I am an Associate Professor at the Computer Science Department at Stanford University. I received my Ph.D. degree from California Institute of Technology, and a B.S. in Physics from Princeton University.

I am currently the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab, where I work with the most brilliant students and colleagues worldwide to build smart algorithms that enable computers and robots to see and think, as well as to conduct cognitive and neuroimaging experiments to discover how brains see and think.

I am an assistant professor at Stanford University. From 2011–2014, I did my Ph.D. at MIT, advised by Hari Balakrishnan. Previously, I spent a year at Ksplice, Inc., a startup company (now part of Oracle Corp.) where I was the vice president of product management and business development and also cleaned the bathroom. Before that, I worked for three years as a staff reporter at The Wall Street Journal, covering health care, medicine, science and technology. I did my undergraduate work at MIT, where I received a B.S. (2004) and M.Eng. (2005) in electrical engineering and computer science. I also received an E.E. degree in 2014.

Jeff Hancock is the Harry and Norman Chandler Professor of Communication at Stanford University, Founding Director of the Stanford Social Media Lab, and co-director of the Stanford Cyber Policy Center. He is also a senior fellow at the Freeman Spogli Institute (FSI). A leading expert in social media behavior and the psychology of online interaction, Professor Hancock studies the impact of social media and AI technology on social cognition, well-being, deception and trust, and how we use and understand language. Recently Professor Hancock has begun work on understanding the mental models people have about algorithms in social media, as well as working on the ethical issues associated with computational social science. He is also Founding Editor of the Journal of Online Trust & Safety.

His award-winning research has been published in over 100 journal articles and conference proceedings and has been supported by funding from the U.S. National Science Foundation and the U.S. Department of Defense. Professor Hancock’s TED Talk on deception has been seen over 1 million times and his research has been frequently featured in the popular press, including the New York Times, CNN, NPR, CBS and the BBC.

Professor Hancock worked for Canada Customs before earning his PhD in Psychology at Dalhousie University, Canada. He was a Professor of Information Science (and co-Chair) and Communication at Cornell University prior to joining Stanford in 2015. He currently lives in Palo Alto with his wife and daughter, and he regularly gets shot at on the ice as a hockey goalie.

Melissa Valentine is an Assistant Professor at Stanford University in the Management Science and Engineering Department, and co-director of the Center for Work, Technology, and Organization (WTO). WTO is a world leader in producing field research (i.e., research that uses actual observation of social phenomena) to develop new understanding about the changing nature of work.

Prof Valentine's research focus is on understanding work groups and teams in organizations, particularly how they are changing in response to new industry trends and new technologies. She conducts in-depth observational studies to develop new understanding about new forms of work groups and teams. Her work makes contributions to understanding classic and longstanding challenges in designing groups and organizations (e.g., the role of hierarchy, how to implement change, team stability vs. flexibility) but also brings in deep knowledge of how the rise of information technology has made possible new and different team and organizational forms. Her research agenda is organized around two main themes: 1) temporary teams and organizations and 2) groups and teams in complex work organizations.

Prof. Valentine has won awards for both research and teaching. With her collaborators, she won a Best Paper Award at the CHI Conference on Human Factors in Computing Systems and the Outstanding Paper with Practical Implications award from the Organizational Behavior division of the Academy of Management. In 2013, she won the Organization Science/INFORMS dissertation proposal competition and received her PhD from Harvard University.

Ramesh Johari is an Associate Professor at Stanford University, with a full-time appointment in the Department of Management Science and Engineering (MS&E), and courtesy appointments in the Departments of Computer Science (CS) and Electrical Engineering (EE). He is a member of the Operations Research group and the Social Algorithms Lab (SOAL) in MS&E, the Information Systems Laboratory in EE, the Institute for Computational and Mathematical Engineering, the steering committee of the Stanford Cyber Initiative, and the Stanford Bits and Watts Initiative. He received an A.B. in Mathematics from Harvard, a Certificate of Advanced Study in Mathematics from Cambridge, and a Ph.D. in Electrical Engineering and Computer Science from MIT.

Michael Bernstein is an Assistant Professor of Computer Science at Stanford University, where he is a member of the Human-Computer Interaction group. His research focuses on the design of crowdsourcing and social computing systems. This work has received seven Best Paper awards and fourteen honorable mentions at premier venues in human-computer interaction. Michael has been recognized as a Robert N. Noyce Family Faculty Scholar, and has received an NSF CAREER award, Alfred P. Sloan Fellowship, and Outstanding Academic Title citation from the American Library Association. He holds a bachelor's degree in Symbolic Systems from Stanford University, and a master's and Ph.D. in Computer Science from MIT.

