About

Hello! I’m currently a quantitiative scientist at Flatiron Health in New York, where I work on statistical methods for EHR data to support oncology research.

I completed my PhD in the Department of Biostatistics at the University of Washington, where I worked with Ali Shojaie on causal inference and machine learning methods for analyzing network-structured data. Before starting my PhD, I graduated with a BMath from the University of Waterloo. I am proudly Canadian, and was born and raised in Mississauga, a suburb of Toronto, ON.

In my spare time, I like to read fiction, watch extreme amounts of TV, listen to podcasts, and avoid the outdoors as much as possible (sometimes I’ll go running). When time and money allow, I also love to travel, and spend an unhealthy amount of time searching for cheap flights and churning for credit card rewards.

Preprints

  • David Arbour, Drew Dimmery, and Arjun Sondhi (2020+). “Permutation Weighting”. Under review. [arxiv]
  • Arjun Sondhi and Ali Shojaie (2020+). “Two-way network penalized regression with applications to metabolomics profiling data”. Under review.
  • Jean Feng, Arjun Sondhi, Jessica Perry, and Noah Simon (2020+). “Selective prediction-set models with coverage guarantees”. Under review. [arxiv]

Publications