Computer Simulation
Albert L Williams Professor of Biomedical Informatics and Professor of Molecular Biophysics & Biochemistry, of Computer Science, and of Statistics & Data Science
Research InterestsAssociate Professor of Epidemiology (Microbial Diseases); Associate (Adjunct) Professor of Law, Yale Law School; Affiliated Faculty, Program in Addiction Medicine; Co-Director, Global Health Justice Partnership; Affiliated Faculty, Yale Institute for Global Health
Research InterestsAssistant Professor of Biostatistics; Co-Training Director, Health Informatics MS
Associate Professor of Psychiatry
Research InterestsAssistant Professor of Public Health (Health Policy)
Research InterestsAssistant Professor of Orthopaedics and Rehabilitation; Assistant Professor of Orthopaedics and Rehabilitation, Joint Reconstruction; Director of Technology and Innovation, General Orthopaedics
Research Interests- Biocompatible Materials
- Biomedical Engineering
- Computer Simulation
- Delivery of Health Care
- Engineering
- Health Services Accessibility
- Hematopoietic Stem Cells
- Hip Fractures
- Hip Joint
- Knee Joint
- Orthopedic Equipment
- Orthopedic Fixation Devices
- Orthopedics
- Osteonecrosis
- Robotics
- Stem Cells
- Patient Simulation
- Health Care Quality, Access, and Evaluation
- Health Status Disparities
- Healthcare Disparities
Associate Professor of Public Health (Health Policy); Affiliated Faculty, Yale Institute for Global Health
Research Interests- Artificial Intelligence
- Communicable Disease Control
- Communicable Diseases
- Computer Simulation
- Cost-Benefit Analysis
- Costs and Cost Analysis
- Decision Theory
- Decision Trees
- Drug Resistance, Microbial
- Game Theory
- Gonorrhea
- Health Priorities
- Health Resources
- Influenza, Human
- Mathematical Computing
- Mathematics
- Medical Informatics
- Meningitis
- Operations Research
- Sexually Transmitted Diseases
- Technology Assessment, Biomedical
- Tuberculosis
- Global Health
- Disease Transmission, Infectious
- Computational Biology
- Communicable Diseases, Emerging
- Public Health Informatics
- Epidemics
- Pandemics
- Machine Learning
- Data Science
- COVID-19