- Theoretical Foundations of Large-Scale Machine Learning.
- Probability and Stochastic Process I.
- Convex Optimization for Data Science.
- Detection and Estimation Theory.
- Analysis I.
- Physics Modelling using Neural Networks.
- Neural Networks.
Ph.D. student at North Carolina State University, Raleigh.