Dr. Enrique I. Velazquez-Villarreal

Dr. Enrique I. Velazquez-Villarreal |Clyto Access

Rady Children's Hospital-San Diego, USA


Expertise: Cognitive Genomics, Diabetes, Health care informatics and Integrating genomic data in Electronic Health Records (EHRs)


Dr. Enrique Velazquez is a Multidisciplinary Doctor in Medicine, Genetics, Precision Medicine, Precision Public Health, Statistical and Computational Genomics, proficient in Big Data, Artificial Intelligence (AI) / Machine Learning (ML) methods and Supercomputers. He applies advanced research methods in multiple diseases such as Diabetes. He is a Postdoctoral Fellowship at Rady Children's Hospital San Diego (RCHSD), Child & Adolescent Services Research Center (CASRC); Research Consultant at University of California San Diego (UCSD), Adjunct Assistant Professor in the Graduate School of Public Health, College of Health and Human Services at San Diego State University (SDSU); Adjunct Assistant Professor in the School of Engineering and Computing, Department of Applied Engineering at National University San Diego. He has his private medical consultation/clinic as a physician in Zona Rio Tijuana BC Mexico, providing health care to patients with diabetes. He was co-chair of the Industry Bridge Program (IBP) at the Society of Fellows (Sof) at TSRI. Dr. Velazquez earned his doctorate (Ph.D.) in human/medical genetics with a strong focus on Statistical and Computational Genomics for Precision Medicine at the University of Pittsburgh. He is Member of the American Society of Human Genetics, International Society of Human Genetics and International Society of Autism Research. He has collaborated with chief scientists of different biotech companies in San Diego such as transplantgenomics.com and igenomx.com. Dr. Velazquez has occupied different positions as medical bioinformatics at the University of Pittsburgh and University of Pittsburgh Medical Center (UPMC): the Bioinformatics Resource Center of the Institute for Personalized Medicine, Center for Simulation and Modeling, Center for Computational Genetics, Department of Psychiatry - Center for Neuroscience, World Health Organization (WHO) Collaborating Center. He has been co-investigator for different research grants from the National Institutes of Health (NIH) and Institutional grants in genomics such as Genomics for Transplantation and Multi-dimensional shotgun epigenetics. Currently, he is collaborating as co-investigator in different projects funded by the National Institute of Mental Health (NIMH) and institutional grants in Autism such as SUCCESS (Intervention for Autism), AIM – Autism Impact Measure, College SUCCESS (Autism), High School SUCCESS (Autism), Command and Control (Autism), CBID (Autism), CREW (Community-based Mental Health services), ACHIEVE (Autism) and AI methods to clustering Autism measures.



Title: Diabetes & Genomics


Genomic research focused on diabetes has identified regions in the genome that predispose to or protect from developing type 1 or type 2 diabetes. In addition, functional genomic research has focused on the gene expression profiles of these regions to provide strong biologic insights into the molecular mechanisms underlying these signatures, underscoring their logistical potential as molecular diagnostics to improve clinical outcomes following clinical treatment. To this end, advanced statistical methods such as Artificial Intelligence (AI) / Machine Learning (ML) algorithms has been developed to identify genomic classifiers from Next-Generation Sequencing (NGS) data that predict molecular insights of Diabetes based on peripheral blood cell gene expression profiles. Genomic research focused on diabetes, immunology.


Related Conferences :

International Diabetes and Degenerative Diseases Conference