The AI for Healthcare Bootcamp provides Stanford students an opportunity to do cutting-edge research at the intersection of AI and healthcare. Over two quarters, students receive training from PhD students and faculty in the medical school to work on high-impact research problems in small interdisciplinary teams.

Projects resulting from the bootcamp have spanned multiple subspecialties (radiology, pathology, psychiatry, public health, metabolomics, bioengineering, embryology), problem formulations (diagnosis, prognosis, treatment, operations) and technologies (computer vision, natural language processing, causal inference).

Collaborators include faculty at Stanford Medicine and Engineering, UCSF, and Harvard.

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Teaching Team

Pranav Rajpurkar

PhD Student

Anand Avati

PhD Student

Andrew Ng

Professor

Collaborating Faculty

Nigam Shah

Professor

Matt Lungren

Professor

Curt Langlotz

Professor

Jeanne Shen

Professor

Sanjay Basu

Professor

Bhavik Patel

Professor

Kristen Yeom

Professor

Leanne Williams

Professor

Utkan Demirci

Professor

Gozde Durmus

Professor

Sidhartha Sinha

Professor

Catherine Hogan

Instructor

Sebastian Fernandez-Pol

Professor

Yaso Natkunam

Professor

Mitchell Rosen

Professor

Geoff Tison

Professor

David Kim

Professor

Andrew Beam

Professor

Applications

Students with a background in artificial intelligence, software engineering or medicine are encouraged to apply.

The applications for the Fall-Winter 2021-2022 bootcamp are now open.

Students have the option of pursuing the bootcamp whilst pursuing an internship if able to make the required time committment.

  • Early Applications due June 4th, 2021 at 11:59p PT.
  • Regular Applications due Aug 16th, 2021 at 11:59p PT.
  • Late Applications due Sep 15th, 2021 at 11:59p PT. Apply early to give yourself enough time to prepare for the interview.
  • Rolling interviews and selections until Sep 19th, 2021.
  • Bootcamp starts Sep 20th, 2021.

AI Specialization

This role is suited for students who have taken machine learning and software engineering courses. Students will be able to apply and sharpen these skills, developing machine learning solutions to challenging problems with the mentorship of CS PhD students and in collaboration with medical school faculty. Students have the opportunity to take a deep dive into healthcare and co-author a research paper. We expect students to have:

  • Taken machine learning courses (CS229/CS230/CS224N/CS231N or equivalent).
  • Proficiency in software engineering (CS107 or equivalent), and have done Python programming.
  • The bootcamp as their primary academic engagement (20-30 hours per week in lab) outside of 1 or 2 courses. We encourage students to sign up for research credits (CS 199, CS 399 etc).

Medicine Specialization

This role is suited for students in the medical school. Students will work to define the focus of projects by exploring previous work and clinical utility. Students have the opportunity to work closely with the medical school faculty, take a deep dive into AI, and co-author a research paper. We expect students to:

  • Have medical knowledge / clinical experience (candidates have taken step 1 and/or completed at least some clinical rotations).
  • Know deep learning and machine learning at a conceptual level.
  • Dedicate 10-20 hours per week and attend 2 research meetings per week. Students can sign up for research credits (MED 199, MED 399 etc).

Deployment Specialization

AI projects are not complete before their tangible impact is demonstrated in the real world. This is why usable and robust deployment is a key element of our research projects.

This role is suited for students who have taken human computer interaction and software development courses. Students will be able to apply and sharpen these skills, developing solutions to challenging problems at the intersection of AI and healthcare with the mentorship of CS PhD students, medical school faculty and software industry experts. Students have the opportunity to take a deep dive into healthcare and co-author a research paper. We expect students to have:

  • Proficiency in Python, Linux, Cloud Computing and JavaScript
  • Have taken one or more of CS140, CS142, CS147, CS 193A, CS194H, CS210, or CS247
  • The bootcamp as their primary academic engagement (20-30 hours per week in lab) outside of 1 or 2 courses. We encourage students to sign up for research credits (CS 199, CS 399 etc).

