Michael Klausner teaches and writes in the areas of corporate law, corporate governance, business transactions and financial regulation. His research has included theoretical and empirical analyses of corporate governance, liability risk for corporate officers and directors, securities litigation, takeover defenses, standardization of contracts, and the economics underlying business transactions. He oversees Stanford Securities Litigation Analytics, which maintains a large database covering securities class actions and SEC enforcement actions, and he is currently writing a book entitled Deals:  The Economic Structure of Business Transactions.”

Before joining the Stanford Law School faculty in 1997, he was a professor of law at New York University School of Law, a White House Fellow and deputy associate director in the Office of Policy Development in the White House, and a corporate law practitioner with Gibson, Dunn & Crutcher in Washington, D.C. and Hong Kong. He clerked for Justice William Brennan of the U.S. Supreme Court and Judge David Bazelon of the U.S. Court of Appeals for the District of Columbia Circuit.

Yonatan Gur is an Assistant Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business. Prior to joining Stanford in 2014 he received his PhD in Decision, Risk, and Operations from Columbia Business School. He also holds a B.Sc. degree from the School of Physics and Astronomy and an M.Sc. from the School of Mathematical Sciences, Tel Aviv University.

Kostas Bimpikis is an Associate Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business. Prior to joining Stanford, he spent a year as a postdoctoral research fellow at the Microsoft Research New England Lab. Professor Bimpikis has received a PhD in Operations Research from the Massachusetts Institute of Technology in 2010, an MS in Computer Science from the University of California, San Diego and a BS degree in Electrical and Computer Engineering from the National Technical University of Athens, Greece.

Bahman did his PhD at Stanford University, supported by William R. Hewlett Stanford Graduate Fellowship, and focused on the topic of algorithms for big data applications, in which he is a well-published author in some of the best conferences and journals, including PVLDB, SIGMOD, WWW, and KDD. He was the last PhD student of the legendary late Rajeev Motwani, and has been also advised and co-advised by Ashish Goel and Prabhakar Raghavan (formerly Yahoo VP of Strategy, currently Google VP of Engineering). His industry experience during his PhD studies spans several internships and collaborations with some of the best researchers and practitioners from Twitter, Microsoft Research, Yahoo Research, AOL, and Google. He is a recipient of the Yahoo Key Scientific Challenges Award for his contributions to the area of search technologies.

Russell Alan (Russ) Poldrack (born 1967) is an American psychologist and neuroscientist. He is a professor of Psychology at Stanford University, member of the Stanford Neuroscience Institute and director of the Stanford Center for Reproducible Neuroscience. Poldrack received his bachelor's degree in Psychology from Baylor University in 1989, and his PhD in experimental psychology from the University of Illinois at Urbana-Champaign in 1995, working with Neal J. Cohen. From 1995 to 1999, he was a postdoctoral fellow at Stanford University, working with John Gabrieli. Prior to his appointment at Stanford in 2014, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.

My research interests are in developing novel statistical methods to evaluate and design effective public policy in the areas of cyber security and criminal justice.

Hello! I’m an assistant professor at Stanford in the Department of Management Science & Engineering (in the School of Engineering). I also have courtesy appointments in Sociology and Computer Science.

My primary area of research is computational social science, an emerging discipline at the intersection of computer science, statistics, and the social sciences. I’m particularly interested in applying modern computational and statistical techniques to understand and improve public policy. Some topics I’ve recently worked on are: stop-and-frisk, tests for racial bias, algorithmic fairness, swing voting, voter fraud, filter bubbles, and online privacy. I also helped start the Stanford Open Policing Project, a repository of data on over 100 million traffic stops across the United States.

I studied at the University of Chicago (B.S. in mathematics) and at Cornell (M.S. in computer science; Ph.D. in applied mathematics). Before joining the Stanford faculty, I worked at Microsoft Research in New York City.