Dr. Stephen Zoepf is the Executive Director of the Center for Automotive Research at Stanford. He holds a Ph.D., M.Sc. and B.Sc. from MIT. His interests are in future mobility, shared vehicle systems, transportation energy usage and policy. He has eight years of experience in the automotive industry as an engineer and product manager at BMW and Ford, and previously led U.S. Department of Transportation efforts to integrate confidential data submissions efforts into national vehicle energy policy modeling efforts. He was an ENI Energy Initiative Fellow and a Martin Energy Fellow at MIT and a recipient of the Barry McNutt award from the Energy and Alternative Fuels Committees of the Transportation Research Board. He also won the Singapore Global Challenge, Global Young Scientists Summit@one-north in 2013 and was a recipient of MIT's Infinite Mile Award for Outstanding Service to the Institute.

Chuck Eesley is an Associate Professor and W.M. Keck Foundation Faculty Scholar in the Department of Management Science and Engineering at Stanford University. As part of the Stanford Technology Ventures Program, his research focuses on the role of the institutional and university environment in high-growth, technology entrepreneurship. Prof. Eesley was selected in 2015 as an Inaugural Schulze Distinguished Professor. His National Science Foundation of China and Kauffman award supported research focuses on rethinking how the educational and policy environment shapes the economic and entrepreneurial impact of university alumni. Over the past three years, Prof. Eesley has been playing a growing role in national and international meetings on fostering high-tech entrepreneurship, including advising the U.S. State Department in the Global Innovation through Science and Technology (GIST) program, Chile (CORFO), Taiwan (ITRI), and the Korean Ministry of Science and Technology. He is a member of the Editorial Board for the Strategic Management Journal. Before coming to Stanford, Prof. Eesley completed his Ph.D. at the M.I.T. Sloan School of Management in 2009 where he won BPS Division and Kauffman Dissertation Awards for his work on high-tech entrepreneurship in China.

He started his first company while earning a Bachelor's degree from Duke University in 2002 (Biological Basis of Behavior). Prof. Eesley spent 2002-2005 doing research at the Duke University Medical Center (schizophrenia) and Duke’s Center for Health Policy (vaccine innovation). His work has been published among other places in Organization Science, Strategic Management Journal, Research Policy, and Biological Psychiatry. Prof. Eesley previously was an entrepreneur (Lobby 10, Sun Dance Genetics, Learning Friends), early employee (NovoEd.com), board member/advisor (Blackbird - acquired by Etsy, LessonFace.com), and investor (Flagship Ventures, Lux Capital). NovoEd.com launched around his online course, which was the first entrepreneurship MOOC and has taught over 200,000 students in over 100 countries. He currently serves as an independent board director on public as well as private companies in online education and AI/Deep Learning. He has given invited talks in forums with the Prime Minister of Slovenia and keynote addresses in Taiwan, China, and Brazil. His research findings have been featured in outlets such as Forbes (2011, 2012, 2013, 2015), Bloomberg, Smart Money, Stanford News, 2012, 2016, Wall Street Journal, SFGate, The Independent, Boston.com (Bill Gates), Inc. magazine, and the Chronicle of Higher Education.

Paul Oyer studies the economics of organizations and human resource practices. His recent work has looked at the use of broad-based stock option plans, how firms use non-cash benefits, and how firms respond to limits on their ability to displace workers. Oyer's currect projects include studies of how labor market conditions affect their entire careers when MBAs and PhD economists leave school, how firms identifiy and recruit workers in high-skill and competitive labor markets (with a focus on the markets for software engineers and newly minted lawyers), and, of most importance to his colleagues, how universities price and allocate parking spaces.

Paul Oyer is The Fred H. Merrill Professor of Economics at the Stanford Graduate School of Business. He is also a Research Associate with the National Bureau of Economics and the Editor-in-Chief of the Journal of Labor Economics.

Paul does research in the field of personnel economics. He has done several studies of how firms pay and provide incentives for their workers. He looked at how salespeople and executives react to incentive systems and why some firms use broad-based stock option programs. He has also done work on how firms have adjusted their human resource practices to increases in legal barriers to dismissing workers. Paul has recently studied how random events early in a person's career can have long-term ramifications. This work focuses on MBAs (especially investment bankers) and on PhD economists. Paul's current projects include papers focusing on how firms select and recruit workers, including new MBAs and lawyers.

Before moving to the GSB in 2000, Paul was on the faculty of the Kellogg School at Northwestern University. In his pre-academic life, he worked for the management consulting firm of Booz, Allen and Hamiliton, as well as for the high technology firms 3Com Corporation and ASK Computer Systems. He hold a BA in math and computer science from Middlebury College, an MBA from Yale University, and an MA and PhD in economics from Princeton University. When not teaching or doing research, Paul tries to keep up with his two teenage children. He runs, swims, skis, plays a mean game of ping-pong, and keeps tabs on the Oakland A's.