Current Fellows

2024 - 2026 Fellows in Clinical Informatics

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

 

Aydin Zahedivash, MD, MBA

Aydin is a physician, educator, and engineer whose interests lie at the intersection of technology, health equity, and children’s health. Aydin completed his undergraduate degree in Biomedical Engineering at the University of Texas at Austin and went on to complete an MD and MBA at the University of Texas at Austin Dell Medical School and McCombs School of Business. He has over 10 years of experience in the medical technology space, having contributed as a researcher, mentor, inventor, and consultant in both the academic and private industry settings. He is a project coach and part of the teaching team within the Biodesign Digital Health Group and is leading a study exploring the role of the Apple Watch as an arrhythmia event monitor in children. He is currently a clinical informatics fellow and is passionate about designing digital solutions to integrate and distribute access to care. When not working, he can be found hiking, cycling, and is always trying to read more.

Kameron Black, DO

Dr. Black studied neuroscience and physiology at UC San Diego, followed by a master of public health degree at the University of Colorado and medical school at Rocky Vista University. During medical school, he co-founded the nation’s first longitudinal, cohort-based training program in undergraduate medical education for digital heath. His prior research affiliations include Harvard Medical School, Johns Hopkins University, and Massachusetts General Hospital. Over the past three years, he has co-authored publications in JMIR, Scientific Data, and Applied Clinical Informatics. He presented his work at AMIA CIC in 2022 and 2023. He is an Epic Physician Builder, and has completed the AMIA OHSU 10x10 course. He hopes to contribute to research at the intersection of machine learning and health equity.

Bethel Mieso, MD

Bethel Mieso was born in Addis Ababa, Ethiopia but grew up in the San Jose, CA. She completed her medical school at Case Western Reserve University School of Medicine. She completed her pediatric residency at Stanford during which time she was a Leadership Education in Advancing Diversity (LEAD) Program Scholar. Her informatics interests leveraging data to create innovative healthcare delivery solutions, developing and implementing digital tools to improve patient outcomes and experience, and optimizing EHR systems to reduce provider burnout.

2023 - 2025 Fellows in Clinical Informatics

Funded with generous support from the Stanford Departments of Emergency Medicine, Medicine, Pathology, and Surgery.

 

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.