Department of Statistics
Dr. Michael Chen
Professor of Statistics
Faculty profile
About Dr. Michael Chen
Michael Chen coordinates introductory statistics and teaches Data Mining and Predictive Modeling. His research addresses Bayesian statistics, predictive modeling, and computational methods for complex data. He directs student data science capstones that partner with campus and municipal organizations.
Dr. Michael Chen is a member of the Department of Statistics in the College of Arts & Sciences.
Areas of expertise
- Mathematical statistics
- Predictive modeling
- Data mining
- Bayesian inference
Contact
- Office
- Ashby Hall 124
- Building
- Ashby Hall
Fall 2026 office hours
- Monday & Thursday, 3:30–5:00 p.m.
In person, Ashby Hall 124 - Tuesday, 3:00–4:00 p.m.
Virtual (Zoom link posted in Canvas)
Also available by appointment. Office hours follow Faculty Handbook §5.3.
2026–27
Teaching
| Course | Title | Credits | Role |
|---|---|---|---|
| DATA 301 | Data Mining and Predictive Modeling | 3 | Instructor, Fall 2026 |
| DATA 490 | Senior Data Science Capstone Project | 3 | Instructor, Spring 2027 |
| STAT 205 | Statistics for Behavioral & Life Sciences | 3 | Course coordinator (all sections, both terms) |
| STAT 310 | Mathematical Statistics and Probability | 3 | Instructor, Fall 2026 |
Department chairs make teaching assignments each year (Faculty Handbook §5.1). Multi-section courses have many instructors; the coordinator works with them on shared requirements, and your own section's instructor is listed in AlkimiHub.
Meeting with faculty
At least 3 hours per week during the semester, across at least 2 days, with at least 1 hour available virtually. Times are on each course syllabus in Canvas.