I'm currently finishing a CANSSI postdoctoral fellowship and will be working as a postdoc this fall at UC Berkeley. In 2024 I received my PhD from the Department of Statistics at Berkeley, where I was advised by Philip B. Stark. Before that, I worked as a research assistant in the Department of Health Care Policy at Harvard Medical School with Sharon-Lise Normand. I graduated from Bowdoin College in 2015 with a BA in Mathematics. 

I've engaged deeply with applications in:

• Health science and policy

• Risk-limiting post-election audits

• Soil organic carbon measurement

• Transportation and infrastructure planning

I'm inspired by active collaboration with subject-matter experts, creative synthesis of diverse ideas, and rigorous problem solving to make a postive impact on our world. 

My technical research interests have orbited around:

• Sequential analysis

• Causal inference

• Nonparametrics

• Policy evaluation and optimization

• Bayesian modeling

I'm also fascinated by questions in the history and philosophy of statistics, science, and knowledge. I'm particularly interested in understanding when and how algorithms can help in the care of people or land.