Courses
Fall 2018:
- Math 55A: Algebra
- Econ 1011A: Microeconomic Theory I
- Stat 210 (G): Probability I
Spring 2019:
- Econ 1152: Big Data in Economics
- Math 55B: Analysis and Topology
- Stat 212 (G): Probability II
- CS 181: Machine Learning
- 6.853 (G): Introduction to Algorithmic Game Theory (final project: report)
Fall 2019:
- CS 61: Systems
- CS 223 (G): Probability and Algorithms (final project: report)
- Stat 211 (G): Inference I
- Math 114: Measure Theory
Spring 2020:
- CS 229R (G): Essential Coding Theory
- CS 228 (G): Computational Learning Theory report
- Ling 190: Introduction to Computational Linguistics (final project: report)
- Math 243 (G): Evolutionary Dynamics
Fall 2020:
- CS 229R (G): Spectral Graph Theory in Computer Science (final project: report, slides)
- CS 222 (G): Algorithms at the End of the Wire
- Stat 236 (G): Statistical Machine Learning (final project: report, slides)
- Math 278y (G): Introduction to Spinglasses
- 6.438 (G): Algorithms and Inference
Spring 2021: