Training is an integral part of the Mobilize Center, helping to create the next generation of researchers who can speak the language of both data science and biomedical research. Through in-person and online courses, coupled with real-world training opportunities, we will equip students and researchers with skills to develop and apply data science tools that extract meaningful clinical and biological insights from the massive, heterogeneous, and often incomplete biomedical datasets being generated today.

The Mobilize Center offers a number of formal training opportunities:

In addition, the Mobilize Center will offer a range of informal learning opportunities from one-hour webinars and seminars to multi-day workshops and symposia. These events enable individuals at different stages in their careers and from different backgrounds to learn about data science approaches and their application to mobility research. Sign up for our mailing list to receive announcements about these events.

Distinguished Postdoctoral Fellowship Program

A main goal of the Mobilize Center’s Distinguished Postdoctoral Fellowship Program is to transform our Postdoctoral Fellows into interdisciplinary researchers. Fellows will come from a variety of backgrounds, including biomechanics and clinical mobility researchers seeking experience in data science, as well as data scientists interested in mobility research and other biomedical applications. They will be dually advised by Investigators from one of our health applications and one of the Data Science Cores, and will work in a location populated with individuals who vary in their biomedical and computational backgrounds, to facilitate sharing of cross-disciplinary skills and mindsets.

The program is modeled after the highly effective program run by the NIH-funded Simbios Center (42% of its alumni now hold faculty positions) and offers Fellows a unique training opportunity. Beyond the diverse, intellectually stimulating environment created by the Mobilize Center and Stanford University, Fellows will be able to take advantage of the Center’s numerous mentoring and teaching opportunities and participate in exchange programs with other NIH Big Data Centers of Excellence.

Graduate Student Training

The Mobilize Center will support several graduate students each year. These students will be jointly mentored by a data science faculty member and a biomedical faculty member, ensuring that their research is cross-disciplinary. Stanford University offers a rich learning experience in data science and biomedical research, with over 20 courses already in existence, and students will be able to attend these courses, as well as the many data science–related seminars offered through the Institute of Computational and Mathematical Engineering, Biostatistics, Computer Science, and the Mobilize Center.

Master’s of Science Degree

The Mobilize Center will partner with Stanford’s Institute of Computational and Mathematical Engineering on its data science track for its Master’s of Science in Computational and Mathematical Engineering Program. The Program requires students to build foundations in mathematics, algorithms, and high-performance computing. Electives to build domain specialization and provide practical experience round out the Program; the Mobilize Center will serve as one of the Program’s practical experience areas.


The Mobilize Center faculty have created a number of massive open online courses (MOOCs) for individuals interested in data science:

Other courses of interest that are offered at Stanford University include:

San Francisco State University Software and Research Internships

San Francisco State University (SFSU) is an underrepresented minority–serving institution and part of the California State University System. Its computer science students actively seek opportunities for hands-on software development and research experience. The Mobilize Center will introduce these students, who often come from diverse and disadvantaged backgrounds, to a biomedical software research environment and the latest advances in data science research through both summer internships and jointly advised Master’s thesis projects.