brown applied math phd deadline

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Applied Mathematics has a profound impact on our daily lives. Whether it is search engines, climate modeling, weather forecasts, artificial intelligence, secure online shopping, brain imaging, or movie recommendations, none of these would work the way they do without algorithms and tools from the mathematical sciences. More generally, Applied Mathematics is an inherently interdisciplinary subject, covering problems arising in all areas of science, technology, and engineering. Our courses provide a broad qualitative and quantitative background for use in these fields.

Applied Mathematics appeals to people with a variety of different interests, ranging from those with a desire to obtain a good quantitative background for use in some future career, to those who wish to have a better understanding of the basic mathematical aspects of other fields, or to those who are interested in the fundamental mathematical techniques and approaches in themselves. The program stresses but is not limited to scientific computing, differential equations, probability, and statistics, which are areas of mathematics that are used most often in applications in science, society, and industry. Our curriculum is flexible enough to meet the goals and interests of a very wide range of students.

Students take courses in applied mathematics for many reasons, not necessarily with an applied mathematics concentration in mind. The value of learning about applied mathematics goes beyond a career opportunity. It provides an education in the use of quantitative methods in thinking about and solving problems, knowledge that is valuable in all walks of life.

We offer four concentrations for undergraduates: Applied Mathematics (A.B. & Sc.B.), Applied Mathematics-Biology (Sc.B.), Applied Mathematics-Computer Science (Sc.B.), Applied Mathematics-Economics (A.B. & Sc.B.). This page describes the concentration in Applied Mathematics.

The concentration in Applied Mathematics is the most flexible of all of our concentrations. Students are required to build a foundation in calculus, linear algebra, differential equations, and basic computer programming. Beyond these foundations, there is a great deal of flexibility as to which areas of mathematics and which areas of applications are pursued. Both the A.B. and the Sc.B. allow students to earn concentration credit by taking advanced courses in almost any of the STEM (Science, Technology, Engineering, Mathematics) disciplines. The purpose is to encourage students to develop expertise in both mathematics and an applied area that might be amenable to mathematical investigation.

Standard program for the A.B. degree.

Standard program for the sc.b. degree., professional tracks.

The requirements for the professional tracks include all those of each of the standard tracks, as well as the following:

Students must complete full-time professional experiences doing work that is related to their concentration programs, totaling 2-6 months, whereby each internship must be at least one month in duration in cases where students choose to do more than one internship experience.  Such work is normally done at a company, but may also be at a university under the supervision of a faculty member. Internships that take place between the end of the fall and the start of the spring semesters cannot be used to fulfill this requirement.

On completion of each professional experience, the student must write and upload to ASK a reflective essay about the experience, to be approved by the student's concentration advisor, addressing these questions:

• Which courses were put to use in your summer's work?  Which topics, in particular, were important?
• In retrospect, which courses should you have taken before embarking on your summer experience?  What are the topics from these courses that would have helped you over the summer if you had been more familiar with them?
• Are there topics you should have been familiar with in preparation for your summer experience, but are not taught at Brown?  What are these topics?
• What did you learn from the experience that probably could not have been picked up from course work?
• Is the sort of work you did over the summer something you would like to continue doing once you graduate? Explain.
• Would you recommend your summer experience to other Brown students? Explain.

Concentrators (A.B. or Sc.B.) that demonstrate excellence in grades and in undergraduate research can be awarded departmental honors. Complete guidelines, requirements, and deadlines for honors are published on the department website . The first deadline is at the beginning of the student’s senior year (i.e., the start of the penultimate semester).  The main requirements include:

• Earning grades of A or S-with-distinction in at least 70% of the courses used for concentration credit, excluding calculus and linear algebra, by the end of the penultimate semester.
• Completion of an in-depth, original research project in a STEM discipline carried out under the guidance of a Brown-affiliated faculty advisor and documented with the completion of two semesters of independent study courses under the advisor’s supervision.
• Completion of an honors thesis describing this research project that also demonstrates the use of mathematical methodology in the project.  The honors thesis must be approved by the student’s thesis advisor and a second reader, at least one of which must be faculty member in the Division of Applied Mathematics.

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Ph.d. requirements.

• Academics & Research
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Brown University awards more than 200 doctor of philosophy degrees annually.

