Summary
Eloy Vallina is a data scientist with a PhD in Biophysics and a decade of experience applying statistical modelling, machine learning, and computational simulations to biological problems. He has led large-scale analyses of millions of sequences and thousands of protein structures, built production-ready dashboards, and trained dozens of junior researchers in bioinformatics and protein physics. In industry he translated lab experiments into data-driven improvements—optimising fungal biomass yield, implementing Bayesian optimisation to cut trial costs 25%, and deploying computer vision models for mycelium detection. Now at HP, he brings a rare blend of deep domain knowledge in proteins and hands-on ML/engineering skills, plus a knack for turning experimental workflows into reproducible, visual analytics. An anecdotal trait: he nearly pursued pro tennis, which explains his competitive drive and persistence in solving complex scientific problems.
10 years of coding experience
Grado, Biotechnology, Grado, Biotechnology at Universidad de Oviedo
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at Stockholm University
Spanish, English, Swedish, German