School of Medicine
Showing 401-500 of 939 Results
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Fikunwa Kolawole
MD Student with Scholarly Concentration in Bioengineering / Cardiovascular-Pulmonary Sciences, expected graduation Spring 2028
BioFikunwa is a mechanical engineering Ph.D. candidate in the cardiovascular Magnetic Resonance Lab (Ennis Lab) in the Stanford Radiology Department. His research, which is at the intersection between medicine and engineering, is focused on developing mechanics-based clinical biomarkers for heart disease. Through his research, he aims to establish a comprehensively validated and clinically viable tool for estimating in vivo heart tissue stiffness to better understand and manage heart failure.
He began his academic journey as a mechanical engineering undergraduate student at Howard University during which time he also worked as a researcher at the FDA’s department of applied mechanics, characterizing the mechanical response of metals used in implantable cardiovascular devices. At Howard, he also supported research in the Applied Mechanics and Materials Lab and Biosensors Lab, as an undergraduate research assistant. Upon completing his undergraduate studies, in 2019, he joined Stanford University’s mechanical engineering department. He is also affiliated with the Radiology departments at Stanford and the Veterans Administration Palo Alto Health Care System. He is deeply passionate about empowering minority students to pursue STEM careers. Additionally, he is a fellow of the Bio-X, Stanford’s Interdisciplinary biosciences institute -
Joshua Isaac Leaston, BS
MD Student with Scholarly Concentration in Bioengineering / Neuroscience, Behavior, and Cognition, expected graduation Spring 2026
BioJoshua Isaac Leaston is a MD candidate with a concentration in bioengineering and application in Neuroscience, behavior, and cognition in the Stanford University School of Medicine. A member of the entering class of 2021, Joshua holds a degree in Neuroscience with a minor in Health Science and has received various academic excellence awards and scholarships.
His research interests include the development of quantitative neuroimaging methodologies for neurosurgical and radiological outcome improvement. He has also received a research fellowship from a Boston based neuroimaging organization and MedScholars funding for his research on neuroimaging methodologies. This is further augmented by a Stanford-based seed grant, enabling him to delve into the investigation of disparities in outcomes of image-guided procedures within high-risk patient populations nationwide.
In addition to his academic pursuits, he is also the co-founder of a company focused on addressing disparities in skin cancer through advanced imaging, which has been recognized through the Stanford Biodesign NEXT award and eWEAR.
Further, he is dedicated to raising awareness around the intersectionality between the unhoused community and medicine. Joshua co-founded a nonprofit dedicated to supporting unhoused individuals, where he has raised funding to sustainably support the cause since 2019.
Joshua has also demonstrated his dedication to advancing science and medicine through several presentations, including a talk at Tufts Medicine on barriers in medical school enrollment for minorities and a presentation at Northeastern University on "How to Build a Nonprofit." He has presented at conferences such as Rise, KTGF, SPINE, RSNA, ACR, ASNR, AANS, ISMRM, and the AMEC-SNMA conference, and has published in peer-reviewed journals.
In conclusion, Joshua Isaac Leaston's academic excellence, research contributions, and dedication to social causes showcase his strong potential to become a compassionate and impactful physician scientist. -
Evan Lee
Masters Student in Physician Assistant Studies, admitted Autumn 2022
BioEvan grew up in the San Francisco Bay Area and completed his B.S. Physiological Sciences at UCLA. After undergrad, he worked as a medical assistant at a Bay Area allergy clinic, as well as an optometric assistant in Palo Alto before attending Stanford University to begin his Master's education in Physician Assistant Studies.
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Daniel Dan Liu
MD Student, expected graduation Spring 2025
Ph.D. Student in Stem Cell Biology and Regenerative Medicine, admitted Autumn 2020
MSTP Student
Ph.D. Minor, Computer ScienceBioDaniel received his bachelor's in molecular biology from Princeton University in 2018. His undergraduate research, conducted under the mentorship of Dr. Yibin Kang, centered around cancer metastasis and cancer stem cell biology. He is currently an MD-PhD candidate in the lab of Dr. Irving Weissman, where he researches human neural stem cells and primary brain malignancies.
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Junjie Lu
Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2023
BioJunjie's research is centered on the social determinants of minority health, epidemiological methods, and clinical effectiveness. He is deeply committed to understanding the health disparities faced by minority populations. His clinical background helps bridge the gap between research and practical application, aiming to improve healthcare outcomes in real-world settings.
Junjie Lu earned a Master of Public Health degree from the Harvard T.H. Chan School of Public Health, where he concentrated on Health and Social Behavior. He also holds an MBBS and an MS from Shanghai University of Traditional Chinese Medicine. Junjie gained practical experience as an intern doctor at a university hospital for two years, during which he led a pilot randomized controlled trial on the effects of acupuncture on depressive symptoms. -
Cassie Ann Ludwig, MD, MS
Assistant Professor of Ophthalmology (Research/Clinical Trials)
Masters Student in Biomedical Data Science, admitted Autumn 2023Current Research and Scholarly InterestsMy research at present focuses on better understanding high and pathologic myopia and their retina sequelae (retinal detachments, myopic traction maculopathy, myopic macular degeneration) through informatics and data-driven research. My goal is to make discoveries within the field of Ophthalmology that will impact the rest of medicine, taking advantage of our ready access to the only visible portion of the central nervous system.
