Teaching
Courses and curriculum
Optimization, statistics, and operations — from undergraduate operations management to Ph.D. courses in statistical modeling and a graduate course on optimization for machine learning.
Curriculum development
Optimization Methods for Machine Learning — designed from scratch for the Masters in Information Technology and Analytics (MITA) program, connecting modern first-order methods to the practice of large-scale learning.
Introduction to Linear Statistical Models (Ph.D.) — rebuilt around modern topics and techniques arising in business data analytics.
Rutgers University
Optimization Methods for Machine Learning
M.S. (MITA program) — created and designed the course
Introduction to Linear Statistical Models
Ph.D. — redesigned around modern business data analytics
Operations Management
Undergraduate
Linear Programming
Undergraduate
Business Research Methods
Undergraduate
Earlier: Courant Institute, NYU
Multivariable Analysis
Graduate — instructor
Calculus
Undergraduate — instructor
Teaching-assistant appointments at Courant (probability, analysis, PDEs for finance) are listed in the full CV.