Nicholas Guttenberg
Machine Learning Researcher at GoodAI
Gig Harbor, Washington, United States
Summary
👤
Senior🎓
Top SchoolNicholas Guttenberg is a computational physicist turned machine learning researcher with 12 years of experience applying physics-based tools to complex systems across biology, soft-matter, and fluid dynamics. His work spans evolutionary dynamics, origins-of-life modeling, active-matter hydrodynamics, and rare-event methods, blending theory, simulation, and ML to probe emergent behavior. He has held senior research roles in industry and academia—designing ML systems that translate internal algorithmic processes into interpretable representations and pursuing machine-awareness and attention research. Notably, he developed shared frameworks for generative computational chemistry and has a track record of connecting granular- and fluid-dynamics insights to practical modeling problems. Based in Gig Harbor, WA, he brings a rare combination of deep physics intuition and ML-driven experimentation to questions about the emergence of complexity and life.
12 years of coding experience
12 years of employment as a software developer
St. Andrews Episcopal SchoolThe George Washington UniversityPhD, Physics, PhD, Physics at University of Illinois Urbana-ChampaignB.S, Physics, B.S, Physics at McGill University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
unity3d9
related-posts9
classifiers9
reinforcement-learning7
badger7
deep-reinforcement-learning7
deep-learning6
machine-learning6
ml-agents4
imitation-learning4
autoencoder4
python2
neural-network1
Programming languages (4)
Github contributions (5)
arayabrain/ClassifierGenerators
Mar 2018 - May 2018
Supporting code for the paper 'Learning to generate classifiers'.
Contributions:1 release, 6 commits, 5 pushes in 1 month
classifiers
ngutten/StreamNotebooks
Mar 2022 - Apr 2022
Contributions:22 commits, 20 pushes, 1 branch in 1 month
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