Shashank Nayak, MD, MPH

Undergraduate – Dartmouth College

Medical School – University of Texas Health Science Center at San Antonio

Internship (Internal Medicine) – University of Illinois Chicago

Residency – General Preventive Medicine and Public Health (Texas Department of State Health Services)

Masters in Public Health – Epidemiology (University of Texas at Houston – Austin Regional Campus)

Role in Fellowship Program – First year fellow

Research Interests – Clinical epidemiology, evidence-based medicine, clinical decision support, quality improvement, machine learning/AI 

Brief Description – Dr. Nayak’s interests in clinical informatics lie at the intersection of clinical epidemiology, implementation science, and quality improvement. With a background in internal medicine and preventive medicine, he is particularly focused on using informatics tools to identify, implement, and improve best practices in healthcare delivery. He is interested in exploring the use of Bayesian methods, machine learning, and AI—not as ends in themselves, but as practical tools to support decision-making and system-level improvements. Prior to fellowship, he contributed to the development of an AI Certification Course for the American College of Preventive Medicine. At MetroHealth, he looks forward to applying informatics to support evidence-based care, streamline workflows, and improve patient outcomes.