Dr. Alejandro Lopez Rincon

Dr. Alejandro Lopez Rincon

UU
a.lopezrincon@uu.nl

Employment History

  • Assistant Professor at Utrecht University Pharmacology Department and Julius Center for Health Sciences and Primary Care UMC Utrecht, Utrecht, Netherlands. Responsible for the Machine Learning Group. (01/01/2021 - present)
  • Post-Doctoral Researcher at Utrecht University Pharmacology Department, Utrecht, Netherlands. Worked on Biomarker Discovery. (01/02/2019 - 31/12/2020)
  • Post-Doctoral Researcher at Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands. Worked on Computational Oncology and Affective Robotics. (01/06/2017 - 31/01/2019)
  • Post-Doctoral Researcher at Pierre Marie Curie University (UPMC) LIP6, Paris, France. Worked on Machine Learning Feature Selection. (01/04/2016 - 31/05/2017)
  • Research Scientist at RIKEN Brain Science Institute, TOYOTA Collaboration Center Intelligent Behavior Control Unit, Nagoya, Japan. Worked on Computational Neuroscience. (01/04/2015 - 31/03/2016)
  • Post-Doctoral Researcher at CNRS (Centre National de Recherche Scientific), Paris, France. Worked on Distributed Evolutionary Algorithms. (01/06/2014 - 31/03/2015)
  • Lecturer, ATER (Attaché Temporaire d’Enseignement et de Recherche) at University Bordeaux 2, Unit UFR SCIMS, Bordeaux, France. (01/10/2013 - 31/05/2014)

 

Education 

  • PhD. Applied Mathematics and Scientific Calculus, INRIA-Bordeaux Sud Ouest, Bordeaux II, Bordeaux, France. Thesis: The resolution of the Inverse Problem in Electrocardiography. “Tres Honorable”, with Honors. (2010 - 2013)
  • M.Sc. Computer Science, Universidad de las Américas Puebla, UDLAP, Puebla, Mexico. Thesis: Myoelectric Signal Classification System for the Control of Arm Prosthesis. (2008 - 2009)
  • Mechatronics Engineering, Universidad de las Américas Puebla, UDLAP, Puebla, Mexico. Thesis: Simple Control by Bioelectric Potentials. (2004 - 2007)

 

Awards and Achievements

  • 2025: Supervisor of the Year, In recognition of excellence in student supervision. Master's Degree in Infection and Immunity, Utrecht University/UMC Utrecht. 
  • 2022: Silver Medal Award at the HUMIES Awards for Human-Competitive Results. Project: Detection of SARS-CoV-2 with EAs. Genetic and Evolutionary Computation Conference (GECCO) conference.
  • 2019-2023: National Researcher Recognition, Mexico City, Mexico. (SNI Mexico, candidate).
  • 2015: Microsoft Azure Research Award. Project Art in the Cloud, 20,000 USD in resources for Azure Cloud. Paris, France.
  • 2015: Microsoft Azure Research Award. Project Cloud Cardio, 20,000 USD in resources for Azure Cloud. Paris, France.
  • 2015: Amazon Research Award. Project Cloud Cardio, 5,000 USD in resources for AWS Cloud. Paris, France.
  • 2012: Prix Soutien Jeune Chercheur Journee Scientifique, Price Support Young Researcher Scientific Day. “Institut Polytechnique de Bordeaux”, Polytechnic Institute of Bordeaux. Bordeaux, France.
  • 2010: 1st place Sciences in Health’s Area: EKG-EMG-EEG Portable. Universidad Popular Autónoma del Estado de Puebla. Puebla, México.
  • 2008: 1st place in Conference on Research in Health Sciences: Simple Prothesis Control by Bioelectric Potentials. Universidad Popular Autónoma del Estado de Puebla. Puebla, México.
  • 2008: Postgraduate Excellence Scholarship UDLA-Conacyt. Universidad de las Americas Puebla and Consejo Nacional de Ciencia y Tecnologia. Puebla, Mexico.
  • 2007: 2nd Place in National Expo-Sciences, Category Superior, Area Mechatronics: Simple Prothesis Control by Bioelectric Potentials. Universidad Popular Autónoma del Estado de Puebla and RED Nacional de Actividades Juveniles en Ciencia y Tecnologia. Puebla, México.
  • 2005: 3rd Place in National Convention in Applied Research and Technological Development. CONACYT. Puebla, México.

