Stanford University, incoming PhD student in Management Science and Engineering
Stanford University, B.S. Mathematical and Model Engineering, GPA: 3.97, ongoing
International School of Lausanne, Bilingual IB Diploma, 44/45 pts, 2019–2023
Relevant coursework
- CS 106B – Programming Abstractions
- CME 295 – Transformers and Large Language Models
- Datasci 161 – Causality, Decision Making and Data Science
- Econ 102A – Statistics for Social Scientists
- Econ 50 – Economic Analysis
- Econ 216 – Development Economics III
- Econ 291 – Social and Economic Networks
- Econ 271 – Intermediate Econometrics II
- Econ 272 – Intermediate Econometrics III: Methods for Applied Econometrics
- Econ 287 – Topics in Market Design
- EE 283 – Markov Decision Processes
- Math 51 – Linear Algebra and Multivariable Calculus
- Math 104 – Applied Matrix Theory
- Math 115 – Real Analysis
- Math 136 – Stochastic Processes
- ME 233 – Automated Model Discovery
- MS&E 228 – Applied Causal Inference
- MS&E 319 – Matching Theory
- MS&E 408 – Directed Reading (spectral graph theory)
- Physics 83N – Physics in the 21st Century
- Soc 341W – Inequality Workshop
- Soc 315W – Economy and Society Workshop
- Stats 117 – Probability Theory
- Stats 118 – Probability Theory for Causal Inference
- Symsys 1 – Symbolic Systems