Jacob Zweig
Co-Founder, Principal Machine Learning Scientist at Strong Analytics
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolJacob Zweig is a co-founder and principal machine learning scientist with over a decade of experience translating AI research into production-grade solutions across healthcare, education, e-commerce, sports, agriculture, and social media. Based in Chicago, he leads a team of PhD-trained data scientists at Strong Analytics, delivering end-to-end, scalable ML pipelines and products for startups and Fortune 500 clients. His background as a cognitive neuroscientist (PhD, Northwestern) informs a rigorous, experiment-driven approach to problems like reinforcement learning for ad optimization, high-scale NLP moderation, and athlete-tracking computer vision. Comfortable across Python, TensorFlow, PyTorch, Spark, and AWS, he combines deep technical craft with product sensibility to prioritize robustness and user experience. Beyond building models, he’s focused on framing the right business questions and operationalizing research so it creates measurable impact.
10 years of coding experience
Doctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at Northwestern UniversityBachelor’s Degree Psychology, Bachelor’s Degree Psychology at McGill University
Stackoverflow
1reputation
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Github Skills (68)
python10
deep-learning10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
tensorflow-hub10
convolutional-neural-networks9
progress-bar9
neural-network9
meter9
discord9
froala9
bert9
Programming languages (8)
Github contributions (5)
jacobzweig/RCNN_Toolbox
May 2016 - Aug 2016
Contributions:36 commits, 35 pushes, 1 branch in 2 months
jacobzweig/Keras-RCNN
Jul 2016 - Mar 2018
Recurrent Convolutional Neural Networks in Keras
Contributions:4 commits, 1 PR, 3 pushes in 1 year 8 months
convolutional-neural-networkskeras
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