Robin Henry

Venture Associate, Encode AI For Science

Oxford, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Robin Henry is an interdisciplinary engineer and venture associate blending 8 years of applied data science and hardware-software systems experience with current DPhil research in Engineering Biology at Oxford. He has built and led teams across energy markets and grid-scale optimization at Habitat Energy, shipped flight computers for competitive rocketry, and incubated science-led startups through Blackbird Foundry. Now at Pillar VC’s Encode AI for Science and active in Nucleate UK, he sits at the intersection of deep bioscience, machine learning, and commercialization. He brings a track record of publishing and open research—including releasing the gym-anm toolkit during his undergraduate work—and a knack for translating academic ideas into production tools and venture opportunities.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster of Engineering - MEng, Electronics and Computer Science, Master of Engineering - MEng, Electronics and Computer Science at The University of Edinburgh
bookDoctor of Philosophy - DPhil, Engineering Biology, Doctor of Philosophy - DPhil, Engineering Biology at University of Oxford
bookCalifornia Institute of Technology
bookMaster’s Thesis Project, Electrical and Electronics Engineering, Master’s Thesis Project, Electrical and Electronics Engineering at EPFL
languagesEnglish, French
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Github Skills (13)

reinforcement-learning-environments10
solana10
reinforcement-learning10
token-list10
dataframes8
python7
dataframe7
stable-baselines7
rust6
polars6
query-engine2
visualization1
websocket1

Programming languages (4)

RustGoJupyter NotebookPython

Github contributions (5)

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robinhenry/gym-anm

Jul 2019 - Nov 2022

A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
Contributions:10 releases, 219 commits, 18 PRs in 3 years 4 months
reinforcement-learning-environmentsreinforcement-learningelectricity-networksgym-environmentsactive-network-management
robinhenry/gym-anm-exp

Sep 2020 - Nov 2022

Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.
Contributions:45 commits, 4 PRs, 7 pushes in 2 years 2 months
stable-baselinesreinforcement-learninggym-anm
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