Welcome to my page! I’m a researcher at OpenAI, where I lead data quality and manage a team working on data research. Before that, I was a research scientist at Google, where I led an effort on data value and contributed to Gemma and Gemini. I did my PhD at MIT, working on model compression and combinatorial optimization.
See my Google Scholar profile
Honorable Mention – INFORMS ICS Prize (2023). Link.
Received for a body of work on sparse learning.
Best Student Paper Award – SIGKDD (2022). Link.
Received as an advisor to the student first author
Paper: Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
Young Researchers Prize – INFORMS Optimization Society (2020). Citation. Link.
Received “for an outstanding paper in optimization”.
Paper: Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
Best Paper Award – MIT Operations Research Center (2020).
Paper: Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
Honorable Mention – INFORMS Computing Society (2020). Link.
Honorable Mention – Mixed Integer Programming Workshop (2019).
hh at ieee dot org