Summary
Nicolàs Palacio-escat is a computational biomedicine researcher with nine years of experience bridging biotechnology, mathematical modeling, and proteomics to decode cellular systems. Trained in biotechnology and systems biology, he developed mechanistic and stochastic models—from the Min protein dynamics in E. coli to single-cell stochastic models and MS-based predictors for chronic kidney disease—during roles across RWTH Aachen, EMBL, DKFZ and University Hospital Heidelberg. Currently a Visiting Researcher at EMBL-EBI while staff bioinformatician at Heidelberg University, he combines hands-on modeling, coding and mass-spec analysis to turn complex biological data into predictive insights. Notably, his background spans wet-lab-informed theory and applied computational pipelines, giving him an uncommon fluency across experimental design and mathematical abstraction.
8 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Modeling for Science and Engineering, Master of Science (MSc), Modeling for Science and Engineering at Universitat Autònoma de Barcelona
Doctor of Natural Sciences (Dr. rer. nat.), Computational Biomedicine, Doctor of Natural Sciences (Dr. rer. nat.), Computational Biomedicine at Heidelberg University
Bachelor of Science (BSc), Biotechnology, Bachelor of Science (BSc), Biotechnology at Universitat de Girona
Spanish, Catalan, English, German, Japanese