Graduate Studies
This page is a personal learning record rather than an official transcript. I keep it because these courses, independent studies, and teaching experiences mark the path that helped me grow into a statistics researcher and educator.
At Stony Brook University, I earned an M.S. in Applied Mathematics and Statistics and advanced graduate certificates in Operations Research and Data & Computational Science. I am now a Ph.D. candidate in Applied Mathematics and Statistics on the Statistics Track.
Formal graduate coursework
Applied Mathematics and Statistics
- AMS 500: Responsible Conduct of Research and Scholarship
- AMS 507: Introduction to Probability
- AMS 510: Analytical Methods for Applied Mathematics and Statistics
- AMS 540: Linear Programming
- AMS 550: Stochastic Models
- AMS 553/CSE 529: Simulation and Modeling
- AMS 556: Dynamic Programming
- AMS 569: Probability Theory
- AMS 570: Introduction to Mathematical Statistics
- AMS 571: Mathematical Statistics
- AMS 572: Data Analysis
- AMS 573: Categorical Data Analysis
- AMS 578: Regression Theory
- AMS 580: Statistical Learning
- AMS 582: Design and Analysis of Experiments
- AMS 586: Time Series
- AMS 595: Fundamentals of Computing
- AMS 597: Statistical Computing
- AMS 598: Big Data Analysis
- AMS 691: Fundamentals of Reinforcement Learning
Computer science
Economics
Science communication
Research and teaching registrations
My instructor and teaching assistant record is summarized on the Teaching & Mentoring page.
Independent study
These subjects were explored independently rather than completed as formal registered courses:
- AMS 587: Nonparametric Statistics
- AMS 588: Failure and Survival Data Analysis
- ECO 604/AMS 552: Game Theory I
- ECO 605/AMS 555: Game Theory II
- STAT 6520: Applied Statistical Analysis with Missing Data
Topics for future study
These pages record subjects and references that I hope to study more deeply. They are not completed-course claims: