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Joe's Terminal I’m a PhD economist currently working as a data scientist in People Analytics at Workday and as a researcher with the FutureTech Lab at MIT CSAIL. This site was originally made when I was initially on the job market a few years ago, so it is in need of updating. Use the terminal below to find out more about me!


Projects

Below are some selected non-work projects that I have recently (or semi-recently) worked on. I don't have tons of time any more to work on random non-work projects, but love to really dig into things and master new skills when I can.

People Analytics Job Board

This job board compiles the latest people analytics job postings with future plans of analyzing job opportunities in this space. The job board is refreshed weekly.
People Analytics

Demographic Report for the Surrounding Area of the Cumberland County Landfill

This report documents the racial and age demographics of the area surrounding the proposed landfill. In the affected area, the percentage of Black residents is 77.4% higher than the Black population in Virginia. Additionally, the percent of residents under 18 is 46.6% higher than the percent of residents under 18 in Virginia.
Environmental Justice, Demographics

Community College Spending on For-Profit Enrollment

I estimate the causal impact of spending by community colleges on nearby for-profit colleges by exploiting variation of budget shocks and tuition freezes/caps by state legislatures.
Causal Inference, Two-Stage Least Squares

Uncertainty of Outcome and Superstar Effect in Esports

I evaluate the Uncertainty of Outcome Hypothesis (UOH) as well as the superstar effect on Twitch viewership in two esports: Counter-Strike: Global Offensive and Dota 2. These theories have been evalauted in many sports, but this is the first paper to my knowledge that extends the analysis to esports.
Sports Economics, Esports

Impact of Drought on Herd Composition (WIP)

Using autoregressive models, I estimate the impact of sustained drought on herd composition in Tanzania and Uganda.
Autoregressive

Esports Predictions Using Monte Carlo Simulation

Using a combination of Markov Chain and tree-based ensemble methods, I forecast the outcomes of esports matches and tournaments.
Machine Learning, Monte Carlo, Markov Chain, Esports

Affirmative Action and Human Capital Investment

We design an experiment to mimic Affirmative Action (AA). We then estimate the effects of AA on human capital investment. Featured on FiveThirtyEight.
Experiment


NOT so Recent Activity (from a few years ago)


My Experience on the Job Market

Economics

PhD Math Bootcamp

Economics

Rocket League Esports (RLCS) Simulated Predictions

Sports Analytics

My Experience with the Google Foobar Challenge

Computer Science

Machine Learning Exploration

Machine Learning

Fun with Binary Decision Diagrams (BDDs)

Computer Science