Graduate Coursework
- -Advanced Optimization
- -Advanced Probability I(Measure Theoretic)
- -Advanced Probability II(Large Deviations, Gibbs Measures, Anticoncentration etc)
- -Algorithmic Game Theory
- -Applied Spatial Statistics
- -Arithmetic Hyperbolic 3-Manifolds
- -Asymptotic Statistics
- -Combinatorial Optimization and Approximation Algorithms
- -Decision Theory
- -Individual Studies: Information Geometry + Differentiable Manifolds
- -Mathematics of Deep Learning
- -Modern Discrete Probability: From Random Graphs to Spin Systems
- -Multivariate Statistics
- -Randomised Algorithms
- -Stability and Privacy in ML
- -Statistical Learning Theory
- -Theory of Distributed Systems
Teaching Assistant Roles
- -Applied Machine Learning and Causal Inference
- -Advanced Stochastic Processes (Graduate)
- -Advanced Probability II (Large Deviations, Gibbs Measures, Anticoncentration etc) (Graduate)