Invited Speakers

Dr. Abhimanyu Mukerji Inc., United States


Abhimanyu is an Economist at Amazon working on dynamic causal models and causal machine learning. His research uses methods from machine learning, deep learning and natural language processing combined with causal inference to study problems in applied microeconomics and empirical corporate finance. He holds a PhD in financial economics from Stanford University.


Title: Machine Learning for Causal Inference

Abstract: This talk will provide an overview of the problem of causal inference and current approaches to address it. We will discuss the applications of machine learning and deep learning to this problem space, with examples from economics and the social sciences. We will also touch upon the challenges involved in validating solutions and some tests that can be performed to build confidence in causal results.