Jeremie Zumer is a founder and machine learning researcher-engineer with nine years of experience applying deep learning to bioinformatics and language systems. He has driven high-impact projects from improving Microsoft’s customer support NLU to inventing and validating two novel computational antibody design methods with >90% binding success across 20+ targets. Comfortable moving between research and product, he has built full-stack tools—web apps for experiment orchestration and demo-to-solution pipelines—that cut analysis and meeting overhead dramatically while enabling cross-functional collaboration. His work spans sequence- and structure-based protein design, temporal gene-expression analysis, and dialogue systems, reflecting a rare blend of wet-lab validation exposure and production ML. Based in Sweden, he combines a PhD in bioinformatics with hands-on engineering to turn complex biological problems into deployable ML solutions. A not-obvious strength: he repeatedly translates research prototypes into operational workflows that measurably accelerate lab decision-making and customer outcomes.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Université de Montréal
Contributions:6 reviews, 6 commits, 5 PRs in 2 years 4 months
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