I’m a PhD student in Statistics at Carnegie Mellon University where I am lucky to be advised by Aaditya Ramdas. My research is supported by an Amazon Graduate Research Fellowship.

Previously, I was an intern at Microsoft Research, Adobe Research, and SickKids. Before that, I studied math at the University of Waterloo in Canada.

I am broadly interested in statistical methods that make realistic nonparametric assumptions about data, often in adaptive, sequential settings. More specifically, I focus on

Selected papers

(Full list on google scholar.)


Below are some software packages that I maintain.

Methods that I have developed have also appeared in some other open-source projects (by people that write much better code than me) such as Microsoft’s VowpalWabbit (see this commit) or GrowthBook’s sequential testing implementation (see this commit or the docs) but I have not contributed to them directly.