Bio
Professor Rahul Savani is a Professor of Computer Science at the University of Liverpool and is currently partially seconded to the Alan Turing Institute as the Theme lead on Automated Analysis of Strategic Interactions. Rahul holds a PhD in Mathematics from the London School of Economics. After obtaining his PhD in 2006, he spent 3 years at the University of Warwick funded by a personal EPSRC Postdoctoral Fellowship in Theoretical Computer Science. Since 2009, he has been at the University of Liverpool, where he is a member of the Economics and Computation Research Group.
Research interests
Professor Savani works on problems at the interface of game theory/economics/finance and computer science. He has worked extensively on equilibrium computation for game-theoretic models of strategic interaction, recently focusing also on multi-agent reinforcement learning. A current focus of his research is the combination of simulation with AI and Game Theory. He is also interested in automated trading, and, in addition to his academic research on this topic, has also worked as a consultant on a variety of commercial projects in this area.
Achievements and awards
In 2021, his work was recognised with Best Paper Awards at the ACM Symposium on Theory of Computing (STOC) and the Adaptive and Learning Agents Workshop (ALA) at AAMAS.