About me

I am a PhD candidate at UC Berkeley in the Graduate Group in Computational Biology advised by Rasmus Nielsen of the Depts. of Integrative Biology and Statistics. I also work with Noah Zaitlen at the UCLA David Geffen School of Medicine.

I’m interested in how genetics relate to variation and evolution of complex traits; in particular, how adaptation and natural selection have shaped who we are today (i.e., modern human phenotypic and genetic variation). My work draws on a combination of population and statistical genetics, and is broadly focused on using DNA sequence data and/or GWAS to build methods to study adaptation and complex trait evolution.

Some of my specific research interests are:

  • Detecting natural selection, from alleles to complex traits
  • Disentangling selection on pleiotropically-related traits
  • The role of ancestry in heritable trait variation
  • Stratification in GWAS, and its implications for downstream analysis (e.g. tests for selection)

Background

In 2015 I graduated from Northwestern University, where I did my undergraduate studies with Adam Hockenberry and Luís Amaral at the Northwestern Institute for Complex Systems. From 2017-2018 I was a Computational Biology Fellow at AncestryDNA, where I worked with Shiya Song and Dan Garrigan, where I developed statistical models for inferring genealogical relationships from genetic data, and studied the recent demographic history of humans in North America.

Outside of work, I enjoy hiking (especially the Sierras), playing/following basketball/the NBA, cooking, and watching The Sopranos.