Teaching Team

Pranav Rajpurkar

PhD Student

Anand Avati

PhD Student

Jeremy Irvin

MS Student

Tony Duan

MS Student

Andrew Ng

Professor

Nigam Shah

Professor

Matt Lungren

Professor

Curt Langlotz

Professor

Jeanne Shen

Professor

Sanjay Basu

Professor

Bhavik Patel

Professor

Kristen Yeom

Professor

Description

Over the course of Fall Quarter 2018, our bootcamp will cover a large breadth of topics at the intersection of artificial intelligence and healthcare. Students will take a dive into cutting-edge research in radiology, pathology, electronic health records, mental health, and public health, working closely with Ph.D. students and each other.

Timeline

  • Applications due TBD.
  • Interviews and selections TBD.
  • Bootcamp starts first day of Fall Quarter.

Requirements

  • Must be a full-time Stanford student.
  • Should have taken CS229/CS230/CS224N/CS231N or equivalent.
  • Proficiency in Python.

Commitment

  • Be able to register for 6 or more independent research units for this bootcamp. This level of commitment is not consistent with working as an RA or on other research projects simultaneously. However, we promise you will learn a lot from this experience.
  • Be present at the bootcamp venue 5+ hours per day every day.
  • Continue AI Research in the lab in Winter 2018-2019.

Previous Cohorts

We invite you to join the AI revolution in healthcare

Through your work in this program, we hope that you will improve human health, and perhaps even save countless lives.

Apply To Bootcamp