2022 - 2024 Fellows in Clinical Informatics
Funded with generous support from the Stanford Departments of Medicine and Pediatrics.
Nymisha Chilukuri grew up in Toronto, Canada. She has a BS from University of Toronto. She completed her medical school, residency in Pediatrics and fellowship training in General Academic Pediatrics at Johns Hopkins University School of Medicine, during which time she was an Armstrong Institute Patient Safety and Quality Scholar. Her operational and research interests are to use clinical informatics to improve access to equitable care for children with chronic conditions in underserved communities.
Stephen was born and raised in Utah. He went to Princeton for college and majored in Electrical Engineering. He then went to Columbia University for his MD/PhD where his doctoral work focused on cardiac tissue engineering with an emphasis on human stem-cell derived models of disease and resulted in multiple grants, presentations, publications, and patents. He then moved across the country to Stanford where he completed his residency in Internal Medicine. As a CI fellow, he is interested in developing novel digital-first approaches to healthcare as well as integrating clinical decision support into existing workflows.
Julie grew up in Los Angeles. She holds a BA in Psychology from Columbia University and a MPH in Chronic Disease Epidemiology from Yale. After completing medical school at The State University of New York at Buffalo she came back to the best coast (as she missed the sun) and finished Internal Medicine residency at UC Riverside.
Currently, her informatics interests include optimization of physician workflow, reducing cognitive load/burnout, integration of AI in decision support, and improving interoperability. She is particularly interested in cardiovascular disease and women's health research.
2021 - 2023 Clinical Informatics Fellows
Funded with the generous support of 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.