Rachel Warren

Irvine, California, United States

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Summary

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Rockstar

🎓

Top School

Rachel Warren is a software engineer and Ph.D. candidate in Informatics at UC Irvine with 11 years of experience building large-scale data systems, machine learning pipelines, and research-driven tools across industry and academia. She has shipped production Spark-based solutions at Salesforce and Alpine Data, contributed backend Scala implementations for high-performance rank and distinct-value computations, and recently interned with Microsoft Research on socio-demographic risk modeling for disaster response. Her work blends rigorous empirical research—spanning causal analyses and mobile-data interventions in partnership with governments—with hands-on engineering that optimizes real-time scoring and big-data workflows serving billions of predictions. She’s comfortable translating field-driven social science questions into scalable code and reproducible experiments, and has a track record of bringing research insights into operational systems.

11 years of coding experience

7 years of employment as a software developer

Master of Library & Information Science - MLIS Computer and Information Sciences, General, Master of Library & Information Science - MLIS Computer and Information Sciences, General at UC Berkeley School of Information

Bachelor of Arts (B.A.) Computer Science, Bachelor of Arts (B.A.) Computer Science at Wesleyan University

Doctor of Philosophy - PhD Informatics, Doctor of Philosophy - PhD Informatics at UC Irvine Donald Bren School of Information and Computer Sciences

University of California, Irvine

Spanish

Github Skills (8)

spark10

scala10

algorithms9

data-structure9

algorithm9

data-structures9

testing8

data-engineering7

Programming languages (5)

C++ScalaHTMLJupyter NotebookPython

Github contributions (5)

high-performance-spark/high-performance-spark-examples

Oct 2015 - Sep 2016

Examples for High Performance Spark

Role in this project:

Back-end Developer

Contributions:80 commits, 36 PRs, 55 pushes in 11 months

Contributions summary:Rachel has focused on developing the core backend features for computing rank statistics and distinct values, primarily in Scala. They have worked extensively on the `RankStats` class and its associated utility functions, including methods for calculating medians, distinct values, and implementing secondary sorting. Furthermore, they have refactored existing code and created unit tests to improve the build and test the implementations.

spark

rachelwarren/CPE_Covid_Model

Oct 2020 - Mar 2021

Model of Covid spread in a synthetic city, for the Center for Policing Equity.

Contributions:7 PRs, 17 pushes, 3 branches in 4 months

centerequitysyntheticpolicingspread

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