Conor Heins
ML Research Engineer Lead at VERSES
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolConor Heins is an ML research engineer lead based in Berlin with nine years of experience bridging probabilistic inference, neuroscience, and production machine learning. After a PhD at the University of Konstanz and research roles at Max Planck institutes, he transitioned to industry-focused ML engineering at VERSES, advancing from Senior ML Engineer to lead research engineering efforts. His work combines rigorous experimental science with applied ML systems—designing probabilistic models and inference tools that inform embodied AI and world-modeling. Conor’s background in cognitive and systems neuroscience gives him a distinctive edge in interpretable, biologically informed approaches to learning algorithms. He is comfortable moving models from theory to production and thrives at the intersection of research, software engineering, and product impact.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of KonstanzMaster of Science - MS, Master of Science - MS at International Max Planck Research School for NeurosciencesBachelor of Arts - BA, Neuroscience, Bachelor of Arts - BA, Neuroscience at Swarthmore College
Github Skills (73)
python10
experimental-design10
ssreflect10
markov-chain10
markov-decision-processes10
stochastic-processes10
statsmodels10
markov10
information-theory10
probabilistic-models10
hidden-markov-model10
machine-learning10
inference10
statistical-inference10
2captcha9
Programming languages (6)
Github contributions (5)
infer-actively/pymdp
Dec 2019 - Dec 2022
A Python implementation of active inference for Markov Decision Processes
Contributions:5 releases, 17 reviews, 574 commits in 3 years
information-theoryssreflectpythondecisionpython-implementation
daphnedemekas/active_inference_opinion_dynamics
Jan 2021 - Jul 2021
Contributions:71 commits, 8 PRs, 37 pushes in 5 months
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