I am a fourth-year PhD student in computer science at UC Berkeley where I am advised by Dawn Song and Jacob Steinhardt. I am interested in machine learning safety. In 2018 I received my BS from UChicago. My research is supported by the NSF GRFP and the Open Philanthropy AI Fellowship. I helped contribute the GELU activation function (the most-used activation in state-of-the-art models including BERT, GPT, Vision Transformers, 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; an Adversarial Machine Learning workshop at ICML 2021; and the VISDA domain adaptation competition at NeurIPS 2021.
- I have reviewed for CVPR (2019, 2020), ICLR (2019, 2020), NeurIPS (2017, 2020), ICML (2018, 2019), ICCV (2019), ECCV (2018), Transactions on Affective Computing, AI and Ethics, IJCV, TPAMI, and JMLR.