Layla Hosseini-gerami
Co-Founder And Chief Data Science Officer
Cambridge, England, United Kingdom
Summary
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Top SchoolLayla Hosseini-Gerami is a Co-Founder and Chief Data Science Officer at Ignota Labs who applies an interdisciplinary blend of chemistry, bioinformatics and AI to rescue failing drugs and prevent adverse reactions. With a PhD from the University of Cambridge and an award-winning thesis on integrative cheminformatics and bioinformatics, she has translated academic methods into industry collaborations, including work with Eli Lilly. Over eight years she has built predictive frameworks to uncover molecular mechanisms of toxicity and guide mitigation strategies, earning recognition such as Innovate UK Women in Innovation and Forbes 30 Under 30. Notably, her early work produced a pKa model now used in commercial software, reflecting a practical focus on turning computational insight into deployed tools. Based in Cambridge, she balances deep domain expertise with entrepreneurial drive to improve patient outcomes by making AI both explanatory and preventative.
7 years of coding experience
Doctor of Philosophy - PhD, Chemistry - Bioinformatics, Doctor of Philosophy - PhD, Chemistry - Bioinformatics at University of CambridgeMaster’s Degree, MChem/BSc Chemistry, Master’s Degree, MChem/BSc Chemistry at University of LeedsHigh School, Sciences + Maths, High School, Sciences + Maths at Aylesbury High School
English, Persian, Spanish
Github Skills (40)
gene-expression10
shiny-apps10
pidgin10
causal9
bioinformatics9
moa9
integer-linear-programming9
mechanism9
compound9
prediction9
drug-discovery8
integer8
biology8
r-package7
predict7
Programming languages (4)
Github contributions (5)
BenderGroup/PIDGINv4
Jul 2020 - Mar 2022
PIDGINv4
Contributions:2 releases, 40 commits, 2 PRs in 1 year 8 months
laylagerami/MAVEN
Nov 2020 - Feb 2023
Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal reasoning, plus pathway enrichment to put results into biological context. GUI-based (minimal coding experience required).
Contributions:2 releases, 240 commits, 6 PRs in 2 years 3 months
pidgingui-basedelucidatecausaldorothea
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