Matt Goldman
Research Scientist at Meta
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolMatt Goldman is a research scientist and empirical microeconomist with eight years of experience applying econometrics and machine learning to digital markets and large-scale experimentation. He has driven causal inference and optimization work at Meta and Microsoft—building A/B testing platforms, automating causal models, and improving ranking and bidding for sponsored search. Comfortable in Python, R, Stata, MATLAB and SQL, he blends rigorous academic training (PhD in Economics, UC San Diego) with production software engineering on integrity-sensitive ranking systems. Notably, his Github coursework contributions demonstrate hands-on implementation of ridge and lasso solutions and reproducible analyses of canonical empirical studies, signaling a practical focus on robust, transparent inference. Based in Palo Alto, he thrives at the intersection of econometric theory and deployable ML systems that influence pricing, forecasting and ad auction design.
8 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Github Skills (6)
data-analysis10
r10
machine-learning9
regression9
html8
pandoc7
Programming languages (2)
Github contributions (3)
msr-ds3/coursework
Jun 2017 - Jun 2018
summer school coursework
Role in this project:
Data Scientist
Data ScientistContributions:13 commits, 9 pushes in 1 year
Contributions summary:Matt appears to be working on data analysis and model building, specifically focusing on regression techniques. They implemented solutions for ridge and lasso regression problems using the `glmnet` library in R, and assessed their performance using metrics such as Mean Squared Error (MSE). The user also created an HTML file showcasing an analysis of Card & Krueger's work, and also worked on solutions for a homework assignment.
spring-bootjavasummer-schoolsummer
map222/trailofpapers
Oct 2018 - Jan 2019
Miscellaneous projects from my blog
Contributions:8 commits, 4 pushes in 2 months
my-blogpythonmiscellaneous
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