Neythen Treloar
Principal ML Research Engineer at Outpost Bio
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNeythen Treloar is a Principal ML Research Engineer in London with 8 years of experience applying machine learning and applied mathematics to biology and product-scale AI. He builds foundation models for the gut and microbial communities, having fine-tuned DNA language models and trained graph attention networks and transformers on massive soil and sequencing datasets to accelerate antimicrobial discovery. His background blends academic rigor—a UCL PhD that produced novel deep RL methods for experimental design and a C. elegans brain model—with hands-on production ML work, including fine-tuning and deploying multi-billion-parameter LLMs at startups using PyTorch, Hugging Face and distributed GPU training. He has a track record of securing grant funding, publishing in computational biology, and translating research into commercial products and policy-relevant models for public health. Notably, he bridges noisy, limited biomedical time-series modeling with large-scale generative and graph models, enabling both novel scientific insight and deployable ML systems.
8 years of coding experience
6 years of employment as a software developer
University College London
Github Skills (10)
reinforcement-learning7
sbml7
systems-biology7
ecology7
experimental-design5
reproducible-science5
open-science5
deep-reinforcement-learning3
sender3
receiver2
Programming languages (1)
Github contributions (5)
zcqsntr/RL_OED-proposal
Oct 2022 - Oct 2022
The project proposal template for OpenBioML community projects.
Contributions:39 commits, 35 pushes in 11 days
project-proposalsbmlsystems-biologyopen-scienceopenscience
zcqsntr/RL_OED
Aug 2019 - Sep 2022
Contributions:229 pushes, 1 branch in 3 years 1 month
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