Dr. Ashwin Nayak

Assistant Professor

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Biography

Ashwin Nayak, M.D., M.S. is a Clinical Assistant Professor in the Department of Medicine at Stanford University. He completed his M.D. at the University of Illinois at Chicago College of Medicine and his residency in Internal Medicine at Stanford University. Dr. Nayak holds a master's degree in Clinical Informatics Management from Stanford University, where he also achieved board certification in Clinical Informatics through the American Board of Preventive Medicine. His academic focus lies at the intersection of clinical informatics and internal medicine, particularly in the realm of machine learning and digital health. He has contributed to multiple prestigious journals, including JAMA Internal Medicine and Nature Digital Medicine, with research primarily centered on conversational AI and large language models. Dr. Nayak is currently engaged in clinical trials investigating AI-enabled smart speaker devices aimed at improving insulin management for patients. He is committed to advancing digital therapeutics and exploring innovative approaches to enhance patient care in diabetes management.

Research Interests

Experience

Clinical Assistant Professor

— Present

Stanford University • Stanford, CA

Works as a Clinical Assistant Professor in the Department of Medicine, focusing on clinical informatics and internal medicine.

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.