2021 - 2023 Fellows in Clinical Informatics
Funded with generous support from the Stanford Departments of Medicine and Pediatrics.
Julian Genkins grew up in Charlotte, NC and stayed nearby to get an undergraduate degree in biology and computer science at Duke University. Following graduation he worked briefly as a software developer at Epic Systems in Wisconsin after which he completed medical school at Vanderbilt University and then an Internal Medicine residency at UCSF. He plans to practice in general internal medicine, specifically primary/urgent care, during fellowship
His interest in IT, programming, and data has only grown since his CS degree, and he is excited to re-engage with these passions on a professional level in the Stanford CI Fellowship. Among other areas in informatics, he is excited to leverage technology (the EHR) and data science to augment the daily cognitive processes of clinicians and use mobile apps/remote monitoring to drive patient behavior change around metabolic disease in primary care. He also enjoys teaching and curricular design, having acquired a certificate in health professions education through UCSF, and hopes to continue work developing curricula for core informatics competencies at all levels of medical training.
Naveed holds a BS in Electrical Engineering from Stanford University and an MD from Harvard Medical School. He trained in Pediatrics at the University of Washington and Seattle Children’s Hospital. His research interests are in non-invasive sensors, remote monitoring, and machine learning clinical prediction algorithms. At a systems level, he is interested in expanding informatics research infrastructure and leading medical technology innovation in pediatrics.
2020 - 2022 Fellows in Clinical Informatics
Funded with generous support from an unrestricted grant from Hewlett Packard, and by the Stanford Departments of Emergency Medicine, Medicine, and Pediatrics.
Drew received his BS in Biomedical Engineering from Texas A&M University and completed his medical degree at the University of Texas at San Antonio. He completed his residency in Pediatrics at UCLA. During residency, he pioneered projects involving an automated neonatal early onset sepsis calculator and system-wide school sports pre-participation evaluations. His further career interests are in creating novel clinical decision support tools and using telemedicine to expand access to healthcare both locally and internationally.
Originally from northern New Jersey, Seyi received his undergraduate degree in Economics from Harvard College and earned master's degrees from Harvard and Columbia. He worked for several years in the corporate sector and at the Environmental Defense Fund before earning his medical degree at the University of Chicago. He completed his residency in Internal Medicine at the University of North Carolina.
Dev grew up in Montreal, Canada, and received his MD from Baylor College of Medicine. He earned a Master's in Public Health from Harvard University School of Public Health. He has a significant quantitative sciences background (physics, epidemiology) and he initially began residency in neurosurgery but switched to Emergency Medicine to incorporate computer aided diagnostics. He has a strong interest in machine learning integrated into clinical pathways.
Arjun grew up in Lexington, Massachusetts before majoring in economics and computational biology at Cornell. He then took a job as a project manager for Epic Systems in Verona, Wisconsin. After two years, he moved to St. Louis for medical school at Washington University and completed his residency in Internal Medicine at Yale University.
Combined Fellows in Clinical Informatics
Amrita Sinha, MD (2018-2022)
Amrita’s academic journey began in India, where she was born, raised and went to Medical School. Her adventures continued in Cleveland for Pediatric residency and California for Pediatric Critical Care fellowship at Stanford. Her informatics interests include improving provider experience using the power and potential of clinical informatics.