Areas of Interest
Statistics, machine learning, graphical models, data integration, high-dimensional statistics, variable selection
Research
I am interested in developing novel statistical machine learning methods to help scientists make data-driven discoveries from large-scale and complex data. My research interests include causal discovery, graphical models, data integration, high-dimensional statistics, and variable selection. My methodological research is driven by the goal of solving real-world problems, including biomedical and neuroscience applications.
Office Hours
| M |
1:15 - 2:15 |
| W |
2:00 - 3:00 |
| F |
11:05 - 11:55 |
Courses
Fall 2026
| Course |
Section |
Title |
Schedule |
Room |
| Math 445 |
01 |
Principles of Data Science with R |
MWF 8:30–9:30
|
LN-2403
|
| Math 448 |
02 |
Mathematical Statistics |
MWF 9:45–10:45
|
CW-108
|
| Math 545 |
01 |
Principles of Data Science with R |
MWF 8:30–9:30
|
LN-2403
|
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