Marc Deisenroth
Scholar

Marc Deisenroth

Google Scholar ID: GDabimYAAAAJ
University College London and Google DeepMind
machine learningGaussian processesBayesian optimizationenvironment and sustainability
Citations & Impact
All-time
Citations
15,853
 
H-index
45
 
i10-index
88
 
Publications
20
 
Co-authors
190
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Program Chair of EWRL 2012, Workshops Chair of RSS 2013, EXPO Chair at ICML 2020, Tutorials Chair at NeurIPS 2021, and Program Chair at ICLR 2022
  • Elected member of the ICML Board
  • Serves on Scientific Advisory Boards of the National Oceanography Centre and the United Nations University Global AI Network
  • Paper Awards at ICRA 2014, ICCAS 2016, ICML 2020, AISTATS 2021, and FAccT 2023
  • Co-organized the Machine Learning Summer School in London in 2019
  • Recipient of The President’s Award for Outstanding Early Career Researcher at Imperial College in 2018
  • Received a Google Faculty Research Award and a Microsoft PhD Grant
  • Co-author of the book 'Mathematics for Machine Learning' published by Cambridge University Press
  • Published high-impact papers including NeurIPS 2025 work on Infinite Neural Operators and Gaussian Processes
Background
  • Google DeepMind Chair of Machine Learning and Artificial Intelligence at University College London (UCL)
  • Part of the UNESCO Chair on Artificial Intelligence at UCL
  • Visiting faculty at the University of Johannesburg
  • Co-leads the Sustainability and Machine Learning Group at UCL
  • Research interests center around data-efficient machine learning, probabilistic modeling, and autonomous decision making with applications in climate/weather science, nuclear fusion, and robotics