Artificial Intelligence | April 8–10, 2019 | Boston, MA USA

Kevin Elias, MD

  • Director, Gynecologic Oncology Research Laboratory, BWH; Assistant Professor, HMS,

Kevin Elias, MD, is a surgeon, laboratory scientist, inventor, and technologist. He currently serves as the Director of the Gynecologic Oncology Laboratory at Brigham and Women’s Hospital, Assistant Professor at Harvard Medical School, and as a visiting faculty member at the Koch Institute for Integrative Cancer Research at Massachusetts Institute of Technology. Dr. Elias completed his undergraduate work at Harvard College and received his M.D. degree from Vanderbilt University School of Medicine.  He completed a residency in Obstetrics and Gynecology in the Brigham and Women’s Hospital – Massachusetts General Hospital Integrated Residency Program, followed by a research fellowship focused on epigenetics at the Dana-Farber Cancer Institute, two clinical fellowships at Brigham and Women’s Hospital in Anesthesia Critical Care Medicine and Gynecologic Oncology, and post-doctoral work in materials science and nanotechnology at MIT. Dr. Elias’s research revolves around using orthogonal approaches to solving complex systems problems, both in the clinic as well as the laboratory. Examples include combining machine learning, transgenic mouse models, and next generation sequencing technologies to produce models for early diagnosis of ovarian cancer; creating patient-facing mobile applications combined with clinical pathway auditing software to reduce opioid prescribing after oncologic surgery; and using nanotechnology to deliver gene-editing programs for precision oncologic medicine.

 

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