The Brown Ph.D. is primarily a research degree. Teaching is an important part of many doctoral programs, and many departments require candidates for the Ph.D. to have teaching experience.

Brown University offers substantial financial support to doctoral students. All incoming doctoral students are guaranteed five years of support, which includes a stipend, full tuition remission, health-services fee, and a health-insurance subsidy. Doctoral students in the Humanities and Social Sciences are guaranteed six years of support. All promises of student support are subject to students making satisfactory academic progress, as determined by their programs of study. Please see related links for additional details regarding the University's commitment to doctoral education.

Ph.D. Funding

Funding guarantee, four general requirements for the doctor of philosophy.

The candidate must be formally admitted to his or her degree program.

The normal residency requirement is the equivalent of three Academic Years of full-time study beyond the bachelor's degree. Students who enter a PhD program at Brown already holding a master’s degree in a related field have a residency requirement equivalent to two Academic Years of full-time study upon entering the PhD program at Brown. Use of a previously earned master’s degree to reduce PhD residency requirements is contingent upon approval of the program Director of Graduate Study. Graduate work done at other institutions and not used in fulfillment of the requirements for any doctoral degree elsewhere may, on the approval of the program Director of Graduate Study, be counted in fulfillment of up to, but not exceeding, one year of the residency requirement. A student who desires credit for work done elsewhere should file a timely application with the program Director of Graduate Study; transfer credit forms are available through the  Office of the Registrar .

A student is advanced to candidacy for the Ph.D. when he or she has completed satisfactorily all the requirements, departmental and general, requisite to beginning work on the dissertation. Candidacy is determined by the department or program of study and certified by the Registrar. Most departments require a preliminary examination before advancing any student to candidacy. Most departments also require a final examination or defense. The examination is conducted by professors in the department and by such other members of the faculty as may be appointed.

The candidate must present a dissertation on a topic related to his or her area of specialization that presents the results of original research and gives evidence of excellent scholarship. The dissertation must be approved by the professor or committee under whose direction it is written and by the Graduate Council. All requirements for the Ph.D. must be completed within five years after advancement to candidacy.

Faculty Member Leaves Brown

If a faculty member working with a doctoral student leaves Brown for any reason before that student has completed his or her degree requirements, it may not always be possible for that faculty member to continue working with the student as an advisor. In such cases, departments will work with students to help them locate a new advisor.

Additional Requirements

Individual departments and programs may have additional requirements regarding the number of courses to be taken, proficiency in foreign languages, special examinations, and theses. The department should be consulted for specific information.

Applied Mathematics

Prospective master's students, prospective master's students, applied mathematics master's program.

Besides the Data Science Master's degree, the Division of Applied Mathematics does not offer a professional Masters program. However, Brown undergraduate and graduate students can enroll in our graduate program to earn a ScM in Applied Mathematics in four different ways:

Four-Year Concurrent Degree Program:   The Four-Year Concurrent Degree Program leads to a Baccalaureate and Master’s Degree.  This program allows exceptionally capable Brown students to combine their last year or two of undergraduate study with graduate study, resulting in the simultaneous completion of both a Baccalaureate Degree and a Master’s Degree.

Open Graduate Program:  The new open graduate program allows Brown PhD students to purse a ScM in a different discipline while they work on their PhD. For more information please click here .

Fifth Year Masters:  Brown undergraduates may be allowed to continue at the University for a master’s degree after completing their bachelor’s degrees.

Master’s Degree en Route to Ph.D .:  Brown Ph.D. students from any discipline can earn an ScM  degree in applied mathematics if they satisfy the requirements for the ScM degree. Applied Mathematics Ph.D. students automatically receive an ScM in Applied Mathematics once they satisfy the requirements for the ScM degree. This is subject to the approval of the student’s Director of Graduate Studies.

For more details about the Sc.M. degree download the application

Brown undergraduate students interested in receiving a 5th year Masters in Applied Mathematics can find information on how to apply by visiting the  Graduate School, 5th Year Master's Degree  webpage.

