Andy Lau
Senior Applied Research Scientist at InstaDeep
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAndy Lau is a Senior Applied Research Scientist at InstaDeep (BioNTech) with eight years’ experience at the intersection of structural biology and machine learning, focused on protein domains, dynamics and biomolecular interactions. He led large-scale projects such as the Encyclopedia of Domains—a 360 million-domain catalogue from 214 million AlphaFold models published in Science—and developed Merizo, a state-of-the-art deep learning method for protein domain segmentation. His toolkit spans protein structure prediction, deep learning, HDX-MS/statistical software (Deuteros/Deuteros2), crystallography, cryo-EM and molecular dynamics, with contributions across 25+ papers in top journals. Based in London, he blends rigorous academic training (PhD in Structural Bioinformatics, King’s College London) with production-focused research at industry scale, and enjoys “playing with proteins” in open-source projects. An often-overlooked strength is his ability to translate complex experimental mass-spec datasets into reproducible computational tools that accelerate structural discovery.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD) Structural Bioinformatics, Doctor of Philosophy (PhD) Structural Bioinformatics at King's College LondonA Level Biology Chemistry Physics Maths & Mechanics Extended Project Critical Thinking, A Level Biology Chemistry Physics Maths & Mechanics Extended Project Critical Thinking at Queen Elizabeth Sixth Form College
Github Skills (13)
bioinformatics3
structural-biology2
embedding2
protein-structure2
deep-learning2
compression2
prediction2
distributed-computing1
pdb-files1
graph1
middleware1
ab-initio1
analytics1
Programming languages (3)
Github contributions (5)
andymlau/Deuteros_2.0
Feb 2020 - Oct 2022
Contributions:9 releases, 42 commits, 36 pushes in 2 years 8 months
psipred/Merizo
May 2023 - Aug 2024
Fast and accurate protein domain segmentation using Invariant Point Attention
Contributions:1 release, 3 PRs, 32 pushes in 1 year 3 months
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