Welcome to my page! I’m a senior research scientist at Google in New York. My research is broadly on deep learning and statistical learning. I currently lead an effort on efficiently predicting data value in foundation models (with applications to Gemini and Gemma) and research fundamental techniques for model compression. I’ve also been managing Google-sponsored research collaborations with universities for the past three years.
My research has been recognized with best paper awards and honorable mentions from INFORMS ICS (2023), KDD (2022), INFORMS IOS (2020), INFORMS ICS (2020), MIT (2020), MIP Workshop (2019).
I completed my PhD at MIT where I was advised by Rahul Mazumder and worked on scalable algorithms for sparse learning. Before that, I did my masters at UIUC where I worked with ChengXiang Zhai on improving information recall in search engines.