S3E21: Ashesh Rambachan, Predictive Algorithms and Causal Inference, MIT

Greetings listeners! It is a pleasure to introduce this week’s guest on the podcast, Ashesh Rambachan (asheshrambacha...) , an assistant professor of economics at MIT. I wanted to talk to Ashesh for two main reasons. First, because I wanted to, and second, because I was aware of some of his recent work in econometrics. His recent article on evaluating the fragility of parallel trends in difference-in-differences (www.jonathandr...) just came out in the Review of Economic Studies. I’m also intrigued by his work with Sendhil Mullainathan on machine learning, algorithmic fairness as well as generative AI (economics.mit....) . Having a specialist in both causal inference, artificial intelligence and machine learning is rare, so I thought sitting down with him to learn more about his story would be a lot of fun, not just for me, but for others too. With that said, here you go! I hope you enjoy the interview! Thank you again for all your support!
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