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

Natalia Khuri is a machine learning practitioner, an interdisciplinary scientist and educator, with a broad background in computer science, operations research, and data mining. Currently, she directs education and training programs in regulatory sciences at Stanford University and UCSF. Natalia holds an MSc. in Computer Science, MBA, and a PhD in Biophysics.

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 08/18/2017