About
I am the Professor of Data Science for the Common Good at the Hertie School’s Data Science Lab.
Research Interests
- Causal Inference
- Machine Learning
- Data Science
- Experimental Design
Education
New York University
PhD in Political Methodology
Advisors: Cyrus Samii, Neal Beck, Josh Tucker
New York, NY
Granted May 2016
- Dissertation: Essays on Causal Inference and Machine Learning with Application to Nonprofits
- Winner of 2015 Williams Award for Best Dissertation Proposal in Political Methodology from the Society of Political Methodology
UNC Chapel Hill
B.A. in International and Area Studies with distinction
Chapel Hill, NC
Granted June 2010
Experience
Hertie School
January 2024 - present
Professor of Data Science for the Common Good
University of Vienna
April 2021 - December 2023
Scientific Coordinator
- Supervisor: Philipp Grohs
Facebook Core Data Science
Sept 2016 - March 2021
Research Scientist
- Part of Eytan Bakshy’s Adaptive Experimentation team
- Developed statistical, machine learning and experimental methodology
- Ran adaptive and contextual field experiments with a variety of product teams
- Integrated advanced methodologies into a toolkit for scalable and automatic experimentation intended for optimization (Ax) - released at F8 2019)
- Developed scalable methods for robust observational causal inference as the technical lead of our “CausalML” initiative
Princeton University
September 2015 - May 2016
Pre-doctoral fellow
- Supervised by Kosuke Imai
Facebook Core Data Science
Summer 2015
Summer Intern
- Statistical and Decision Science Team
- Supervised by Eytan Bakshy
Teaching
Internal datacamp class on designing and analyzing experiments
2017-2019
NYU Undergraduate
TA for Power and Politics in America (under Jonathan Nagler)
Fall 2014
TA for Games, Strategy and Politics (under Steven Brams)
Fall 2013
NYU Graduate
TA for Quantitative Methods II (under Nathaniel Beck)
Spring 2015
TA for Quantitative Methods II (under Cyrus Samii)
Spring 2014
High Performance Computing Talk for NYU Datalab
February 2014
Introduction to R for NYU Datalab
January 2013