Dr. Jason Davies is an Assistant Professor of Neurosurgery and Biomedical Informatics at the State University of New York (SUNY) at Buffalo, where he joined the department in 2016. He completed residency training in the Department of Neurological Surgery at University of California, San Francisco. He specializes in cerebrovascular and skull base neurosurgery, first under the mentorship of Dr. Michael Lawton for his open training, and subsequently having completed a fellowship in endovascular neurosurgery with UB Neurosurgery. He has extensive experience treating aneurysms, arteriovenous malformations, cavernous malformations, and arteriovenous fistulae, stroke, carotid stenosis, cerebral bypass, and other vascular disease using both open and endovascular approaches, and is able to offer comprehensive care for his patients. He also has experience in management of intracranial tumors and skull base and pituitary disease using the latest technological advances in endoscopy and minimally invasive methods.

Dr. Davies graduated from Stanford University, where he obtained a BS in Chemistry with minors in Biological Sciences. He has a significant research background, starting with molecular and cell biology research in the lab of Dr. Richard Scheller studying the proteins involved in neuronal exocytosis. After graduation in 2001, he continued his work on exocytic proteins, shifting to a molecular and computational biophysics perspective in the lab of Dr. Bill Weis. Jason was accepted into the MD/PhD program at Stanford, where he continued his thesis work with Dr. Weis, culminating in several papers elucidated the atomic structural details of these proteins, as well as developing novel computational methods for studying dynamic protein structures at high resolution in real time. During the course of his residency, he spent a one-year post-doctoral fellowship with Dr. Adams Dudley developing computational methods in natural language processing and machine learning algorithms directed at finding ways to exploit the richness of data in electronic medical records.

His active research interests focus on using bioinformatics tools to advance personalized medicine. He is working to develop of bioinformatics tools to improve the quantity and quality of data available for medical research, and to lower barriers to entry for all clinicians to contribute to medical knowledge. Furthermore, he is working to bring to bear more advanced machine learning and data analytic methods to better understand the insights contained within these rich data resources. These tools in combination will help us to better understand nuances of disease, as well as which patients are most apt to benefit from the various therapies we can offer.

Dr. Davies is married with three energetic boys. He loves cycling and skiing with his family. He has co-founded and grown several early stage medical-related companies, including in the medical device and medical informatics realms. He has experience developing intellectual property, conducting early phase clinical device trials, and raising capital. He relishes working in technology-driven fields like endovascular neurosurgery and creating new solutions to address problems that impact human health.

Medical School
Stanford University School of Medicine

Graduate School
Stanford University School of Medicine, PhD Biophysics

Residency in Neurological Surgery
University of California, San Francisco, Department of Neurological Surgery

Fellowship in Neuroendovascular Surgery
University at Buffalo Neurosurgery, State University of New York at Buffalo

Physician Gender:

Male