Lewis Moffat
Machine Learning Scientist at Self-employed
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLewis Moffat is a machine learning scientist with a decade of experience applying deep generative models to protein design and structure prediction, holding a PhD in Computer Science from UCL and research ties to the Francis Crick Institute. He currently applies ML to biomedicine at Generate:Biomedicines while also co-founding Conceptual Link and consulting on AI-driven escape room and ARG design, blending rigorous research with playful product design. His background spans industry internships in drug R&D and process optimisation, an MSc with distinction in Machine Learning, and hands-on work creating commercially actionable BI from complex datasets. Notably, he bridges academic protein engineering and consumer-facing puzzle experiences, demonstrating an unusual mix of high-end bioinformatics expertise and creative systems thinking.
10 years of coding experience
7 years of employment as a software developer
University College London
Github Skills (19)
protein-sequences10
variational-autoencoder10
autoencoder10
protein-structure9
viterbi7
bioinformatics5
ray5
temporal-data5
pytorch-lightning5
pytorch4
structural-biology4
mixture-of-experts4
deep-learning4
cpp3
sequence-alignment3
Programming languages (2)
Github contributions (5)
psipred/s4pred
Feb 2021 - Jan 2023
A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence
Contributions:3 releases, 24 commits, 1 PR in 1 year 11 months
psipred/protein-vae
Jun 2018 - Sep 2018
Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
Contributions:1 release, 30 commits, 1 PR in 2 months
autoencodermetal-binding-predictionprotein-sequencesprotein-structuretopologies
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