Welcome to Sukjin Vincent Han’s webpage.

I am a Professor of Economics at University of Bristol, UK, specializing in econometric theory and applied econometrics. Previously, I served as an Assistant Professor at the University of Texas at Austin, US, and earned my PhD from Yale University.

My research interests span causal inference, machine learning, and artificial intelligence. I focus on problems related to treatment effects and policy evaluation, treatment allocations and policy learning, as well as associated non-standard inference challenges. I am also interested in leveraging unstructured data (e.g., images, text) for economic analyses via machine learning and in exploring the role of AI in social science research.

Outside my research but motivated from it, I participate in artistic projects, collaborating with sculptors, writers, designers, and musicians.

Here is my CV︎︎︎.



Recent talks:

Johns Hopkins, WashU, Indiana, MSU, Berkeley, Yale, Stanford, UCSC, UC Davis, U of Washington, Queen’s, Uber;
NAWM, ESIF: Econ+AI+ML, California Conference, Causal Data Science Meeting, CFE-CMStatistics

 



sukjin.han[at]gmail[dot]com


Appointments

2020-present

Professor of Economics, School of Economics, University of Bristol

Fall 2024

Visiting Faculty, Graduate School of Business, Stanford University

Sep 2024

Visiting Faculty, Cowles Foundation, Yale University

2012-2020

Assistant Professor, Dept of Economics, University of Texas at Austin


© Sukjin Han