Andrew Shapiro
Graduate Student Researcher
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolAndrew Shapiro is a UCLA Statistics PhD candidate and graduate student researcher with 11 years of quantitative experience applying Bayesian and network methods to real-world problems in public health, social statistics, and policy. He designs interpretable models—ranging from Bayesian epidemic frameworks that recover hidden transmission chains to latent-ideology estimators built from Twitter responses—to turn noisy data into actionable insights for governments and interdisciplinary teams. His current work investigates the firearm ecosystem across U.S. legal contexts, combining advanced data engineering with temporal ideal-point inference to reveal drivers of homicides and suicides. Comfortable communicating complex models to nontechnical stakeholders, he emphasizes explanation as much as model-building, enabling better decision-making under uncertainty. Based in Los Angeles, he collaborates with institutions such as the WHO and bridges rigorous theory with applied impact across domains.
11 years of coding experience
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at University of California, Los Angeles
Github Skills (60)
django-admin10
music10
musicbrainz9
organizer9
cli9
jquery-ui9
creative-commons8
csv8
nuxt-module8
pip8
collections8
django8
python8
blacklight8
packaging8
Programming languages (12)
Github contributions (5)
andrewbenedictwallace/samvera-docker
Nov 2018 - Dec 2021
Unofficial dev setup for UCLA Library samvera project
Contributions:2 releases, 1 PR, 8 pushes in 3 years 1 month
samveradev-setupucladev
UCLALibrary/feed_ursus
Nov 2019 - Mar 2025
Script to process CSVs into an Ursus-ready solr index.
Contributions:13 releases, 6 reviews, 99 PRs in 5 years 4 months
csvcsvssolrindex
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