I started my Ph.D. in 2017 and previously received my B.S. in Statistics at Carnegie Mellon in 2015. My research focuses on developing statistical methodology oriented towards applications in genetics and genomics, with specific interests in selective inference and clustering. I am advised by Professors Kathryn Roeder and Max G’Sell.
Areas of Research
- Clustering & Unsupervised Methods
- High-Dimensional Statistics
- Nonparametric Methods
- Statistical Machine Learning