Heidi Jiang
Director, Machine Learning at The New York Times
New York, New York, United States
Summary
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Senior🎓
Top SchoolHeidi Jiang is a Director of Machine Learning at The New York Times with a decade of experience translating computational neuroscience training into impactful ML and data science solutions for media and streaming businesses. She progressed rapidly through technical and leadership roles at NYT and Peacock, blending hands-on modeling with product-focused deployment and team leadership. With a PhD in Neuroscience from Northwestern and a BS in Cognitive Science from Brown, she brings rigorous experimental thinking to real-world machine learning problems, especially at the intersection of user experience and content personalization. Notably, she transitioned from academic research to industry via the Insight Data Science fellowship, signaling a strong aptitude for applied data science and cross-disciplinary collaboration. Based in New York, she pairs deep domain knowledge with a practical delivery mindset, often bridging research insights and production-ready systems.
10 years of coding experience
17 years of employment as a software developer
Bachelor of Science - BS, Cognitive Science, Bachelor of Science - BS, Cognitive Science at Brown UniversityDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Northwestern University
Stackoverflow
1reputation
0reached
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Programming languages (1)
Github contributions (5)
heidijiang/heidijiang.github.io
Jan 2018 - Jun 2019
Contributions:34 pushes, 1 branch in 1 year 5 months
heidijiang/tick-tackles-toad
Feb 2018 - Jun 2019
Contributions:17 pushes, 1 branch in 1 year 4 months
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