Pooja Agarwal and Prabhatika Vij celebrate Commencement Day Data Science Master's Program

The Data Science Initiative at Brown University offers a professional Master's program in Data Science that will prepare students from a wide range of disciplinary backgrounds for distinctive careers in Data Science. Rooted in a research collaboration among Applied Mathematics, Biostatistics, Computer Science, and Mathematics, the Master's program will offer a rigorous, distinctive, and attractive education for people building careers in Data Science and/or in Big Data Management. The program's main goal is to provide a fundamental understanding of the methods and algorithms of Data Science. More information about the curriculum and admissions can be found on our  Data Science Master's Program   page.

Data Science Insitute

Center for computational molecular biology.

The Center for Computational Molecular Biology (CCMB) offers Ph.D. degrees in Computational Biology to train the next generation of scientists to perform cutting-edge research in the multidisciplinary field of Computational Biology.

Ph.D. Program

During the course of their Ph.D. studies, graduate students will develop and apply novel computational, mathematical , and statistical techniques to problems in the life sciences. Students in this program must achieve mastery in three areas - computational science, molecular biology, and probability and statistical inference - through a common core of studies that spans and integrates these areas.

Watch this video to hear about our program directly from some students and faculty:

Informational Video - Brown University's Computational Biology Ph.D. Program

Graduate Study in Computational Biology at Brown

The Computational Biology Ph.D. program's completion requirements include six graduate-level courses, at least two eight-week laboratory rotations, a preliminary research presentation, dissertation, and oral defense. 

The Ph.D. program in Computational Biology draws on course offerings from the disciplines of the Center’s Core faculty members. These areas are:

• Computer Science (CS)
• Applied Mathematics (APMA)
• Division of Biology and Medicine (BioMed)
• Brown Center for Biomedical Informatics (BCBI)
• School of Public Health/Biostats (SPH)

Our faculty and Director(s) of Graduate Studies (DGS) work with each student to develop the best plan of coursework and research rotations to meet the student’s goals in their research focus and satisfy the University’s requirements for graduation.

Please see the Application Information page and the  Prospective Student FAQ to learn more about the application and admissions process!

Applied Mathematics Ph.D. Program

Prospective students interested in both Applied Mathematics and Computational Biology should be aware that these are two separate programs of study with independent application processes. Our program allows students to work with faculty within the Division of Applied Mathematics, however we only grant degrees in Computational Biology. If you are interested in a degree from the Division of Applied Mathematics, we encourage you to apply to their program directly using the links below. Applied Mathematics Ph.D. program

Group of CCMB Graduate Students

CCMB Grad Students and Faculty at PEQG22

CCMB Grad Student, Pinar Demetci, Defends her Thesis

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Application and Admissions Process

Please note:   Consideration of COVID-19 Disruptions The deadline to apply for admission into the CAM PhD program is January 7 . Applications are only accepted for the fall semester. Begin the application process by creating an account on the Graduate School's  application page . The online application is secure and can be immediately viewed by the CAM admissions committee upon submission. You can learn more about the application process and review additional guidelines on the  Graduate School website .

Materials needed for application process:

• You will be asked to enter typical application information such as nationality, GPA, schools attended, etc.
• You will be required to upload an accurate unofficial transcript for each school you have attended. Please do not send official copies to the CAM office. Please note that there are only up to three fields for listing schools attended. If you attended more than three, you must upload those transcripts in the writing sample portion of the application.
• If you have appropriate supplemental documents such as an undergraduate research paper, awards, etc., upload them in the writing sample portion of the application.
• A statement of purpose is required and can be uploaded directly into the application.
• At least three letters of recommendation are required. Additional letters are allowed. Recommenders may submit their letters online. Once an application is submitted, recommenders receive an automated email soliciting their letter (you will be prompted to provide their contact information before you submit your application). 
• Neither GRE General nor GRE subject scores are accepted.
• The Graduate School requires an application fee of $105. A fee waiver request will be considered if this fee presents a financial hardship. See Application Fees  for instructions on how to submit a waiver request.
• Applicants who are non-US citizens may be contacted via email 1-3 weeks after the application submission deadline to participate in a brief, conversational English video interview (no specialized knowledge necessary). Though not all non-US-citizen applicants will be required to participate in this interview, definite exceptions include citizens of Australia, Canada (except Quebec), Ireland, New Zealand and the United Kingdom.
• Cornell University expects all applicants to complete their application materials without the use of paid agents, credentials services, or other paid professional assistance. The use of such services violates University policy and may lead to the rejection of application materials, the revocation of an admissions offer, cancellation of admission, or involuntary withdrawal from the University.

