José Miguel Hernández-Lobato
Scholar

José Miguel Hernández-Lobato

Google Scholar ID: BEBccCQAAAAJ
Professor of Machine Learning, University of Cambridge
Bayesian deep learningapproximate inferencedeep generative modelingautomatic molecular designreinforcement learning
Citations & Impact
All-time
Citations
15,912
 
H-index
54
 
i10-index
126
 
Publications
20
 
Co-authors
120
list available
Contact
Resume (English only)
Research Experience
  • Full Professor of Machine Learning, Department of Engineering, University of Cambridge, UK (Oct 2025–present)
  • Head of Research, Boltzbit Limited (Sep 2025–present)
  • Chief AI Officer, Angstrom AI (Nov 2024–present)
  • Director, Cambridge ELLIS Unit, University of Cambridge, UK (Sep 2020–present)
  • Faculty member, Cambridge Center for AI in Medicine, UK (Dec 2020–present)
  • Professor of Machine Learning, University of Cambridge (Oct 2022–Sep 2025)
  • Associate Professor in Machine Learning, University of Cambridge (Oct 2021–Oct 2022)
  • University Lecturer in Machine Learning, University of Cambridge (Sep 2016–Oct 2021)
  • Visiting Researcher, Microsoft Research Cambridge (May 2018–Oct 2020)
  • Postdoctoral Fellow, Harvard Intelligent Probabilistic Systems group, Harvard University, advised by Prof. Ryan Adams (Sep 2014–Aug 2016)
  • Postdoctoral Researcher, Machine Learning Group, University of Cambridge, advised by Prof. Zoubin Ghahramani (Jun 2011–Aug 2014)
  • Research Associate, Wolfson College, Cambridge (Oct 2013–Aug 2014)
  • Teaching Assistant, Computer Science Department, Universidad Autónoma de Madrid (Dec 2010–May 2011)