Carroll Wainwright
Member Of Technical Staff at Metaculus
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolCarroll Wainwright is a Member of Technical Staff and co-founder of Metaculus with 12 years of experience building research-driven software and ML systems in the San Francisco Bay Area. He blends a PhD in physics with hands-on engineering, having written simulation code for numerical relativity, authored the CosmoTransitions Python package, and applied change-point detection and event classification to real-time smart-meter data. At OpenAI he contributed to Practical Alignment and Superalignment efforts, bringing research rigor to model safety work. His background spans startup CTO duties, data science roles, and academic postdoctoral research, enabling him to bridge theory and production engineering. An underappreciated strength is his history of shipping both low-level numerical solvers and user-facing visualizations, demonstrating fluency from algorithms to UX. He maintains an up-to-date publication record on Google Scholar that reflects a persistent engagement with foundational research.
12 years of coding experience
12 years of employment as a software developer
University of California Santa CruzBachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at Pomona College
Github Skills (43)
rust-lang10
scalar10
text-editor10
sublime10
wolfram-language10
temperature10
sublime-text9
reinforcement-learning9
snl-applications9
hydrodynamics9
python8
multiphysics8
parse8
forge8
nodejs7
Programming languages (5)
Github contributions (5)
clwainwright/CosmoTransitions
Mar 2014 - May 2021
A package for analyzing finite or zero-temperature cosmological phase transitions driven by single or multiple scalar fields.
Contributions:1 review, 41 commits, 5 PRs in 7 years 2 months
analyzingpythonzerosnl-applicationsmultiphysics
PartnershipOnAI/safelife
Nov 2018 - May 2021
SafeLife: safety benchmarks for reinforcement learning agents
Contributions:5 reviews, 524 commits, 14 PRs in 2 years 5 months
multiagent-reinforcement-learningreinforcement-learningagentslearning-agentsbenchmarks
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