Senior Thesis

A thesis is a more ambitious undertaking than a project. Most thesis writers within Applied Mathematics spend two semesters on their thesis work, beginning in the fall of senior year.  Students typically enroll in Applied Mathematics 91r or 99r (or Economics 985, if appropriate) during each semester of their senior year.  AM 99r is graded on a satisfactory/unsatisfactory basis.  Some concentrators will have completed their programs of study before beginning a thesis; in situations where this is necessary, students may take AM 91r for letter-graded credit, for inclusion in Breadth section (v) of the plan of study.  In the spring semester, the thesis itself may serve as the substantial paper on which the letter grade is based.  Econ 985 is also letter-graded, and may be included in the Breadth section of the plan of study in place of AM 91r.

Another, somewhat uncommon option, is that a project that meets the honors modeling requirement (either through Applied Mathematics 115 or 91r) can be extended to a thesis with about one semester of work.  Obviously the more time that is spent on the thesis, the more substantial the outcome, but students are encouraged to write a thesis in whatever time they have. It is an invaluable academic experience.

The thesis should make substantive use of mathematical, statistical or computational modeling, though the level of sophistication will vary as appropriate to the particular problem context. It is expected that conscientious attention will be paid to the explanatory power of mathematical modeling of the phenomena under study, going beyond data analysis to work to elucidate questions of mechanism and causation rather than mere correlation. Models should be designed to yield both understanding and testable predictions. A thesis with a suitable modeling component will automatically satisfy the English honors modeling requirement; however a thesis won't satisfy modeling Breadth section (v) unless the student also takes AM 91r or Econ 985.

Economics 985 thesis seminars are reserved for students who are writing on an economics topic. These seminars are full courses for letter-graded credit which involve additional activities beyond preparation of a thesis. They are open to Applied Mathematics concentrators with suitable background and interests.

Students wishing to enroll in AM 99r or 91r should follow the application instructions on my.harvard.

Thesis Timeline

The timeline below is for students graduating in May. The thesis deadline for May 2026 graduates is Friday, March 27, 2026 at 2:00PM. For off-cycle students, a similar timeline applies, offset by one semester. The thesis due date for February 2027 graduates is Friday, November 20, 2026 at 2:00PM. Late theses are not accepted.

Mid to late August:

Students often find a thesis supervisor by this time, and work with their supervisor to identify a thesis problem. Students may enroll in Econ 985 (strongly recommended when relevant), AM 91r, or AM 99r to block out space in their schedule for the thesis.

Early December:

All fourth year concentrators are contacted by the Office of Academic Programs. Those planning to submit a senior thesis are requested to supply certain information. This is the first formal interaction with the concentration about the thesis.

Mid-January:

A tentative thesis title approved by the thesis supervisor is required by the concentration.

Early February:

The student should provide the name and contact information for a recommended second reader, together with assurance that this individual has agreed to serve. Thesis readers are expected to be teaching faculty members of the Faculty of Arts and Sciences or SEAS. Exceptions to this requirement must be first approved by the Directors, Associate Director, or Assistant Director of Undergraduate Studies. For AM/Economics students writing a thesis on a mathematical economics topic for the March thesis deadline, the second reader will be chosen by the Economics Department. For AM/Economics students writing for the November deadline, the student should recommend the second reader.

On the thesis due date:

Thesis due at 2pm. Late theses are not accepted. See the Submitting Your SEAS A.B Thesis section below for instructions and details. 

Late May:

The Office of Academic Programs will send readers' comments to the student in late May, after the degree meeting to decide honors recommendations.

Thesis Readers

The thesis is evaluated by two readers, whose roles are further delineated below.  The first reader is the thesis adviser.  The second reader is recommended by the student and adviser, who should secure the agreement of the individual concerned to serve in this capacity.  The reader must be approved by the Directors, Associate Director, or Assistant Director of Undergraduate Studies.  The second reader is normally a teaching member of the Faculty of Arts and Sciences, but other faculty members or comparable professionals will usually be approved, after being apprised of the responsibilities they are assuming.   For theses in mathematical economics, the choice of the second reader is made in cooperation with the Economics department.  The student and thesis adviser will be notified of the designated second reader by mid-March.

