Neythen Treloar
Principal ML Research Engineer at Outpost Bio
London, England, United Kingdom
Summary
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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 (9)
reinforcement-learning7
sbml7
systems-biology7
ecology7
open-science6
experimental-design6
reproducible-science5
sender4
receiver2
Programming languages (2)
Github contributions (5)
zcqsntr/ROCC
Oct 2019 - Feb 2022
CBcurl: Control of Bacterial communities using reinforcement learning.
Contributions:45 commits, 2 PRs, 44 pushes in 2 years 3 months
reinforcement-learning
zcqsntr/RED
Mar 2022 - Oct 2022
Reinforcment learning for Experimental Design
Contributions:31 commits, 2 PRs, 27 pushes in 6 months
experimental-design
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