Game Theory; Data Privacy; Learning in Games
Katrina Ligett works at the intersection of computer science and economics, developing mathematical and computational approaches to fundamental problems in algorithmic game theory and data privacy. She studies issues related to incentives and competition in complex settings, including networked environments—for example, when there is conflict or tension between an individual's goals and a global objective. With regard to data privacy, her research establishes a formal basis for reasoning about the tension between making use of data and the desire to ensure privacy. At Caltech, she is involved with the Center for the Mathematics of Information (CMI), the Social and Information Sciences Lab (SISL), and the Rigorous Systems Research Group (RSRG).
Prior to her time at Caltech, Ligett was a postdoctoral fellow at Cornell University from 2009 to 2011. She received a National Science Foundation (NSF) CAREER award (2013–2018), a Microsoft Research Faculty Fellowship (2013–2015), an NSF Mathematical Sciences Postdoctoral Research Fellowship (2010–2012), an NSF Computing Innovation (CIFellows) Fellowship (2009–2010), an NSF Graduate Research Fellowship (2007–2009), and an AT&T Labs Graduate Research Fellowship (2004–2007).