Patrick Mineault
NeuroAI Researcher at Amaranth Foundation
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPatrick Mineault is a NeuroAI researcher with 11 years of experience bridging computational neuroscience and machine learning, currently building foundation models for neuroscience at Mila and researching at the Amaranth Foundation. He combines deep academic training (PhD in Neuroscience from McGill) and hands-on product experience from roles at Google and Facebook Building 8 to medtech entrepreneurship as CTO and co-founder of Blindsight. His work spans Bayesian and probabilistic modeling, neural signal processing, and scalable ML systems—evident from contributions to NeuromatchAcademy tutorials and design of large research infrastructure like UPenn’s $20M Center for Rigor. Patrick has shipped intellectual property and academic spotlight work (NeurIPS) while also advising startups and publishing accessible pieces for a16z, showing unusual fluency across research, engineering, and science communication. He thrives at the intersection of neuroscience and AI, turning theoretical models into practical tools and clinical-minded products.
11 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at McGill University
French, English
Stackoverflow
741reputation
73kreached
20answers
5questions
matlab
top-5%
Github Skills (15)
bayesian-statistics10
jupyter-notebook10
bayesian10
python10
machine-learning9
matlab9
neuroscience8
iteration6
regression6
curve-fitting6
gaussian6
plot6
vectorization6
documentation6
numpy6
Programming languages (13)
Github contributions (5)
NeuromatchAcademy/course-content
May 2020 - Jul 2020
NMA Computational Neuroscience course
Role in this project:
Backend Developer
Backend DeveloperContributions:6 reviews, 107 commits, 91 PRs in 1 month
Contributions summary:Patrick made changes to the BayesDay_Tutorial_1.ipynb tutorial file, likely modifying the content of the tutorials or solutions. Based on the nature of the course description and topics (machine learning, neuroscience) this likely involves implementation or modification of code related to statistical modeling, and may involve editing of latex equations and other documentation elements. The commit messages suggest the user also focused on fixing typos.
neurosciencedynamic-systemspythoncomputational-neurosciencemachine-learning
patrickmineault/industry
Feb 2020 - Mar 2020
Contributions:19 commits, 13 pushes, 1 branch in 1 month
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