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Joshua Mitts is an Associate Professor at Columbia Law School and a member of the Data Science Institute at Columbia University. He joined the faculty in 2017 and was named David J. Greenwald Professor of Law in 2022. His research focuses on corporate securities law, particularly informed trading, capital markets, and related topics in law and finance. Mitts utilizes advanced data science techniques, including empirical methods and statistical analysis, to explore various aspects of financial markets, such as short selling, securities lending, cybersecurity breaches, insider trading, and information transmission. His interest in data science began in high school, where he won the Microsoft Windows Forms Coding Hero Award for developing software on the Microsoft.NET platform. In addition to his research, he has contributed to the education of practitioners and scholars by introducing a course on Data Predictive Coding for Lawyers into the Law School curriculum. He has taught at the Columbia Law Summer Program in American Law in Amsterdam in 2019 and frequently speaks at conferences and workshops.
Department of Anthropology (GSAS)