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

  1. Nonrandom mating and other forms of population structure, particularly how they impact inference about genetic architecture

  2. Scalable Bayesian inference and other methods for the efficient and flexible analysis and simulation of genome-wide data.

  3. Metascience, measurement, model misspecification, and sensitivity analysis.

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.

Peer-reviewed publications

Software

Presentations

Honors and awards

Education

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