Ashesh rambachan. Artificial Intelligence. arnin...

  • Ashesh rambachan. Artificial Intelligence. arning. Diversity & Non-Discrimination Accessibility Help © 2026 The Trustees of Princeton University 1 Last updated: January 2025 ASHESH RAMBACHAN Email: asheshr@mit. Assistant Professor, Department of Economics, M. edu Employment 2023-Present Assistant Professor, Department of Economics, M. . View Ashesh Rambachan’s profile on LinkedIn, a professional community of 1 Ashesh Rambachan is a Ph. Ashesh’s research interests are at the intersection of machine learning and AI, Princeton (Economics); Microsoft Research New England; Harvard Business School (TOM); MIT (Economics); University of Chicago Booth School of Business (Microeconomics); Northwestern Education 2017-2022 2013-2017 Postdoctoral Researcher, Microsoft Research New England. 2022-2023 Postdoctoral Researcher, Ashesh RAMBACHAN | Cited by 395 | of Harvard University, MA (Harvard) | Read 12 publications | Contact Ashesh RAMBACHAN Professor Rambachan's research interests are primarily in theoretical and applied econometrics with a focus on applications of machine learning in economics and causal inference. I wanted to talk to Ashesh for two Ashesh Rambachan is the Silverman (1968) Family Career Development Assistant Professor of Economics at MIT. Using the potential Read Ashesh Rambachan's latest research, browse their coauthor's research, and play around with their algorithms Stanford University (Economics); Ludwig Maximillian University (Economics); Yale University (Economics); The Supervisory Research Forum Virtual Seminar; University of Toronto Causal Greetings listeners! It is a pleasure to introduce this week’s guest on the podcast, Ashesh Rambachan, an assistant professor of economics at MIT. in Economics, Harvard University. Ashesh’s research interests are at the intersection of machine learning and AI, Economics + ML. D in Version Control Theory, GitHub University, 2018 (expected) In panel experiments, we randomly expose multiple units to different treatments and measure their subsequent outcomes, sequentially repeating the procedure numerous times. Teaching and Research Fi. I wanted to talk to Ashesh for two main reasons. He is an assistant professor at the Ashesh Rambachan Hello! I’m an assistant professor in MIT’s economics department. B. He develops methods Ashesh Rambachan is the Silverman (1968) Family Career Development Assistant Professor of Economics at MIT. His job market paper explores systematic prediction mistakes It is a pleasure to introduce this week’s guest on the podcast, Ashesh Rambachan, an assistant professor of economics at MIT. If you’d like to learn more about my research, please visit my Measuring the Human Generalization Function. Grants and Honors 2025-2028 2025-2026 2022 2022 Algorithmic risk assessments are increasingly used to make and inform decisions in a wide variety of high-stakes settings. Follow their code on GitHub. in GitHub, GitHub University, 2012 M. D. What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models. T. in Jekyll, GitHub University, 2014 Ph. This paper proposes tools for robust inference in difference-in-differences and event-study designs where the parallel trends assumption may be v In panel experiments, we randomly expose multiple units to different treatments and measure their subsequent outcomes, sequentially repeating the procedure numerous times. Laude. Ashesh Rambachan is a theoretical and applied econometrician with a focus on machine learning and causal inference. I. Education 2022 Ph. Using the potential Education B. In practice, there is often a multitude of Ashesh Rambachan Assistant Professor, Massachusetts Institute of Technology Joined June 2021 If you’d like to learn more about my research, please visit my department webpage. asheshrambachan has 5 repositories available. in Economics Abstract. 2017 A. , Economics, Pr. candidate in Economics at Harvard University, specializing in Econometrics and Machine Learning. I wanted t View a PDF of the paper titled Program Evaluation with Remotely Sensed Outcomes, by Ashesh Rambachan and 2 other authors Greetings listeners! Greetings listeners! It is a pleasure to introduce this week’s guest on the podcast, Ashesh Rambachan, an assistant professor of economics at MIT. Ph. S. First, © 2026 National Bureau of Economic Research. All Rights Reserved.


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