The roles of the thesis adviser and of the outside reader are somewhat different.  Ideally, the adviser is a collaborator and the outside reader is an informed critics.  It is customary for the adviser's report to comment not only on the document itself but also on the background and context of the entire effort, elucidating the overall accomplishments of the student.  The supervisor may choose to comment on a draft of the thesis before the final document is submitted, time permitting.  The outside reader is being asked to evaluate the thesis actually produced, as a prospective scientific contribution — both as to content and presentation.  The reader may choose to discuss their evaluation with the student, after the fact, should that prove to be mutually convenient.

Format

The thesis should contain an informative abstract separate from the body of the thesis.  At the degree meeting, the Committee on Undergraduate Studies in Applied Mathematics will review the thesis, the reports from the two readers and the student’s academic record. The readers (and student) are told to assume that the Committee consists of technical professionals who are not necessarily conversant with the subject matter of the thesis so their reports should reflect this audience.

The length of the thesis should be as long as it needs to be to make the arguments made, but no longer!

Submitting Your SEAS A.B. Thesis:

 

How do I submit my thesis?

  • Before submitting your thesis, please determine if your thesis includes sensitive data. Contact (Beth Musser (CS)/Sarah Colgan (AM, Engineering, ENCE)) and do not submit your thesis until we’ve established a secure method of doing so.
  • All SEAS theses are due at 2pm on their due date.
  • Electronic copies in PDF format should be emailed by the student to the advisor, reader(s), and the submission email for your concentration on or before the deadline.
  • An electronic copy should also be submitted via the SEAS online submission system (ProQuest ETD) before the deadline.
    • During this online submission process, the student will also have the option to make the electronic copy publicly available via DASH, Harvard’s open-access repository for scholarly work.
    • Please note that ProQuest does not publish undergraduate theses online, though students have the option of ordering a hard copy. Students still need to complete the ProQuest Publishing Options page on the website, even though most of those questions do not apply to undergraduate work. You do not need to delay the publishing to ProQuest because they will not publish it, or you may choose to delay “Until the following date:” and leave the date blank.
  • Readers will receive a rating sheet to be returned to the Office of Academic Programs.

What Happens to Your Submission?

There are three separate thesis publication services that are part of the submission process. Senior A.B. theses submitted to SEAS are made accessible via the Harvard University Archives.  During the submission process in the ProQuest portal, the student will also have the option to make the electronic copy publicly available via DASH. 

  1. ProQuest: ProQuest is the service through which you are required to submit your thesis. ProQuest will not publish your thesis, but you may order a printed hard copy from them.
    1. Basic document information (e.g., author name, thesis title, degree date, abstract) will be collected via the ProQuest submission system.
  2. Harvard Archives (accessible via HOLLIS): Whether or not a student opts to make the thesis available through DASH, an electronic copy will be submitted to the Harvard University Archives.
    1. Harvard Archives may make the thesis accessible to researchers per University policy. For a period of five years after the acceptance of a thesis, the Archives will require an author’s written permission before permitting researchers to create or request a copy of any thesis in whole or in part.
    2. Students who wish to place additional restrictions on the record copy in the Archives must contact the Archives directly, independent of the online submission system.
  3. DASH (Digital Access to Scholarship at Harvard): Harvard's open-access repository for scholarly work. You may opt in to having your thesis published here.
    1. Students can also make code or data for senior thesis work available. They can do this by posting the data to the Harvard Dataverse or including the code as a supplementary file in the DASH repository when submitting their thesis in the SEAS online submission system.

Additionally, SEAS will keep an electronic copy as a non-circulating backup for the use of the concentration’s degree committee. 

Please note that theses ordinarily will not be approved for any form of publication until close to or after the degree date.

 

Data Safety
Before you submit your thesis, please let us know if your thesis contains data that is a Level 4 Risk or above. If you believe it does, please email (Beth Musser (CS)/Sarah Colgan (AM, Engineering, ENCE)) and do not submit your thesis until we’ve established a secure method of doing so. 

What is Level 4 data?

Level 4 data is "Restricted Personal Information" – Specific to privacy regulations, laws or sensitivity.

