Balaji Lakshminarayanan is a staff research scientist at Google Brain. His recent research is focused on probabilistic deep learning, specifically, uncertainty estimation, out-of-distribution robustness and deep generative models (see http://www.gatsby.ucl.ac.uk/~balaji/ for more info). Prior to joining Google Brain, he was a research scientist at DeepMind. He received his PhD from the Gatsby Unit, University College London where he worked with Yee Whye Teh. He has co-organized several workshops on "Uncertainty and Robustness in Deep Learning" and served as Area Chair for NeurIPS, ICML, ICLR and AISTATS.