about.qmd

---
title: "About"
---

I am the [Professor of Data Science for the Common Good](https://www.hertie-school.org/en/research/faculty-and-researchers/profile/person/dimmery) at the [Hertie School](https://www.hertie-school.org/en/)'s [Data Science Lab](https://www.hertie-school.org/en/datasciencelab).

### Research Interests

- Causal Inference
- Machine Learning
- Data Science
- Experimental Design

### Experience

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**Hertie School**  
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January 2024 - present
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*Professor of Data Science for the Common Good*

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**University of Vienna**  
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April 2021 - December 2023
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*Scientific Coordinator*

- Supervisor: Philipp Grohs / Torsten Möller

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**Facebook Core Data Science**  
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Sept 2016 - March 2021
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*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](https://ax.dev/)) - [released at F8 2019](https://developers.facebook.com/videos/2019/product-optimization-with-adaptive-experimentation/))
- Developed scalable methods for robust observational causal inference as the technical lead of our "CausalML" initiative

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**Princeton University**  
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September 2015 - May 2016
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*Pre-doctoral fellow*

- Supervised by Kosuke Imai

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**Facebook Core Data Science**  
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Summer 2015
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*Summer Intern*

- Statistical and Decision Science Team
- Supervised by Eytan Bakshy

### Education

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**New York University**  
PhD in Political Methodology  
Advisors: Cyrus Samii, Neal Beck, Josh Tucker
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New York, NY  
Granted May 2016
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- 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

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**UNC Chapel Hill**  
B.A. in International and Area Studies with distinction
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Chapel Hill, NC  
Granted June 2010
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### Teaching

#### Hertie School
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Causal Machine Learning
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2024-
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Data Structures & Algorithms
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2024-
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Machine Learning
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2024-
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#### Facebook
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Internal datacamp class on designing and analyzing experiments 
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2017-2019
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#### NYU Undergraduate
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TA for Power and Politics in America (under Jonathan Nagler)
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Fall 2014
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TA for Games, Strategy and Politics (under Steven Brams)
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Fall 2013
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#### NYU Graduate

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TA for Quantitative Methods II (under Nathaniel Beck)
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Spring 2015
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TA for Quantitative Methods II (under Cyrus Samii)
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Spring 2014
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High Performance Computing Talk for NYU Datalab
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February 2014
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Introduction to R for NYU Datalab
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January 2013
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