  • Government IDs (e.g., Social Security, passport, driver's license)
  • Personal financial details (e.g., bank or credit card numbers)
  • HIPAA-protected health information
  • GDPR/PIPL- extra sensitive data (e.g., biometric, health info)
  • Identifiable genetic data
  • Disclosure could put a subject at risk (e.g. legal, political, physical)

More information is available on this Quick Reference Guide PDF.

 

 

Thesis Examples

Some recent thesis examples across all of SEAS can be found on the Harvard DASH (Digital Access to Scholarship at Harvard) repository. Search the FAS Theses and Dissertations collection for "applied mathematics" to find dozens of examples.

Note: Additional samples of old theses can be found in McKay Library. Theses awarded Hoopes' Prizes can be found in Lamont Library.

Theses submitted in 2026

(Muhammad) Saad AtifLegal Credibility as a State Variable: Dispute Exposure and the Transmission of Monetary Shocks into Private Capital Markets
Khalil Ben-GacemMonetary Shocks into Private Capital Markets
Lindsey BrailOn Math and Menopause: Refining Agent-Based Modeling Approaches to Life History Evolution
Shane BrosnanSuper-Shoe Technology and the Progression of Elite Distance Running
Oakley BrowningLights Out: Conditional Execution Failure in Dark Pools Under Market Stress
Camilo Brown-PinillaON TRANSLATION AS A SYMMETRY OF LANGUAGE
Ben ChoiLatent Structure of Affective Representations in Large Language Models
Franny ConnorsWhen the Tide Comes In: Climate Risk, Insurance, and the Housing Market
Layla DawitRobust Methods for Unobtrusive Arm Motion Tracking and Estimation
Peter DonetsInstitutional Co-Holdings Geometries
Abhay DuggiralaWhen Banks Leave Town: Deposit-Driven Branch Consolidation and Its Local Economic Consequences
Liv ErnstFollow the Money: A Composite Behavioral Risk Scoring Approach to Detect Cognitive Decline in Older Bank Customers
Hawraz JamalBeyond the Hype: Venture Capital Funding Outcomes of AI Startups
Kate KadyanCapitalize and Capitulate: Electoral Competition Under Uncertain Valence
Jenna Kempster-TaylorNeedles in the Haystack: Unsupervised Methods of Anomaly Detection in Astronomical Surveys
Evan LiuNew on Netflix: Streaming and the Reallocation of Cultural Trade
Jacqueline LiuSwing and a Miss: Uncovering Behavioral Biases in MLB Betting Markets
Sofia MelnychuckSubword tokenization for low resource, morphologically rich languages: A morphologically constrained tokenizer for Lithuanian
Chris MesfinBetween and Rock and Steel Price: Steel Tariffs, Input Cost Uncertainty, and Oil Drilling Investment
Shawn MobleyZooMR: Automated Taxonomic Identification from Collagen Using a Hierarchical Bayesian Model
Ian MooreWhy We Need Better Action Generalization and How to Achieve It
Robin PanAF3Design: Selectivity-Aware Nanobody Design with AlphaFold3
Lydia QinChanneling Knowledge Spillovers: Economic Impacts of NIH Funding on the Science R&D Industry
Cristopher RosasRepresentations and Recategorization: Evidence from IPO Pricing
Campbell RutherfordA comparative analysis of interstitial lung disease in the systemic autoimmune rheumatic diseases using All of Us data
Jacqui SchlesingerWhy It’s Important To Be Wrong: Systematic Bias and the Limits of Accuracy in 2024 Pre-Election Presidential Polls
Julia ShephardContact, Competition, and Culture: Understanding Attitudes Towards Immigrants in Sub-Saharan Africa
Ben ShryockMoney Making Matching Markets: Analyzing Student-Athlete Sorting and Welfare Outcomes under NCAA NIL-Policy
Molly StoltzGender at the Margin: Women Elected to School Boards and Student Achievement
Johnathan SunThe User in the Prompt: A Theory of Context-Sensitive Choice in Language Models
Mark TakkenDistance-preserving set embeddings: theory and applications
Kevin WangThe Scarring Effects of COVID-19 on Household Debt in Thailand
Dylan WuDeep Learning Derived Quantification of Reticular Pseudodrusen for Survival Modeling of Progression to Age-Related Macular Degeneration in a Large Real-World Cohort

