I am a PhD candidate in Economics at Stanford Unversity with a PhD Minor in Computer Science. My research focuses on applied econometrics at the intersection of causal inference and machine learning, with a particular emphasis on settings with text data and applications to local political economy.
I am a Stanford Data Science Scholar. My work is supported by the Stanford Institute for Economic Policy Research (SIEPR) and the Stanford HAI Seed Research Grant Program.
I am on the academic job market, available for positions beginning Summer 2027.
Email: amarvenu at stanford dot edu
Advisors: Guido Imbens (co-primary), Jann Spiess (co-primary), Jiafeng Chen, Matthew Gentzkow
Primary Fields: applied econometrics, causal inference, machine learning
ECON 272: Intermediate Econometrics III (Grad)
ECON 115/CS 171/DATASCI 161: Causality, Decision Making and Data Science (Undergrad)
ECON 271: Intermediate Econometrics II (Grad)