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Lillian J. Ratliff

Postdoctoral Researcher, EECS at UC Berkeley
(ratliffl at eecs.berkeley)

Interests: Game Theory, Learning & Optimization

Ph.D. Electrical Engineering and Computer Sciences, 2015 UC Berkeley
Advisor: Shankar Sastry
M.S. Electrical Engineering, 2010 UNLV
B.S. Electrical Engineering, 2008 UNLV
B.S. Mathematics, 2008 UNLV

Lillian Ratliff is a Postdoctoral Researcher in Electrical Engineering and Computer Sciences at UC Berkeley. Her research interests lie at the intersection of game theory, optimization, and statistical learning. She applies tools from these domains to address inefficiencies and vulnerabilities in next-generation urban infrastructure systems (societal-scale cyber-physical systems). In particular, she uses game theory to model the incentive structure (players and their motivations) of the emerging data market in smart, connected infrastructure and develops learning and optimization schemes to address inefficiencies that arise in this market due to asymmetric information between the strategic market participants who are modeled both as resource consumers and providers. She is the recipient of a National Science Foundation Graduate Research Fellowship and will be an Assistant Professor in Electrical Engineering at the University of Washington starting Fall, 2016.