TOEFL & IELTS Scores 

• Submit official TOEFL iBT or IELTS Academic scores that meet or exceed Cornell's minimum requirements
• Request a standing Exemption by attesting that you meet one of the standing exemptions outlined below. Provide documentation if required. 
• Request a Special Examination (see guidelines below)

How to Send Your Scores to Cornell

IELTS Academic

• When you register for the exam, you may select up to 5 institutions to which you would like to have your scores sent. Cornell University has multiple IELTS accounts so please be sure to select  Cornell University Graduate Admissions  when registering for your IELTS test date.
• You may also ask your test center to send additional score reports to institutions not originally listed on your test registration form. Scores must be sent electronically (e-delivery) to the  Cornell University Graduate Admissions, Caldwell Hall  e-download account. E-delivery may also be referred to as an e-TRF by your test center. Paper TRFs (Test Report Form) are not accepted.
• Your IELTS Academic scores must be valid as of your program’s application deadline (scores are valid for 2 years after your test date).
• Have scores delivered electronically to  Cornell University Graduate School, Institution code 2098.  Department codes are not needed;  if ETS requires you to select a department code, you may choose code 99 “undecided.”
• Your TOEFL scores must be valid as of your program’s application deadline (scores are valid for 2 years after your test date).
• If you have taken the TOEFL iBT more than once within the last 2 years, have ETS send us your most recent score report. ETS will automatically include your  MyBest  scores  along with the traditional scores from your selected test date. If your most recent scores do not meet the Graduate School’s minimum sub-score requirements, but your  MyBest  scores do, let the Graduate School and your proposed field of study know that you would like us to consider your  MyBest  scores. Please note: while the Graduate School accepts  MyBest  scores, individual graduate fields may not accept them.

Standing Exemptions

For admissions purposes, Cornell University Graduate School does not require IELTS or TOEFL scores from applicants who meet one of the following standing exemptions.  However, applicants admitted to research degrees may still need to complete the  English Language Assessment  before being a TA.  If you meet the criteria for one of the following standing exemptions, you will indicate this in your application for admission. There is no need to contact the Graduate Admissions Office in advance.

• Speak English as a first language  and  are a citizen or permanent resident of a country where  English is an official language . Research degree applicants who meet this exemption are automatically approved to serve as a TA without an individual English Language Assessment.
• At the time of enrollment at Cornell, will have earned a bachelor’s degree from an accredited U.S. college or university located in the U.S. (Please note that you must have been physically present in the U.S. for the majority of your enrollment.) Research degree applicants who meet this exemption will need to complete the English Language Assessment and may be offered an individual support plan. 
• At the time of enrollment at Cornell, will have earned the  international equivalent of a U.S. bachelor’s degree  from a college or university located in a country where  English is an official language ,  and  where English is the language of instruction. The medium of instruction must be indicated on the transcript or easily verified on the institution’s website. (Please note that you must have been physically present in the exempt country for the majority of your enrollment.) Research degree applicants who meet this exemption will need to complete the English Language Assessment and may be offered an individual support plan. 
• At the time of enrollment at Cornell, will have studied and/or worked full-time for at least 2 consecutive years* within the last 10 years in a country where  English is an official and widely spoken language . This experience must be noted on a transcript and/or described on a resume or CV. We will accept a combination of study and work—e.g., an applicant who completed a 1-year master’s degree in the U.S. followed by 1 year of OPT. If you are or were a student, the full-time study must have been for at least 2 consecutive academic years (potentially slightly less than 24 months) AND English must have been the language of instruction for your studies. (Please note that you must have been physically present in the exempt country for the majority of your enrollment.) Research degree applicants who meet this exemption will need to complete the English Language Assessment and may be offered an individual support plan. 

Special Exemptions

Applicants who speak English as a first language, but do not otherwise qualify for a standing exemption, may be considered for a special exemption under the following circumstances: 

• Speak English as a first or native language, but citizenship does not meet the Standing Exemption criteria.
• Full-time study or work in a primary English country was for less than 2 years, was not consecutive, or occurred more than 10 years ago.

Contact the  Graduate Admissions Office  if you think you qualify for a  special  exemption. Note: Research degree applicants with special exemptions admitted to research degrees may still need to complete the  English Language Assessment  prior to being a TA.

