Valentin Junet has 6+ years of experience in developing data-driven solutions to solve complex biotech problems. After a master’s degree in applied mathematics at ETH Zurich, he received his Ph.D. in Bioinformatics at the Autonomous University of Barcelona as part of a collaborative project funded by the European Union’s H2020 program. During this period, he was working between the academy and the industry to develop application-oriented tools in multiple fields, namely Immunoinformatics with peptide-MHC class II binding prediction, Pharmacology with in-silico clinical trials and retrospective cohort study and Hematology with the study of B-cells’ mutational patterns in monoclonal lymphomas. His work was published in various top-tier peer-reviewed journals like Bioinformatics or Briefings in Bioinformatics. In 2022, he joined Engimmune Therapeutics as a Data scientist where he focuses on the development of ML models for the engineering of soluble TCRs and on implementing data-driven platforms with distinct applications such as target/epitope discovery or synthetic library design.