Scholar
Yarin Gal
Google Scholar ID: SIayDoQAAAAJ
Professor of Machine Learning, University of Oxford
Citations & Impact
Citations
49,565
H-index
73
i10-index
192
Publications
20
Co-authors
37
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published multiple papers, see his personal homepage's publications page for a detailed list; organized the Third Bayesian Deep Learning workshop (NIPS 2018).
Research Experience
- Taught machine learning at the NASA Frontier Development Lab; research interests include Bayesian deep learning, deep learning, approximate Bayesian inference, Gaussian processes, Bayesian modelling, Bayesian non-parametrics, scalable MCMC, and generative modelling. Applications span across AI safety, ML interpretability, reinforcement learning, active learning, natural language processing, computer vision, and medical analysis.
Education
- Specific educational background information not provided.
Background
- Leads the Oxford Applied and Theoretical Machine Learning Group (OATML). He is a Professor of Machine Learning at the Computer Science department, University of Oxford. Also, he serves as the Tutorial Fellow in Computer Science at Christ Church, Oxford, a Turing AI Fellow at the Alan Turing Institute, and an Expert Advisor to AISI, the UK Government’s AI Security Institute. Formerly, he was a Research Director for the Government’s Frontier AI Taskforce where he founded the Safeguards team.
Miscellany
- Teaching experience includes courses such as Advanced Machine Learning (2018-2019), Advanced Topics in Machine Learning (2021-2022), and Uncertainty in Deep Learning (2023-2024).