Any questions, material, or correspondence may to be sent to  [email protected] .   Center for Applied Mathematics 657 Frank H.T. Rhodes Hall Cornell University Ithaca, NY 14583 USA

Department of Statistics at Columbia University

• Assistant Professor (Tenure Track) Position: Starting Fall 2024 – Review begins on November 15, 2023 and will continue until the position is filled.
• Founder’s Postdoctoral Fellowship Position: Starting Fall 2024 – Review begins on January 13, 2024 and will continue until the position is filled.
• Joint Postdoc with Data Science Institute
• Adjunct Faculty Positions – All applications must be made through Columbia University’s Academic Search and Recruiting (ASR) system apply.interfolio.com/102040

Assistant Professor (Tenure Track) Position starting Fall 2024

Position Description: The Department of Statistics invites applications for a tenure-track Assistant Professor position to begin July 1st, 2024. A Ph.D. in statistics or a related field by July 1st, 2024 is required. Candidates will be expected to sustain an active research and publication agenda and to teach in the departmental undergraduate and graduate programs. The field of research is open to any area of statistics and probability.

The Department, like the University itself, is an extraordinarily vibrant academic community. We are especially interested in candidates who through their research, teaching and/or service will contribute to the diversity and excellence of the academic community. Women and minorities are especially encouraged to apply. For further information about the Department and our programs, please go to our webpage at: http://www.stat.columbia.edu

Qualifications: Ph.D. in statistics or a related field by the date of appointment, as is a commitment to high quality research and teaching in statistics and/or probability.

Application Instructions: All applications must be submitted through Columbia’s online Recruitment of Academic Search and Recruitment  portal (ARS) http://apply.interfolio.com/132238 and must include the following materials:  cover letter, curriculum vitae, statement of teaching philosophy, research statement and the names of 3 references, who will be asked to upload letters of recommendation on their behalf.

Salary Range or Pay Grade: $120,000-$135,000

Pay Transparency Disclosure: The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Inquiries may be made to Dood Kalicharan a t [email protected]

Review of applications begins on November 15, 2023, and will continue until the position is filled.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Founder’s Postdoctoral Fellowship Position starting Fall 2024

Position Description: The Department of Statistics invites applications for the 2024 Founder’s Postdoctoral Fellowship in Statistics at Columbia University. This fellowship seeks to bring exceptional scientists of outstanding potential to Columbia University. This two-year fellowship, with no teaching obligations, is to begin between July and September 2024. The Fellow will hold the rank of postdoctoral research scientist in the Department of Statistics. A competitive annual salary will be supplemented with generous funding for conference travel and research support.

Applications in all areas of statistics and probability will be considered: the primary selection criterion will be the candidates’ exceptional promise to produce high quality and visible research. Candidates must have a PhD in statistics or related field by the date of appointment. Fellows will be expected to pursue a vigorous research agenda and to participate actively in the intellectual life of the Department.

The Department currently consists of 38 faculty members and 55 PhD students. The department has been expanding rapidly and, like the University itself, is an extraordinarily vibrant academic community. We are especially interested in candidates who, through their research, teaching and/or service, will contribute to the diversity and excellence of the academic community.

Women and minorities are especially encouraged to apply. For further information about the department and our activities, centers, research areas, and curricular programs, please go to our web page a t: http://www.stat.columbia.edu

Qualifications: PhD in statistics or related field by the date of appointment

Application Instructions: All applications must be submitted through Columbia’s online Academic Search and Recruiting portal (ASR). http://apply.interfolio.com/136121

The application must include the following:

• A cover letter that explains your motivation for applying for this position and indicates your choice of mentors from the statistics
• A curriculum vitae (including a list of publications)
• A brief research statement that summarizes current research interests, past accomplishments, and future research It should contain a short proposal for the research activities you plan to conduct while at Columbia.
• The names of 3 references—references will be asked to upload letters of recommendation in

Review of applications begins on January 13, 2024, and will continue until the position is filled. Inquiries may be made to Dood Kalicharan a t [email protected].

Salary rang e:  $70,000-$100,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Equal Employment Opportunity Statement:

Columbia University is an Equal Opportunity Employer / Disability / Veteran.

