I study problems at the intersections of human genetics, statistical inference, quantitative psychology, and applied mathematics. My primary research interests include:

  1. Polygenic estimators under nonrandom mating and other forms of population structure.

  2. Efficient and flexible numerical methods for the analysis and simulation of genome-wide data.

  3. Metascience, model misspecification, falsifiability, and the identification of spurious findings.

My research is supervised by Noah Zaitlen in the UCLA David Geffen School of Medicine Neurology Department and Sriram Sankararaman in the UCLA Computer Science Department. I also work with the Price Lab at the Harvard T. H. Chan School of Public Health Department of Epidemiology, which I joined as a visiting scientist in 2021.


Peer-reviewed publications



Honors and awards


Dissertation and master’s thesis

Peer review

I have served as a special topic guest editor for Frontiers in Genetics. Additionally, I have refereed for the following journals / conferences:

Teaching positions