Víctor Manuel Treviño Alvarado, Ph.D.

Víctor Manuel Treviño Alvarado, Ph.D.

Associate Professor

Research Areas:

  • Bioinformatic methods for biological data analysis
  • Cancer Genomics and Biomarkers
  • Stem cell differentiation trajectories

Professor and researcher of Computational Biology and Bioinformatics at Tecnológico de Monterrey. Dr. Victor Treviño began his studies as a data processing technician in the old technical school of Tecnológico de Monterrey, graduating in 1989. He then pursued professional studies as engineer in electronic systems in 1994, also at Tecnológico de Monterrey. Later, he moved to Master of Science with specialty in Molecular Biology and Genetic Engineering at the Faculty of Medicine of the University of Nuevo Leon, finishing in 1999, where he obtained honorable mention for his thesis on the molecular evolution of a gene. In 2007 obtained his doctoral degree at the University of Birmingham in the United Kingdom, working on cancer data analysis.

He worked since 1988 in software development for the industry, business administration, distance education, and research for more than 15 years. He began working at Tecnológico de Monterrey in 1999, and since 2007, he is a professor-researcher in the field of bioinformatics where he also teaches engineering, computation, statistics, and biotechnology at undergraduate and postgraduate levels. He has led the research group in bioinformatics since 2009, where he has graduated 3 doctors and more than 10 master’s students at Tecnológico de Monterrey. He has been an active member of CONACyT's National System of Investigators since 2007, and is currently SNI Level 2. He has published more than 45 research papers, accumulating more than 1,000 citations that have been awarded by research prizes and grants. Currently, he is professor-researcher at the School of Medicine of Tecnológico de Monterrey.

Dr. Treviño is interested in research areas related to biomarker identification and validation, mainly in medicine and cancer, and computational and statistical methods for discovering biological knowledge, and genomic data analysis.


Email: vtrevino@itesm.mx



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