Summary
Alejandro Rincon is an Assistant Professor and researcher with eight years of experience applying machine learning and mathematical modeling to biomedical problems, currently leading the Machine Learning Group at Utrecht University. His work spans computational cardiology, biomarker discovery for disorders from autism to cancer, and AI-driven detection of SARS-CoV-2 variants—efforts that earned a GECCO 2022 Silver Medal and multiple research grants. He combines deep theoretical training (PhD in applied mathematics and inverse problems in electrocardiography) with hands-on projects across academia and research institutes in Europe and Japan, including CWI, CNRS, and RIKEN. Alejandro’s background in mechatronics and early FPGA-based video analytics gives him a rare blend of hardware-aware engineering and advanced statistical modeling. He also teaches machine learning and big data in life sciences and has a track record of turning complex biological signals into robust, publishable solutions.
8 years of coding experience
11 years of employment as a software developer
Phd. in Mathématiques appliquées, calcul et simulation, Computational Cardiology, Tres Honorable, Phd. in Mathématiques appliquées, calcul et simulation, Computational Cardiology, Tres Honorable at Université Bordeaux I
Masters Degree in Computer Science, Computational Biology, Masters Degree in Computer Science, Computational Biology at Fundación Universidad de las Américas Puebla
Spanish, English, French