Bio
Dr Yingzhen Li is a Senior Lecturer in Machine Learning at Imperial College London, UK. Before that she worked at Microsoft Research Cambridge and Disney Research. She received her PhD from the University of Cambridge. Yingzhen is passionate about building reliable machine learning systems with probabilistic methods, and her published work has been applied in industrial systems and implemented in popular deep learning frameworks. She is a regularly invited speaker at international machine learning conferences and machine learning summer schools, and she gave an invited tutorial on approximate inference at NeurIPS 2020. Her work on Bayesian ML has also been recognised in AAAI 2023 New Faculty Highlights. She has co-organised many international research workshops on probabilistic inference and deep generative models. She regularly serves as Area Chair for ICML, ICLR and NeurIPS, and she is a Program Chair for AISTATS 2024. When not at work, Yingzhen enjoys reading, hiking, video games, and following news on latest technology developments.