Dan Hendrycks

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I am a second-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. Last summer I interned at DeepMind. My contributions include the GELU activation function, the out-of-distribution detection baseline, and distribution shift benchmarks.

hendrycks ατ berkeley.edu
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I co-organized the Workshop on Robustness and Uncertainty Estimation in Deep Learning at ICML 2019 and 2020.
I have reviewed for NIPS 2017, ICML 2018, ECCV 2018, ICLR 2019, CVPR 2019, ICML 2019, ICCV 2019, CVPR 2020, NeurIPS 2020, IJCV, TPAMI.