Biomarker Discovery, Machine Learning, Data Science

Alejandro Lopez Rincon

Research Group

Alejandro Lopez Rincon
PhD in Applied Mathematics and Scientific Calculus for Medicine in Université Bordeaux/INRIA (Bordeaux, FR), Post-Doc at Machine Learning at LIP6 (Paris, FR), Research Scientist at Riken Brain Science Institute (Nagoya, JP), Post-Doc in Evolutionary Algorithms at INRAE (Paris, FR), Post-Doc in Computational Vision/Oncology at CWI (Amsterdam, NL) and Post-Doc at Utrecht University in Pharmacology (Utrecht, NL).
Group name: Machine Learning Group in Pharmacology / Julius Center
Research field: Biomarker Discovery, Machine Learning, Data Science
Algorithms, Biomarker, Computer Vision, Computational Biology, Machine Learning, Modelling, Pattern Recognition

Contact

Universiteitsweg 99
3584 CG
Utrecht
Department / Institute: Pharmacology / Utrecht University and Julius Center / UMC Utrecht
Building: David de Wied building
a.lopezrincon@uu.nl
0302534775
https://www.uu.nl/en/research/pharmacology/research/Alejandro%20Lopez%20Rincon

Our Research

Our group is interested in developing algorithms, techniques and mathematical models that can be applied to the medical field and pharmaceutical sciences. Currently, one of the main axes of our research is biomarker discovery, where in collaboration with different research groups from around the world, we developed techniques to tackle reproducibility issues. For this objective, we have developed techniques that involve machine learning like recursive ensemble feature selection, and other based on deep learning with success in omics analysis.

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