Endoscopic Pituitary and Skull Base Surgery
Call: 617-732-8719
Email: cegilligan@bwh.harvard.edu
Overview
The Fellowship is designed for a one-year experience. This allows time for clinical and laboratory neuro-endocrine research, along with in- depth training in minimally invasive endoscopic surgical techniques in the operating room, and in the dissection laboratory.
Requirements
Fellows must have completed an ACGME accredited program or the equivalent in their home country. They must have a valid Massachusetts State Medical License.
Curriculum
This curriculum is designed to provide intensive training in the proper diagnosis and management of patients with pituitary disease as detailed in the Education Program. It also affords an opportunity for clinical and basic research based on our unique material, and to develop skills in the latest techniques and concepts of pituitary surgery. It is required that each fellow engage in research work that is suitable for publication and presentation at major neurosurgical or endocrinology meetings, conferences and workshops.
Research Experience
Fellows are expected to contribute meaningfully to academic scholarship.
The fellow is expected to contribute at least one scholarly work and submit at least one abstract to a national meeting.
How to Apply
Interested applicants please apply through the NASBS Neurosurgery Skull Base Fellowship Match.
Fellowship and Faculty Contact
Timothy R. Smith, MD, PhD, MPH
Neurosurgeon & Fellowship Director
trsmith@bwh.harvard.edu
Dr. Timothy R. Smith is the Director of the Endoscopic Skull Base and Pituitary Fellowship and Surgical Director of the Multidisciplinary Pituitary Center at Mass General Brigham, where he also serves as an Associate Professor of Neurosurgery at Harvard Medical School. A neurosurgeon-scientist trained in epidemiology and statistics, his clinical focus spans tumors of the brain and spine, with particular expertise in pituitary and skull base surgery. He directs the Computational Neuroscience Outcomes Center (CNOC), which leverages data science, machine learning, and advanced statistical analysis to optimize neurosurgical patient care and outcomes. He has published over 150 peer-reviewed journal articles and is an active member of leading societies including the North American Skull Base Society and the Pituitary Society.