Theses submitted in 2025

Rhea AcharyaMulti-Persona Oracles for Fair Classification
Amal AdamVolatility and Resilience in Islamic vs. Conventional Equity Markets: A Time-Frequency Analysis of Sharia-Compliant Firms
Sam BjarnasonMore Choices, Less Extremism: The Effect of Ranked-Choice Voting on Political Extremism in Maine
Elizabeth BrahinRethinking Public Education: The Impact of Encouraging Entrepreneurial Attributes in Middle School — A Case Study on Mathletes in Chicago Public Schools
David BrownNavigating Zero-Pressure Balloons
Sofia CaglieroPeeking Through the Iron Curtain: How Finnish Television Influenced Politics and Culture in Soviet Estonia
Kevin ChenEffect of Chinese Foreign Direct Investment on Development in Sub-Saharan Africa
Michelle DoanAid That Pays Dividends: The Long-Term Impact of Gavi’s Vaccination Programs on Education and Health
Eyad ElsafouryExchange Rate Pass-Through from Parallel Foreign Exchange Markets
Mads GroeholdtBehavioral Responses to Capital Taxation: Evidence From the Norwegian Wealth Tax
Addea GuptaDecoding Germline Genetic Influence on Cancer Somatic Mutation Acquisition
Sofia HilgerStructural Connectivity Changes and Prognosis in Comatose Patients Post-Cardiac Arrest
Mai HoangValuation of Solar Asset-Backed Bonds After Issuance: Did the Inflation Reduction Act Lower Spreads Over Benchmark Treasury?
Chris HuangShades of Sunshine: Adaptation of Contract Completeness in Florida Public Procurement
David HuangLLM-based Proxies for Preference Elicitation in Combinatorial Auctions
Sanjna KediaContext Clues: Probing Proactive LLM Decision-Making in Ambiguous, Socially Contextualized Multi-Turn Interactions
Alice KhayamiSold to the Highest Bidder: Can We Rethink Fairness in Targeted Advertising, or Are We Placing a Losing Bet
Andy KimFamous Views of Economics: An AI-Based Analysis of Japanese Woodblock Print Subject Matter and Economic Circumstances
Krishi KishoreDrugs and Deals: Understanding Biopharmaceutical Venture Capital Performance and Behavior
Hironori KondoElectron–Phonon Coupling in Metal–Organic Frameworks
Jess LiangHow antibiotic resistance evolves in patients with acute bloodstream infections
Andrew LimLogistics in the Line of Fire: A Stochastic Programming Model for Contested Environments
Stephanie LinReal Bubbles, Synthetic Traders: AI-Agent-Based Simulations of the Speculative Market
Nicholas LopezDynamic, Welfare-Maximizing Pooled Testing
Eva MammenFrom Crowded Classrooms to Empty Halls: How Enrollment Fluctuations Shape Students’ Academic Success
Emily McCallumBeyond the Stars: Optimizing Residual Images and Source Counts in Deep-Field Spitzer IRAC Mosaics
Yash MoreA Proposed Framework for Optimally Managing Fisheries
Hayat Muse HassanHarnessing UniAnalytics: Exploring the Role of Engagement and Collaboration in Student Success in Jupyter Notebook Environments
Arjun NageswaranOptimal Taxation and Human Capital Policies Across Space
Brooke NewburySimulations of Judicial Pretrial Decisions to Explore Risk Assessment Validation
Colombe Obono EyonoThe Price of a Neighbor's Hate: Assessing the Educational Impacts of the 2019 Xenophobic Uprising in South Africa
Mallory RogersUnpacking Length of Stay in Youth Homeless Shelters: A Demographic and Outcome-Based Analysis of Best Practices
Karen SongThe Peso Perspective: Understanding Risk and Return in Global Currency Markets
Van TranFuel Burn Tradeoffs in Safety-Optimized Trajectories for Uncrewed Aircraft Systems
Spencer TysonPathways to Progress: The Role of Academic and Technical High Schools in Black Economic Advancement, 1900-1940
Melanie VolzPuzzling Art Market Relationships: Quantifying Provenance to Model Historic Prices of Seventeenth- to Eighteenth-century French Art
Kushan WeerakoonMicro-Estimation of Poverty Using Transformers and Other AI/ML Approaches