Neil Dalchau
Head Of Computational Biology
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNeil Dalchau is Head of Computational Biology with over a decade of industry research experience translating dynamical-systems theory and machine learning into practical biotechnology solutions. He has led teams at Microsoft Research and Synteny, published 40+ peer-reviewed papers, and built open-source tools (notably in F# and Python) to make advanced modeling reproducible and deployable. His work spans adaptive immunity modeling, DNA-based computation concepts, engineered pattern formation in cells, and process trade-offs in viral vector manufacturing, blending deep math with lab-aware automation. Known for connecting theoretical insight to product-relevant questions, he actively shapes which data should be collected to maximise experimental ROI. Based in Cambridge, UK, he combines a PhD-level quantitative background with hands-on software craft and a penchant for surprising crossovers between computation and wet lab systems.
11 years of coding experience
11 years of employment as a software developer
MMath Mathematics, MMath Mathematics at University of OxfordPhD Mathematics Engineering Plant Sciences Biology, PhD Mathematics Engineering Plant Sciences Biology at University of Cambridge
Japanese
Stackoverflow
33reputation
6kreached
4answers
1question
Github Skills (89)
experimental-design10
emulation10
decision-making10
bayesian10
sensitivity-analysis10
affinity10
uncertainty-quantification10
matlab9
matrix9
continuation9
python9
differentiation9
parser9
numerics9
regression9
Programming languages (11)
Github contributions (5)
Biological-Computation/crn-engine
Oct 2021 - Jun 2022
Tools for programming chemical reaction networks (CRN), DNA strand-displacement circuits (DSD) and genetically engineered circuits (GEC).
Contributions:2 reviews, 33 commits, 7 PRs in 8 months
reaction-network
Eccleston/RuthPhD
Jun 2015 - Mar 2018
Contributions:23 pushes in 2 years 9 months
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