Resume

See my resume here.

Selected Coursework @ Stanford (Graduate-level marked with a *)

Mathematics:

• MATH 61CM: Honors Linear Algebra & Real Analysis
• MATH 120: Groups and Rings
• MATH 121: Galois Theory
• MATH 144: Introduction to Topology \& Geometry
• MATH 154: Algebraic Number Theory
• MATH 155: Analytic Number Theory
• MATH 210A*: Modern Algebra I
• MATH 215A*: Algebraic Topology
• MATH 220A*: Applied Partial Differential Equations

Computer Science:

• CS 112: Operating Systems II
• CS 143: Compilers
• CS 149: Parallel Computing
• CS 154: Introduction to the Theory of Computation
• CS 224N*: Natural Language Processing with Deep Learning
• CS 224R*: Deep Reinforcement Learning
• CS 229*: Machine Learning
• CS 254*/254B*: Computational Complexity I/II
• CS 256*: Algorithmic Fairness
• CS 259Q*: Quantum Computing
• CS 261*: Combinatorial Optimization
• CS 265*: Randomized Algorithms and Probabilistic Analysis
• CS 328*: Foundations of Causal Machine Learning
• CS 336*: Language Modeling From Scratch (self-study)
• CS 355*: Advanced Topics in Cryptography

Statistics:

• STATS 200*: Introduction to Statistical Inference
• STATS 300A*/300B*: Theory of Statistics I/II
• STATS 305A*: Applied Statistics I
• STATS 310A*/310B*/310C*: Theory of Probability I/II/III
• STATS 315A*: Modern Applied Statistics
• EE 364A*/364B*: Convex Optimization I/II
• MS&E 228*: Applied Causal Inference w/ Machine Learning \& AI

Economics:

• ECON 50/51: Intermediate Microeconomics I/II
• ECON 52: Intermediate Macroeconomics
• ECON 136: Market Design
• ECON 203*: Microeconomics II (game theory)
• ECON 257*: Industrial Organization I
• ECON 284*: Simplicity and Complexity in Economic Theory