I am a third-year PhD student in computer science at UC Berkeley where I am advised by Dawn Song and Jacob Steinhardt. I am interested in safe and trustworthy machine learning. In 2018 I received my BS from UChicago. My research is supported by the NSF GRFP and the Open Philanthropy AI Fellowship. My contributions include the GELU activation function (the most used activation in new papers), the out-of-distribution detection baseline, and distribution shift benchmarks.
Works
Service
- I co-organized the Workshop on Robustness and Uncertainty Estimation in Deep Learning at ICML 2019 and 2020.
- I have reviewed for CVPR (2019, 2020), ICLR (2019, 2020), NeurIPS (2017, 2020), ICML (2018, 2019), ICCV (2019), ECCV (2018), IJCV, TPAMI, and JMLR.