I am an Assistant Professor in the Department of Pathology & Laboratory Medicine since Fall 2020. My research primarily focuses on developing scalable probabilistic inference methods to elucidate hidden causal mechanisms of human diseases, such as cancer and other common/complex disorders. Since I am a data-driven scientist, I become excited when hidden patterns emerge, and data finally start speaking back to me. I firmly believe in Don Knuth’s famous quote, “best practice is inspired by theory,” and “best theory is inspired by practice.”
Academic background
Google Scholar: https://scholar.google.com/citations?user=6Lr0JuYAAAAJ&hl=en
Research Interest
We are interested in solving biological problems with data and computation. We usually work in BC Cancer Research Centre, or some places where we can open a terminal. We love high-dimensional, large-volume biological data. If you give us data, we would love to understand the mechanisms of the data-generating process. If you give us a cool hypothesis, we will be excited to test the causality using data. We also love pretty scientific figures with a healthy dose of obsession. Please contact me for more information.
Research interest:
- Bayesian statistics
- Causal inference
- Computational Biology
- Network science
- Single-cell genomics