Medicine
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Jonathan N. Myers
Clinical Professor (Affiliated), Medicine - Med/Cardiovascular Medicine
BioDr. Myers is a Health Research Scientist at the Palo Alto VA Health Care System; a Clinical Professor at Stanford University (Affiliated), and a Senior Research Career Scientist Award recipient through the VA Rehabilitation Research and Development Program. His research has focused on primary and secondary prevention, and the clinical applications of exercise testing and rehabilitation in patients with cardiovascular disease and other chronic conditions. He has a lengthy history of studying the epidemiology of cardiopulmonary exercise test responses, physical activity patterns, and other lifestyle factors and their relation to health outcomes. He manages the Veterans Exercise Testing Study (VETS), an ongoing, prospective evaluation of Veteran subjects referred for exercise testing for clinical reasons, designed to address exercise test, clinical, and lifestyle factors and their association with health outcomes.
He earned his bachelor’s degree from the University of California, Santa Barbara, his master's degree from San Diego State University, and his doctorate from the University of Southern California. He has been a board member for many organizations including the American Heart Association (AHA), the American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR), and the American College of Sports Medicine (ACSM), and serves on the editorial board for 9 journals. He is a recipient of the Michael Pollock Established Investigator Award through the AACVPR, a recipient of the Steven N Blair Award for excellence in physical activity research from the AHA Council on Epidemiology and Prevention and is the 2022 recipient of the American College of Sports Medicine Citation Award. He is a fellow of the AACVPR, ACSM, American College of Cardiology, and the AHA, and has authored and co-authored guidelines on exercise testing and rehabilitation for each of these organizations, including the 2021 editions of the ACSM and AACVPR guidelines. -
Behzad Naderalvojoud
Biostatistician 2, Computational Medicine
BioBehzad Naderalvojoud is a biomedical informatics scientist at the Stanford Center for Biomedical Informatics Research. He received his Ph.D. degree in computer science at Hacettepe University, Turkey, in 2020. He is immersed in the fields of machine learning, deep learning, natural language understanding, and Big data analytics and works on health knowledge discovery platforms that transfer Big health data from volume-based to value-based by generating relational knowledge leading to innovative treatments, predictive therapeutic outcomes, and early diagnosis. He was the leader of many industrial AI projects in the fields of healthcare intelligence and information management in the Eureka cluster programs.
Dr. Naderalvojoud has published several papers in the field of natural language understanding by working on word sense disambiguation, sentiment analysis, neural word embeddings, and deep learning models through national and international projects.
He is currently working on the funded NLM grant project "Advancing Knowledge Discovery for Postoperative Pain Management" under the supervision of Dr. Tina Hernandez-Boussard. He develops descriptive, predictive, and analytical tools using OMOP CDM for postoperative pain research to facilitate timely generation of evidence across multiple populations and settings.