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)