Current Fellows

2023 - 2025 Fellows in Clinical Informatics

Funded with generous support from the Stanford Departments of Medicine and Pediatrics.


April Liang, MD

April was born in the Bay Area but spent her childhood in Shanghai, China. She returned to the US and learned about both winter and Computer Science at Princeton University, where she received her BSE. She then completed medical school and Internal Medicine residency at UCSF. While there, she worked a machine learning model to predict incident delirium in hospitalized patients and EHR-based interventions to increase guideline-recommended public health screening. Within clinical informatics, her interests include closing the AI implementation gap in healthcare, clinical decision support, and data-driven quality improvement.

Alex Dussaq, MD, PhD

Alex Dussaq has a BS from University of Nevada, Reno. He completed medical school and a Ph.D. In informatics at University of Alabama at Birmingham. He completed residency in Pathology at Stanford  Hospital. He is simultaneously pursing fellowship training in breast pathology. He is interested anything lab, particularly image management systems for next generation whole slide image utilization.

Josh Villarreal, MD

Josh grew up in McAllen, Texas and is a first generation physician. He holds a B.S. in Human Biology from the University of Texas and M.D. from Baylor College of Medicine. Josh is currently a research resident in the General Surgery residency program at Stanford and is the first surgery resident to join the Clinical Informatics Fellowship. His informatics interests include leveraging AI with trauma video review quality improvement, computer vision in laparoscopic surgery and enhancing surgical education, and increasing accessibility of outpatient surgical services to underserved populations.

Dong Yao, MD

Dong Yao was born and raised in Japan before moving to the bay area. He holds a BA in Molecular & Cell Biology and Immunology from UC Berkeley, and an MD from the Mount Sinai School of Medicine. He completed his residency in Emergency Medicine at UCLA before moving back to the bay to pursue fellowship and clinical practice. His current interests in informatics include clinical throughput and operations optimization in the emergency department, EHR usability and experience, and is he is excited to explore new ways of bringing digital health technologies such as telemedicine and artificial intelligence into clinical practice to improve the provider/patient experience.

Shivam Vedak, MD

Shivam grew up in the Chicago suburbs. He completed his BS in Biology-Neuroscience at Penn State, before returning to Chicago for the MD/MBA dual-degree program at the University of Illinois at Chicago (UIC). He stayed at UIC for his Internal Medicine residency training, during which he led several EHR optimization and education efforts. He also won several health hackathons as leader of an international collaborative to improve COVID testing accuracy via machine learning and blockchain technology. He is passionate about education, digital health, and the practical implementation of novel technologies in the traditionally slow-moving health care industry. This includes improving the quality of medical education surrounding Clinical Informatics, artificial intelligence, and the business of medicine, to ensure that physicians have the appropriate knowledge to safely integrate emerging innovations into their clinical practice.

2022 - 2024 Fellows in Clinical Informatics

Funded with generous support from the Stanford Departments of Medicine and Pediatrics.


Nymisha Chilukuri, MD

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 Ma, MD, PhD

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 Lee, MD

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.