Research Director

JASON DAVIES

MD, PHD

Dr. Jason Davies is Research Director at the Jacobs Institute. He is also 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 completed a fellowship in endovascular neurosurgery with UB Neurosurgery and specializes in cerebrovascular and skull base 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.

Bio

About JASON DAVIES

Dr. Jason Davies is Research Director at the Jacobs Institute. He is also 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 completed a fellowship in endovascular neurosurgery with UB Neurosurgery and specializes in cerebrovascular and skull base 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.

Dr. Davies graduated from Stanford University with a B.S. in Chemistry and a minor in Biological Sciences.  He has a significant research background in molecular and cell biology, studying neuronal exocytosis proteins. After graduation, he continued his work on exocytic proteins, shifting to a molecular and computational biophysics perspective. Jason was accepted into the MD/PhD program at Stanford, where he continued his thesis work. He wrote several papers elucidating the atomic structural details of exocytic proteins and developed new 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 developing computational methods in natural language processing and machine learning algorithms to find ways to mine electronic medical records data.

His active research interests focus on using bioinformatics tools to advance personalized medicine. He is working to develop 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 create more advanced machine learning and data analytic methods to better understand the insights contained within these rich data resources to better understand nuances of disease as well as which patients stand to benefit.

He has co-founded and grown several early stage medical device and medical informatics companies.  He has experience developing intellectual property, conducting early phase clinical device trials, and raising capital.

Dr. Davies is married with three energetic boys.  He loves cycling and skiing with his family.