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 (used in BERT, GPT, ViT, etc.), 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, 2020, 2021 and an Adversarial Machine Learning workshop at ICML 2021.
- I have reviewed for CVPR (2019, 2020), ICLR (2019, 2020), NeurIPS (2017, 2020), ICML (2018, 2019), ICCV (2019), ECCV (2018), IJCV, TPAMI, and JMLR.