Emmanuel Noutahi is a Principal Scientist and Head of Platform with 12 years of experience at the intersection of computation, genomics, and machine learning, currently leading the Biomodality Research Unit at Valence Labs within Recursion. Trained in computer science, bioinformatics and ML (PhD, Université de Montréal), he combines deep academic expertise in genome evolution with several years of production software engineering and platform leadership. He has progressed from hands-on ML engineering to directing platform strategy for AI-driven drug discovery, shepherding technology through Valence’s spinout and acquisition. An active contributor to Biopython, he has improved codon alignment robustness and added unit tests and pseudocount support—evidence of his pragmatic focus on reproducible, well-tested bioinformatics tooling. Based in Montreal, he blends rigorous theory with product-focused delivery to accelerate computational approaches for complex disease.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Université de Montréal
Official git repository for Biopython (originally converted from CVS)
Role in this project:
Back-end Developer
Contributions:5 commits, 2 PRs, 6 comments in 1 year 4 months
Contributions summary:Emmanuel focused on bug fixes and improvements within the Biopython library, specifically in the codon alignment module. Their commits addressed issues related to codon table usage and translation errors. Furthermore, the user added unit tests to improve the reliability of the codon alignment functionality, showcasing their commitment to code quality. Additionally, they contributed to the AlignInfo module by adding pseudo count support for information content computation.
Contributions:1 release, 2 reviews, 8 PRs in 1 year 1 month
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Emmanuel Noutahi - Principal Scientist at Valence Labs