Scholar
Atılım Güneş Baydin
Google Scholar ID: GWBSOj4AAAAJ
University of Oxford
Citations & Impact
Citations
7,526
H-index
25
i10-index
44
Publications
20
Co-authors
182
list available
Publications
Resume (English only)
Academic Achievements
- Mar 2025: Editorial Board member of ACM Transactions on AI for Science
- Jan 2025: Co-organizing LAFI workshop at POPL 2025
- Dec 2024: Co-organizing 7th Machine Learning and the Physical Sciences workshop at NeurIPS 2024
- May 2024: Paper “Managing extreme AI risks amid rapid progress” published in Science
- May 2024: Area Chair for AISTATS 2024
- Dec 2023: Co-organizing 6th Machine Learning and the Physical Sciences workshop at NeurIPS 2023
- Oct 2023: AI risk management work featured by TIME Magazine and The Guardian front page
- Aug 2023: Appointed to Royal Society’s International Exchanges Committee
- Jun 2023: Co-organized residential program on Differentiable and Probabilistic Programming for Fundamental Physics in Munich and topical workshop at Max Planck Institute
- Jun 2023: Evaluation panel member for Helmholtz Graduate School DASHH
- Mar 2023: Area Chair for AISTATS 2023
- Dec 2022: Co-organizing 5th Machine Learning and the Physical Sciences workshop at NeurIPS 2022
- Aug 2022: Paper on synthetic solar EUV images accepted to The Astrophysical Journal
- Jun 2022: Invited talk at Collège de France
- Feb 2022: Invited talk at NSF AI Planning Institute, Carnegie Mellon University
- Jan 2022: Papers accepted at AISTATS and ICLR
- Dec 2021: Invited talk at Bayesian Deep Learning workshop; co-organized 4th Machine Learning and the Physical Sciences workshop at NeurIPS
Research Experience
- Departmental Lecturer in Machine Learning at University of Oxford, leading Oxford AI for Science Lab
- Postdoc with Frank Wood on probabilistic programming
- Postdoc with Barak Pearlmutter at National University of Ireland Maynooth, specializing in automatic differentiation in higher-order functional languages
- Former research consultant for Microsoft Research Cambridge
- Faculty and AI Technical Committee member for NASA and ESA Frontier Development Lab
Background
- Departmental Lecturer (Assistant Professor) in Machine Learning at the Department of Computer Science, University of Oxford
- Lecturer in Computer Science at Jesus College, University of Oxford
- Leads the Oxford AI for Science Lab
- Research focuses on probabilistic machine learning, generative modeling, probabilistic programming, deep learning, and simulation-based inference
- Affiliated with the Torr Vision Group (TVG), Oxford Applied and Theoretical Machine Learning Group (OATML)
- Member of the European Lab for Learning and Intelligent Systems (ELLIS) Oxford Unit
- Former research consultant for Microsoft Research Cambridge
- Involved in NASA and ESA Frontier Development Lab programs as faculty and AI Technical Committee member
