Martin Engqvist
Head Of Computational Biology
United Kingdom
Summary
👤
Senior🎓
Top SchoolMartin Engqvist is Head of Computational Biology with 12 years of experience applying classical and deep learning to enzyme design, currently leading computational efforts at Epoch Biodesign. He has a strong track record of translating models into lab-validated improvements in enzyme stability and activity, building generative deep learning and atomistic modelling pipelines that close the loop with experimentalists. Previously he led computational enzyme design teams at EnginZyme and taught and supervised students as an Assistant Professor, reflecting a blend of hands-on engineering, academic rigor, and mentorship. His background includes creating widely used computational pipelines and unique datasets—such as a large web-mined microbial growth-temperature resource—that have driven publications and industrial impact. Curious and communicative, he thrives on creative problem solving at the interface of machine learning and biotechnology.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of CologneMax Planck Institute for Plant Breeding ResearchMaster’s Degree, Master’s Degree at Lund UniversityUniversity of Missouri-Saint Louis
German, Swedish, English
Github Skills (19)
proteins9
editing9
autoencoder7
genetic5
machine-learning5
bioinformatics4
python4
deep-learning3
transform3
reimplementation3
visualization3
fourier-transform3
interpolation2
big-data2
folding2
Programming languages (5)
Github contributions (5)
mengqvist/mengqvist
Sep 2020 - Feb 2025
Contributions:14 pushes, 1 branch in 4 years 5 months
EngqvistLab/orgtools
Nov 2018 - Feb 2021
Contributions:3 releases, 12 commits, 15 pushes in 2 years 3 months
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