Apoorva Lal

I am a research scientist on the Machine Learning and Inference Research (MLIR) team at Netflix, where I work on the intersection of causal inference and machine learning.

I received my PhD from the Department of Political Science at Stanford University in 2023, where I studied causal inference, machine learning, and political economy. During graduate school, I worked on data science and causal inference problems at Netflix, the Data and Evidence for Justice Reform group at the World Bank, and Atlas AI. Prior to graduate school, I worked in health economics research, and studied Economics at Williams College.

• My papers can be found at my google scholar and the research page linked above
• My open-source code can be found at my github