Maneesh Sahani

Maneesh Sahani is a Professor of Theoretical Neuroscience and Machine Learning at the Gatsby Computational Neuroscience Unit of University College London (UCL). With a PhD in Computation and Neural Systems from Caltech (1999) and BS in Physics (1993), his research bridges computational neuroscience and machine learning.

• Academic Appointments:
  • Director, Gatsby Computational Neuroscience Unit (2017–present)
  • Professor (2013–present)
  • Reader (2009–2013)
  • Lecturer (2004–2009)
  • Visiting Professor at Stanford (2013–2014)
• Research Interests:
  • Theoretical neuroscience: statistical inference in perception
  • Machine learning: probabilistic models
  • Neural coding and dynamics
  • Perceptual learning and uncertainty
  • Population spiking activity analysis
  • Neural network modeling
• Scientific Awards:
  • Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS), 2021
• Service & Leadership:
  • Co-founder, Neural Coding, Computation and Dynamics meeting (2007, 2015, 2017)
  • Selection Committee, Swartz Prize (2014–2016)
  • General Chair, Computational and Systems Neuroscience Conference (COSYNE) (2010)
  • Programme Chair, COSYNE (2009)
  • Workshops Chair, NeurIPS (2008)
  • Member, Board of Directors, Computational Neuroscience Organization (2003–2006)
  • Workshops Chair, Computational Neuroscience Meeting (1999–2003)
• Collaborations:
  • Stanford University (Visiting Professor 2013–14)
  • University of California, San Francisco (Postdoctoral Fellowship 2002–2004)
  • Caltech (Alumnus)