@Columbia University

Stochastic Models

• Foundations of Stochastic Processes

• Analysis and Probability - I & II

• Stochastic Modeling - I & II [ Markov Chains, Martingales, Brownian Motion and Stoc. calc. ]

Optimization

• Convex Optimization

• Dynamic Programming

• Optimization - I [Theory and Geometry of Linear & Non Linear Programming]

• Optimization - II [Network Flows ]

Statistics/Learning

• Large Scale Machine Learning

• Computational Bayesian Methods (Audit)

• Computational Statistics

• Econometrics (Audit)

Others

• Advanced Financial Engineering (Audit)

• Game Theory

• Short Couse on Mechanism Design (@Kellogs, Northwestern)

• Production Management

As Teaching Assistant

• Game Theoretic Models of Operation (Fall ’10 ’11)
  

• Operations Research in Public Policy (Spring ’12)
  

• Stochastic Models for Financial Engineering (Summer ’10)
  

• Scheduling: Theory and Algorithms (Spring ’10, ’11)
  

• Deterministic Optimization (Fall ’09)
  
  

@IIT-Madras