Adjunct Faculty Positions Starting Fall 2023

Position Description: The Department of Statistics at Columbia University invites applications for adjunct faculty positions for the academic year of 2023-2024. We are looking for experienced professionals with expertise in statistics, probability, computation, and/or data science and an interest in teaching and mentoring curious and energetic students in a statistics classroom. Adjunct faculty teaches at most one course each semester. The department offers a wide range of courses in statistics, probability, and data science at both undergraduate and graduate levels. A robust proportion of our courses are offered in the late afternoons and evenings.

Qualifications: Ph.D. in statistics or a related field by the date of appointment, as is a commitment to high-quality teaching in statistics, probability, or data science. Preference will be given to applicants with previous teaching experiences and strong communication skills.

Application Instructions: All applications must be made through Columbia University’s Academic Search and Recruiting (ASR) system https://apply.interfolio.com/124535 .

Please upload the following required materials: CV, a short statement on teaching interest and teaching philosophy, sample teaching materials (optional), and up to two names of references (optional).

Applications will be reviewed on a rolling basis. Fall semester deadline is May 1, 2023; Spring deadline is Oct 1, 2023; and Summer deadline is Feb 1, 2024.

Equal Employment Opportunity Statement

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Ten with MIT connections win 2024 Hertz Foundation Fellowships

The fellowships provide five years of funding to doctoral students in applied science, engineering, and mathematics who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”.

The Fannie and John Hertz Foundation  announced that it has awarded fellowships to 10 PhD students with ties to MIT. The prestigious award provides each recipient with five years of doctoral-level research funding (up to a total of $250,000), which allows them the flexibility and autonomy to pursue their own innovative ideas.

Fellows also receive lifelong access to Hertz Foundation programs, such as events, mentoring, and networking. They join the ranks of over 1,300 former Hertz Fellows who are leaders and scholars in a range of fields in science, engineering, and technology. Connections among fellows over the years have sparked collaborations in startups, research, and technology commercialization.

The 10 MIT recipients are among a total of 18 Hertz Foundation Fellows scholars selected this year from across the country. Five of them received their undergraduate degrees at the Institute and will pursue their PhDs at other schools. Two are current MIT graduate students, and four will begin their studies here in the fall.

“For more than 60 years, Hertz Fellows have led scientific and technical innovation in national security, applied biological sciences, materials research, artificial intelligence, space exploration, and more. Their contributions have been essential in advancing U.S. competitiveness,” says Stephen Fantone, chair of the Hertz Foundation board of directors and founder and president of Optikos Corp. “I’m excited to watch our newest Hertz Fellows as they pursue challenging research and continue the strong tradition of applying their work for the greater good.”

This year’s MIT-affiliated awardees are:

Owen Dugan ’24 graduated from MIT in just two-and-a-half years with a degree in physics, and he plans to pursue a PhD in computer science at Stanford University. His research interests lie at the intersection of AI and physics. As an undergraduate, he conducted research in a broad range of areas, including using physics concepts to enhance the speed of large language models and developing machine learning algorithms that automatically discover scientific theories. He was recognized with MIT’s Outstanding Undergraduate Research Award and is a U.S. Presidential Scholar, a Neo Scholar, and a Knight-Hennessy Scholar. Dugan holds multiple patents, co-developed an app to reduce food waste, and co-founded a startup that builds tools to verify the authenticity of digital images.

Kaylie Hausknecht will begin her physics doctorate at MIT in the fall, having completing her undergraduate degree in physics and astrophysics at Harvard University. While there, her undergraduate research focused on developing new machine learning techniques to solve problems in a range of fields, such as fluid dynamics, astrophysics, and condensed matter physics. She received the Hoopes Prize for her senior thesis, was inducted into Phi Beta Kappa as a junior, and won two major writing awards. In addition, she completed five NASA internships. As an intern, she helped identify 301 new exoplanets using archival data from the Kepler Space Telescope. Hausknecht served as the co-president of Harvard’s chapter of Science Club for Girls, which works to encourage girls from underrepresented backgrounds to pursue STEM.

