Summary
Alexandre Coudray is a Senior Data Scientist and computational biologist with six years of experience applying machine learning to genomics, currently leading pipeline development and product ownership at Alithea Genomics in Lausanne. He designs and deploys scalable Nextflow pipelines and web tools for high-throughput transcriptomics while driving R&D innovations that translate single-cell insights into actionable drug-sensitivity predictions. During his PhD at EPFL he developed state-of-the-art bulk deconvolution and an EM-based method (CLIFF) that integrates scRNA-seq with ex vivo drug screens to infer cell-population drug responses, validated across multiple datasets. Comfortable bridging lab and code, he has contributed diverse bioinformatics tools—from peak callers to TE analysis—and manages teams to deliver reproducible, production-ready workflows. Notably, he pairs deep domain expertise in cellular heterogeneity with practical product leadership in sequencing technology scale-up.
6 years of coding experience
3 years of employment as a software developer
Master Thesis, Bioinformatics, Master Thesis, Bioinformatics at The University of Texas at Austin
Master's degree, Life Sciences and Technology, Master's degree, Life Sciences and Technology at Ecole polytechnique fédérale de Lausanne
Doctor of Philosophy - PhD, Life Science, Computer Science, Doctor of Philosophy - PhD, Life Science, Computer Science at EPFL (École polytechnique fédérale de Lausanne)