Academic
A more detailed academic history
A per-university breakdown of programmes, a small selection of key courses, thesis, and extracurriculars.
Section 01
University of Oxford
Oxford, UK
October 2023 - July 2025
Master of Philosophy in Economics, Distinction
Flagship Oxford economics masters. Concentrated on microeconomics but covered essential graduate macro and econometrics. Learned essential Python and R, notably leveraging Python for basic machine learning applications relevant to economics. Distinction in all courses taken, as well as for my thesis.
Thesis
Publish, Perish, or Pivot: Project Completion and Alignment Under an Uncertain Bayesian Signalling Framework
Supervisor: Simon Cowan
Develops a microeconomic model that explains why major projects, from public infrastructure like HS2 to corporate strategy and editorial reviews, are so often cancelled, pursued, or distorted in ways that leave most stakeholders worse off, even when the institutions around them are sound. A decision maker repeatedly interacts with one influential agent of uncertain type whose fuzzy signals also shape the project's odds of success. The model introduces "twice-limited agency", in which the agent chooses only the distribution governing outcome probabilities, producing equilibria where agents appear to vote against their own interests, mutually wanted projects are cancelled, and unpopular ones still advance. A deliberately simple two-agent setup that nevertheless captures the core story behind real coordination failures.
Download thesis (PDF)Key courses
Mathematics
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Further Mathematics
Essential topics within measure theory, real and complex analysis, etc...
Economics
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Industrial Organisation
Empirical and theoretical foundations of cutting-edge IO research, incl. search, market entry, networks, etc...
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Topics in Microeconomic Theory
Exploration of leading micro theory work in the past 1-4 years, incl. full peer reviews of two leading papers pending publication
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Empirical Research Methods
Essential research skills, grounded in R coding, to enable high-quality empirical economics work
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Core Micro, Macro, and Econometrics
Foundational graduate courses in Economics, covering e.g., the new Keynesian model, Bellman equations, auction theory, dynamic panels, etc...
Other
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Foundations of Machine Learning
Introduction to essential Machine Learning skills in Python (scikit-learn, pandas, etc...), incl. a deep research report on ML applications to economics
Extracurriculars and other
- Microeconomics tutor for second-year PPE undergraduates
- Team Lead at The Oxford Strategy Challenge
- Distinction in all courses and thesis; top 5 of 70+ in cohort overall
Section 02
University of Pennsylvania
Philadelphia, USA
August 2020 - May 2022
Bachelor of Arts, Mathematical Economics, Summa Cum Laude
Completed an honors degree in Mathematical Economics (requiring top marks in graduate level courses) at Summa Cum Laude level. Course work included essential mathematical skills from real analysis to partial differential equations, as well as economics skills incl. graduate game theory and microeconomics. Transferred into third-year (Junior) from UNC-Chapel Hill.
Key courses
Mathematics
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Analysis and essentials of measure theory
Full sequence of analysis courses, covering real analysis, measure theory, dynamic optimization, etc...
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Partial differential equations
Engineering-focused course primarily covering PDEs
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Linear Algebra
Main course in linear algebra
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ODEs and introduction to linear algebra
Final course in essential mathematics sequence at Penn, covering ODEs and linear algebra
Economics
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Advanced Game Theory
Graduate course in theoretical game theory, covering e.g., fixed point theoremata (Kakutani, Brouwer), markets for lemons, etc...
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Advanced Microeconomics
Graduate course in theoretical microeconomics, covering e.g., arbitrary preference relations, constrained optimizations, etc...
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Digital Economy
Explored emergent economic trends in the digital world, e.g., network effects, digital search, etc...
Other
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Applied Probability Models in Marketing
Probability modelling using Bayesian principles for forecasting accuracy, e.g., shifted Beta-Geometric, proportional hazard framework, negative binomial dist., etc...
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World Film History to 1945
Explored film history from inception to 1945. Not a ton of relation to maths or economics, but definitely a blast
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Various history courses
Love history, and took time to learn more, incl. History of the Spanish Empire, of Financial Developments, and of African Americans at UPenn
Extracurriculars and other
- Department liaison, Undergraduate Economics Advisory Board
- Board member, International Student Advisory Board
- Academic committee member, Undergraduate Economics Society
- Dean's list in all eligible years
- Flag bearer for Mathematical Economics Major in graduation procession
- Cumulative GPA: 3.98 / 4.00
Section 03
University of North Carolina at Chapel Hill
Chapel Hill, USA
August 2018 - May 2020
Bachelor of Arts, Economics Major & Mathematics Minor
Started an economics and mathematics degree at UNC-Chapel Hill, transferred to the University of Pennsylvania after two years with high marks.
Key courses
Mathematics
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Multivariate Calculus
Final component in calculus sequence, covering differentiation and integration across multiple dimensions
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Discrete Mathematics
First course in discrete mathematics, incl. an introduction to essential proof techniques
Economics
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Intermediate Micro, Macro, and Econometrics
Foundational undergraduate courses in economics, covering e.g., Lagrange optimization, instrumental variables, etc...
Other
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Introduction to Folklore
Course on folklore and methods within folklore, mostly covering US folklore and methods to retain and record folklore traditions. Very little to do with my major, but amazingly interesting
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Various history courses
Love history, and took time to learn more, incl. History of the Cold War and of Old Regime France
Extracurriculars and other
- Committee chair & delegate, Carolina International Relations Association (CIRA)
- Member, UNC Finance Society (UFS)
- Dean's list in all eligible semesters
- Cumulative GPA: 3.93 / 4.00