Principal Investigators
Patrick McDaniel is the William L. Weiss Professor of Information and Communications Technology and Director of the Institute for Networking and Security Research in the School of Electrical Engineering and Computer Science at the Pennsylvania State University. Professor McDaniel is also a Fellow of the IEEE and ACM and the director of the NSF Frontier Center for Trustworthy Machine Learning. He also served as the program manager and lead scientist for the Army Research Laboratory’s Cyber-Security Collaborative Research Alliance from 2013 to 2018. Patrick’s research centrally focuses on a wide range of topics in computer and network security and technical public policy. Prior to joining Penn State in 2004, he was a senior research staff member at AT&T Labs-Research.
Professor Boneh heads the applied cryptography group and co-direct the computer security lab. Professor Boneh’s research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997.
Dr. Chaudhuri received a Bachelor’s of Technology degree in Computer Science and Engineering in 2002 from the Indian Institute of Technology, Kanpur, and a PhD in Computer Science from UC Berkeley in 2007. After a stint as a postdoctoral researcher at the Information Theory and Applications Center at UC San Diego, she joined the CSE department at UCSD as an assistant professor in 2010. She is a recipient of the NSF CAREER Award in 2013, and a Hellman Faculty Fellowship in 2012. Chaudhuri’s research is on the design and analysis of machine-learning algorithms and their applications. In particular, her interests lie in clustering, online learning, and privacy-preserving machine-learning, and applications of machine-learning and algorithms to practical problems in other areas.
David Evans is a Professor of Computer Science at the University of Virginia and leader of the Security Research Group. He is the author of an open computer science textbook (http://www.computingbook.org) and a children’s book on combinatorics and computability (http://www.dori-mic.org). He won the Outstanding Faculty Award from the State Council of Higher Education for Virginia, and was Program Co-Chair for the 24th ACM Conference on Computer and Communications Security (CCS 2017) and the 30th (2009) and 31st (2010) IEEE Symposia on Security and Privacy. He has SB, SM and PhD degrees in Computer Science from MIT and has been a faculty member at the University of Virginia since 1999.
Dr. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His research focuses on methods for learning richly-structured statistical models from limited supervision, most recently in the context of semantic parsing in natural language processing. He won a best student paper at the International Conference on Machine Learning in 2008, received the NSF, GAANN, and NDSEG fellowships, and is also a 2010 Siebel Scholar.
Jacob Steinhardt is an assistant professor of Statistics at UC Berkeley. He received his Ph.D. in Computer Science in 2018, advised by Percy Liang. His research goals are to make the conceptual advances necessary for machine learning systems to be reliable and aligned with human values. He is a Hertz fellow and an advisor for the Open Philanthropy Project.
Amy Hasan, Research Manager for the Center for Trustworthy Machine Learning