 

Certifications, Distinctions & Other Profess2023: PI member, distinction, Utrecht Bioinformatics Center.

  • 2020: Supervising PhD candidates, course, Graduate School of Life Sciences Utrecht University.
  • 2019: Genomic Data Science Certification, course, Coursera.
  • 2017-2023: Invited Associate Researcher, distinction, Riken Brain Science Institute, Nagoya Japan.
  • 2015: Qualification Lecturer/MCF section 26, distinction, educational board France.
  • 2010: Research ethics e-learning course, course, CITI Japan Program: Responsible Conduct of Research/ Research Misconduct/ Data Handling/ Rules for Collaborative Research/ Authorship/ Plagiarism/ Managing Public Research Funds.
  • 2008: Cardiovascular Engineering, certification, Universidad Popular Autónoma del Estado de Puebla. Puebla, México, 96 hours.
  • 2006: Clinical and Basic Electrocardiogram, Universidad Popular Autónoma del Estado de Puebla. Puebla, México, 16 hours.
  • 2006: President of the Student Council of the Department of Electronics and Mechatronics. Universidad de las Americas Puebla. Puebla, Mexico.ional Qualifications

 

Grants & Funding

  • 2025: Funding from research project SINFONIA, (SANOFI Type2 grant) on eosinophilic Esophagitis. Utrecht, Netherlands.
  • 2024: Funding from Chronic Fatigue Syndrome Data Analysis, project with LUKAS Heil-Betriebsstätte GMBH. Utrecht, Netherlands.
  • 2024: Research proposal Canvas Nexus: The connection between the artist’s vision and the digital canvas, funding by Public Engagement Fund, Utrecht University. Utrecht, Netherlands.
  • 2023: Research Proposal, Identify specific gut microbiota patterns in HDM-challenged pups maternally exposed to CS and fed with symbiotic supplementation, Surfsara. Utrecht, Netherlands.
  • 2023: Research proposal Identifying Long COVID: A Machine Learning Approach to Diagnosis, funding by the focus area Applied Data Science, Utrecht University. Utrecht, Netherlands.
  • 2022: Research proposal AUTOSEARCH, funding by AI Labs - call to action. Utrecht, Netherlands.
  • 2022: Research Proposal PlaqAI: Generating pilot data through Artificial Intelligence for deep-phenotyping of atherosclerotic plaques and the discovery of novel biomarkers for patient stratification, by AI for Health of the Alliance TU/e-WUR-UU-UMCU.
  • 2021: Research proposal Individual patient expression profiles of disease activity and relation with structural disease progression in rheumatoid arthritis, funding by the focus area Applied Data Science. Utrecht, Netherlands.
  • 2021: Research proposal SAVANT SARS-CoV-2 Variants, funding by the focus area Applied Data Science. Utrecht, Netherlands.
  • 2020: Research proposal EINF-316 - G-ENACTS GEnomic aNalysis to Accurately deTect SARS-CoV-2, funding by Fast track procedure for COVID-19 related research. Utrecht, Netherlands.
  • 2020: Research proposal ELSIE - Evolutionary Selection In Epigenetics, funding by the focus area Applied Data Science. Utrecht, Netherlands.
  • 2019: Research proposal Biomarker Discovery, National Compute Systems Cartesius and Lisa Compute Cluster of SURFsara grant, 86,700 CPU hours and 10,000 GPU hours Amsterdam, Netherlands.