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Joshua Mitts joined the faculty of Columbia Law School in 2017 as an associate professor of law and was named a professor of law in 2022. His research focuses on corporate securities law and employs advanced data science techniques. He explores topics related to informed trading, capital markets, and employs empirical methods and statistical analysis, including machine learning. His interests include research on short selling, securities lending, insider trading, and corporate disclosures, as well as the implications of cybersecurity breaches and information leakage. Mitts was awarded the Microsoft Windows Forms Coding Hero Award in high school for his work on software development. He has also introduced a course on Data Predictive Coding for Lawyers into the Law School curriculum. Mitts has taught various courses at Columbia Law and has presented at several conferences and workshops, including on the intersection of technology and capital markets. He is a member of the Center for Financial Business Analytics at Columbia University’s Data Science Institute.
Columbia Law School • New York, NY
Teaching courses and conducting research in law, with a focus on securities and corporate law.
Columbia Law School • New York, NY
Focused on empirical research and teaching in securities law.
Juris Doctor (J.D.) program. While 'Department of Law' is not a formal administrative division for admissions, this entry covers the primary J.D. program.