Welcome to my homepage!
About me
Hi! I am a Research Scientist at Meta working on LLMs for recommendation systems. I hold a PhD in Statistics from Stanford University, where I was advised by Professor Guido Imbens and Professor Johan Ugander.
My doctoral research focused on causal inference, specifically causal inference with interference and online experimentation (A/B testing). Recently, I have expanded my interests to include LLM agents and reasoning models. Prior to Stanford, I completed my undergraduate studies at the University of Michigan in 2018, obtaining B.S. degrees with Honors in Mathematics and Statistics, and a minor in Computer Science.
My dissertation addresses testing, estimation, and inference problems for causal inference with interference. Individual chapters can be found on the Publications page.
Research interests
- Causal inference
- Online experimentation
- LLM agents
- Reasoning models
- Machine learning for biology
Contact
Email: kevinwh@alumni.stanford.edu
