About

I am currently a postdoctoral research associate at Los Alamos National Laboratory. Overall, I develop machine learning and statistical methods to derive scientific insights from data generated by latent spatial and temporal processes (biological and/or environmental). I always strive for reproducible experiments, well-documented software, efficient computation, and interpretable modeling.

I completed PhD in Statistics and Bachelor in Mathematics degrees at University of Washington and University of Oregon, respectively. I previously worked as a postdoctoral research fellow at University of Michigan and interned at Los Alamos National Laboratory and the Fred Hutch Cancer Research Center.

Three representative publications

• Hypothesis testing paper
• Statistical inference paper
• Statistical theory paper