Chris Tokita
Senior Applied AI ML Scientist at Abundant Housing LA
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolChris Tokita is a Senior Applied AI/ML Scientist with 11 years of experience applying computational ecology and complex-systems thinking to real-world problems in cybersecurity, misinformation, public policy, and urban housing. With a PhD from Princeton, he builds large-scale ML and simulation pipelines—ranging from NLP and network analysis of social media to models that detect malicious actors in open-source ecosystems—and ships production-ready solutions at companies like Stripe, Phylum, and Sprout Social. He excels at translating interdisciplinary research into operational tools, evidenced by novel ML detectors (e.g., early vulnerability discussion and author-location models) and Bayesian/HMC analyses of information spread published in top journals. Beyond engineering, he brings policy fluency and DEI leadership from federal science policy work, university fellowships, and nonprofit board service in Los Angeles, helping bridge data, governance, and civic impact. Known for thinking about networks, collective behavior, and the social internet, he combines rigorous quantitative methods with a clear focus on social good and scalable deployment.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Eagle Rock High SchoolBachelor of Science (B.S.) with Distinction Ecology & Evolutionary Biology, Bachelor of Science (B.S.) with Distinction Ecology & Evolutionary Biology at Yale UniversityDoctor of Philosophy (Ph.D.) Computational Ecology, Doctor of Philosophy (Ph.D.) Computational Ecology at Princeton University
Stackoverflow
11reputation
265reached
3answers
1question
Github Skills (30)
python-development10
qt10
spyder10
ide10
language-server-protocol10
anaconda10
pyqt10
python9
development-environment9
jupyter-notebook6
amazon-ec26
amazon-emr6
naive-bayes6
dropbox6
pyspark6
Programming languages (3)
Github contributions (5)
christokita/news-belief-at-scale
Feb 2021 - Sep 2024
Computational modeling and data analysis of the sharing of, exposure to, and belief in news at scale on Twitter,
Contributions:3 releases, 14 reviews, 7 PRs in 3 years 8 months
pythonsharingcomputational-modelingmachine-learningscale
christokita/fixed-threshold-model
Jun 2017 - Nov 2018
Contributions:4 releases, 189 commits, 280 pushes in 1 year 4 months
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