(Major) Convex optimization theory and algorithms with specific interests in:
- Investigating complexity and developing efficient algorithms for Stochastic and Nonlinear Programming
- Distributionally Robust Optimization
- Statistical Inference via Convex Optimization
(Minor) Some practical and real-world application areas I've been working in are:
- Entity Ranking and Statistical Preference Learning
- Revenue Management