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Lara Kattan is a Clinical Assistant Professor at the University of Chicago Booth School of Business, specializing in Operations Management. With a background in data science and machine learning engineering, she has particular interests in financial modeling and Bayesian financial statistics. Lara teaches courses on Python, SQL, and R, equipping students with vital skills for the industry. Prior to her role at Booth, she worked as a consultant at McKinsey and EY, where she focused on applying machine learning techniques in finance. Lara holds a Master of Public Policy with an econometrics concentration from the University of Chicago and a Bachelor of Arts in Economics and Political Science from Northwestern University. Her academic areas of expertise include Econometrics, Statistics, and Operations Management.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.