Chris Watkins

Chris Watkins is Professor of Machine Learning at the Department of Computer Science at Royal Holloway, University of London. His research spans reinforcement learning, evolutionary algorithms, kernel methods in machine learning, epidemiological modeling, and financial mathematics.

Key research contributions include:

• Invention of Q-learning in the 1980s
• Formal equivalence between evolutionary processes and Bayesian inference
• Pioneering work on string kernels for non-vectorial data

His recent publications focus on evolutionary models satisfying detailed balance (2023), metastability in genetic systems (2022), and error-correcting codes in evolutionary contexts. He has also contributed to understanding fitness fluctuations and genetic architecture.

Scientific recognition includes the ECML Innovative Contribution Award (2006) for work on string kernels and grammatical inference. His 1996-1999 research on portfolio optimization anticipated critical issues in financial risk estimation that resurfaced during the 2008 crisis.