Elijah Lew-Smith majored in physics at Brown University and plans to pursue a doctoral degree in physics at MIT. He is a theoretical physicist with broad intellectual interests in effective field theory (EFT), which is the study of systems with many interacting degrees of freedom. EFT reveals how to extract the relevant, long-distance behavior from complicated microscopic rules. In 2023, he received a national award to work on applying EFT systematically to non-equilibrium and active systems such as fluctuating hydrodynamics or flocking birds. In addition, Lew-Smith received a scholarship from the U.S. State Department to live for a year in Dakar, Senegal, and later studied at ’École Polytechnique in Paris, France.

Rupert Li ’24 earned his bachelor’s and master’s degrees at MIT in mathematics as well as computer science, data science, and economics, with a minor in business analytics.He was named a 2024 Marshall Scholar and will study abroad for a year at Cambridge University before matriculating at Stanford University for a mathematics doctorate. As an undergraduate, Li authored 12 math research articles, primarily in combinatorics, but also including discrete geometry, probability, and harmonic analysis. He was recognized for his work with a Barry Goldwater Scholarship and an honorable mention for the Morgan Prize, one of the highest undergraduate honors in mathematics.

Amani Maina-Kilaas is a first-year doctoral student at MIT in the Department of Brain and Cognitive Sciences, where he studies computational psycholinguistics. In particular, he is interested in using artificial intelligence as a scientific tool to study how the mind works, and using what we know about the mind to develop more cognitively realistic models. Maina-Kilaas earned his bachelor’s degree in computer science and mathematics from Harvey Mudd College. There, he conducted research regarding intention perception and theoretical machine learning, earning the Astronaut Scholarship and Computing Research Association’s Outstanding Undergraduate Researcher Award.

Zoë Marschner ’23 is a doctoral student at Carnegie Mellon University working on geometry processing, a subfield of computer graphics focused on how to represent and work with geometric data digitally; in her research, she aims to make these representations capable of enabling fundamentally better algorithms for solving geometric problems across science and engineering. As an undergraduate at MIT, she earned a bachelor’s degree in computer science and math and pursued research in geometry processing, including repairing hexahedral meshes and detecting intersections between high-order surfaces. She also interned at Walt Disney Animation Studios, where she worked on collision detection algorithms for simulation. Marschner is a recipient of the National Science Foundation’s Graduate Research Fellowship and the Goldwater Scholarship.

Zijian (William) Niu will start a doctoral program in computational and systems biology at MIT in the fall. He has a particular interest in developing new methods for imaging proteins and other biomolecules in their native cellular environments and using those data to build computational models for predicting their dynamics and molecular interactions. Niu received his bachelor’s degree in biochemistry, biophysics, and physics from the University of Pennsylvania. His undergraduate research involved developing novel computational methods for biological image analysis. He was awarded the Barry M. Goldwater Scholarship for creating a deep-learning algorithm for accurately detecting tiny diffraction-limited spots in fluorescence microscopy images that outperformed existing methods in quantifying spatial transcriptomics data.

James Roney received his bachelor’s and master’s degrees from Harvard University in computer science and statistics, respectively. He is currently working as a machine learning research engineer at D.E. Shaw Research. His past research has focused on interpreting the internal workings of AlphaFold and modeling cancer evolution. Roney plans to pursue a PhD in computational biology at MIT, with a specific interest in developing computational models of protein structure, function, and evolution and using those models to engineer novel proteins for applications in biotechnology.

Anna Sappington ’19 is a student in the Harvard University-MIT MD-PhD Program, currently in the first year of her doctoral program at MIT in electrical engineering and computer science. She is interested in building methods to predict evolutionary events, especially connections among machine learning, biology, and chemistry to develop reinforcement learning models inspired by evolutionary biology. Sappington graduated from MIT with a bachelor’s degree in computer science and molecular biology. As an undergraduate, she was awarded a 2018 Barry M. Goldwater Scholarship and selected as a Burchard Scholar and an Amgen Scholar. After graduating, she earned a master’s degree in genomic medicine from the University of Cambridge, where she studied as a Marshall Scholar, as well as a master’s degree in machine learning from University College London.

Jason Yang ’22  received his bachelor’s degree in biology with a minor in computer science from MIT and is currently a doctoral student in genetics at Stanford University. He is interested in understanding the biological processes that underlie human health and disease. At MIT, and subsequently at Massachusetts General Hospital, Yang worked on the mechanisms involved in neurodegeneration in repeat expansion diseases, uncovering a novel molecular consequence of repeat protein aggregation.

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