Natalia Khuri, MBA, MSc, PhD | HOME | COURSES | PUBLICATIONS

Natalia Khuri is a machine learning practitioner, an interdisciplinary researcher and educator with a broad background in computer science, biomedical and healthcare data mining, applied machine learning, computer vision, and artificial intelligence. Currently, she teaches courses in artificial intelligence and directs educational programs in regulatory sciences at Stanford University and UCSF. Natalia holds an MBA, MSc. in Computer Science, and a PhD..

Department of Bioengineering Stanford University

  Department of Bioengineering and Therapeutic Sciences UC San Francisco   Center of Excellence in Regulatory Science and Innovation (CERSI)   Contact

updated 01/04/2018