Teaching

TA of 6.438 - Algorithms for Inference

Graduate course, MIT EECS, 2017

Graduate-level introduction to the principles of statistical inference with probabilistic models defined using graphical representations.

TA of 6.256 - Algebraic Techniques and Semidefinite Optimization

Graduate course, MIT EECS, 2016

Research-oriented course, focused on algebraic and computational techniques for optimization problems involving polynomial equations and inequalities, with particular emphasis on the connections with semidefinite optimization.

TA of 6.042 - Math for Computer Science

Undergraduate course, MIT EECS, 2014

Elementary discrete mathematics for computer science and engineering. Emphasis on mathematical definitions and proofs as well as on applicable methods.