Blake Bullwinkel
Data & Applied Scientist
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolBlake Bullwinkel is a Data & Applied Scientist with six years of experience blending AI safety research and applied machine learning at Microsoft’s Cloud + AI Group. He holds an MS in Data Science from Harvard and a background in Mathematics and Chinese from Oxford and Williams College, enabling a rare mix of rigorous quantitative skill and cross-cultural communication. Blake has taught advanced data science topics at Harvard, led practical ML projects in industry—from water-efficiency models at PepsiCo to digital platforms at ZOLA—and contributes to AI red-teaming work focused on making systems safer. Based in Seattle, he brings research-grade thinking to production problems and a persistent curiosity about the intersection of AI capabilities and responsible deployment.
6 years of coding experience
Mathematics and Chinese, Mathematics and Chinese at University of OxfordMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Harvard UniversityInternational Baccalaureate (IB), Higher Level Mathematics (7), Physics (7), Chemistry (7), International Baccalaureate (IB), Higher Level Mathematics (7), Physics (7), Chemistry (7) at UWC South East AsiaBachelor of Arts - BA, Mathematics and Chinese, Bachelor of Arts - BA, Mathematics and Chinese at Williams College
English, Chinese
Stackoverflow
315reputation
41kreached
2answers
19questions
Github Skills (21)
generative-ai10
wake7
firebase6
kivy-language6
momentjs6
datetimepicker6
expo6
beautifulsoup6
kivy6
dataframe6
keyword-spotting6
firebase-authentication6
javascript6
hotword4
speech-recognition4
Programming languages (3)
Github contributions (5)
autodiffdreamteam/cs107-FinalProject
Sep 2020 - Jan 2021
Contributions:2 reviews, 16 PRs, 84 pushes in 3 months
blakebullwinkel/PyRIT
Mar 2024 - Jan 2025
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
Contributions:107 pushes, 12 branches in 9 months
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