Romain Studer is an independent computational biologist with over a decade of experience building scalable bioinformatics pipelines that integrate sequences, structures, gene ontology and clinical datasets on HPC and cloud platforms. He has led bioinformatics teams at BenevolentAI, productionising Python/R workflows, designing knowledge-graph models and interrogating large perturbation and patient cohorts (LINCS, UK Biobank) to inform drug–target–disease relationships. His technical toolkit spans sequence alignment, phylogenetics, evolutionary-rate analysis, 3D homology modelling and structure-stability prediction, coupled with data engineering in SQL/Spark/Databricks. Romain combines deep academic training (PhD-level bioinformatics) with practical product-driven delivery and mentoring experience, and is comfortable turning exploratory notebooks into robust, deployable packages. An understated strength is his ability to harmonise heterogeneous methods and datasets into automated, reproducible pipelines that scale from single-protein studies to population-level analyses.
10 years of coding experience
12 years of employment as a software developer
PhD Bioinformatics, PhD Bioinformatics at University of Lausanne
PhD Bioinformatics, PhD Bioinformatics at Swiss Institute of Bioinformatics
Diploma Biology, Diploma Biology at University of Lausanne - UNIL
Contributions:2 PRs, 7 pushes, 2 branches in 9 months
r-packagepythondata-sciencecffirstats
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