Apoorva Lal
Member Of Data Science Staff
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolApoorva Lal is an applied statistician and data scientist with a decade of experience translating econometrics and causal machine learning into product and policy impact across OpenAI, Amazon, and Netflix. Her work focuses on long-term causal inference, experimentation under interference, demand estimation, adaptive experimentation, and more recently designing data-collection for LLM post-training, blending rigorous research with production-facing solutions. She has a strong academic foundation (PhD candidate at Stanford) and a track record of teaching graduate causal inference and machine learning, plus open-source tooling and public notes that make complex methods accessible. Comfortable moving between field experiments, high-dimensional administrative data, and generative-recommender evals, she pairs deep theoretical insight with practical engineering and measurement decisions. An unusual strength is her breadth: from remote-sensing poverty measures for global development to econometric attribution at cloud-scale advertising teams, she consistently bridges academic methods and real-world deployment.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Williams CollegeMaster of Arts - MA Economics, Master of Arts - MA Economics at The University of British ColumbiaGCE A Levels, GCE A Levels at Rato Bangala SchoolDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (181)
typesetting10
random-forest10
econometrics10
touchscreen10
markup10
jupyter10
causal-inference10
jupyterlab-extension10
tron10
jupyterlab10
sublime-text9
panel-data9
statistics9
jupyter-widget9
nteract9
Programming languages (10)
Github contributions (5)
apoorvalal/historical_data_extraction
Apr 2021 - May 2022
minimal example of layoutparser use
Contributions:4 commits, 2 PRs, 7 pushes in 1 year 1 month
apoorvalal/pyGIS-notes
Nov 2019 - May 2022
Contributions:6 commits, 5 pushes, 1 branch in 2 years 6 months
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