Bootcamp Cohorts

Healthcare Bootcamp Winter 2020-2021

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Grad Student

Daniel Michael

BS Student

Ekin Tiu

BS Student

Ellie Talius

BS Student

Niveditha Iyer

BS Student

Pujan Patel

BS Student

Raj Palleti

BS Student

Rehaan Ahmad

BS Student

Ryan Chi

BS Student

Tom Jin

MS Student

Healthcare Bootcamp Fall 2020-2021

Bryan Gopal

BS Student

Can Liu

MS Student

Emily Wen

BS Student

Gautham Raghupathi

BS Student

Mark Endo

BS Student

Nhi Truong Vu

PhD Student

Pranav Sriram

MS Student

Ryan Han

BS Student

Soham Gadgil

MS Student

Yujie He

MS Student

Healthcare Bootcamp Summer 2020

David Liu

BS Student

Derrick Li

MS Student

Niranjan Balachandar

Med Student

Pratham Soni

BS Student

Richard Wang

Grad Student

Stephanie Zhang

BS Student

Healthcare Bootcamp Spring 2019-2020

Adriel Saporta

MS Student

Alex Gui

MS Student

Alex Ke

MS Student

Andy Kim

MS Student

Ishaan Malhi

MS Student

Kevin Tran

BS Student

Rayan Krishnan

BS Student

Siyu Shi

Med Student

William Ellsworth

BS Student

Healthcare Bootcamp Winter 2019-2020

Akshay Smit

MS Student

Dahlia Radif

MS Student

Damir Vrabac

MS Student

Jiangshan Li

MS Student

Oishi Banerjee

MS Student

Saahil Jain

MS Student

Viswesh Krishna

BS Student

Zihan Wang

MS Student

Healthcare Bootcamp Fall 2019-2020

Anirudh Joshi

MS Student

Cheuk To Tsui

MS Student

Ethan Chi

BS Student

Gordon Chi

BS Student

Hari Sowrirajan

BS Student

John Peruzzi

BS Student

Keyur Mithawala

MSx student

Michael Zhang

MD

Nick Phillips

MS Student

Phil Chen

BS Student

Healthcare Bootcamp Spring 2018-2019

Ashwin Agrawal

PhD Student

Christian Rose

MD

Emma Chen

MS Student

Jon Braatz

MS Student

Jose Giron

BS Student

Kaushik Ram Sadagopan

MS Student

Rui Aguiar

MS Student

Yancheng Li

MS Student

Healthcare Bootcamp Winter 2018-2019

Anuj Pareek

MD

Chris Wang

BS Student

Jingbo Yang

BS Student

Mark Sabini

BS Student

Minh Phu

BS Student

Nathan Dass

MS Student

Vinjai Vale

BS Student

Healthcare Bootcamp Fall 2018-2019

Alex Wang

BS Student

Amirhossein Kiani

MS Student

Amit Schechter

BS Student

Andrew Kondrich

BS Student

Bora Uyumazturk

BS Student

Chloe O'Connell

Med Student

Jason Li

BS Student

Nishit Asnani

MS Student

Rebecca Gao

Med Student

Soumya Patro

MS Student

Healthcare Law Summer 2018

Bryan Casey

Law Student

Dan Beksha

Law Student

James Rathmell

Law Student

Zach Harned

Law Student

Healthcare Bootcamp Spring 2017-2018

Behzad Haghgoo

BS Student

Ben Cohen-Wang

BS Student

Chris Chute

MS Student

Joe Lou

BS Student

Kelly Shen

MS Student

Meng Zhang

MS Student

Michael Ko

BS Student

Nidhi Manoj

BS Student

Philip Hwang

BS Student

Robin Cheong

BS Student

Silviana Ciurea Ilcus

MS Student

Yifan Yu

MS Student

Healthcare Bootcamp Winter 2017-2018

Allison Park

MS Student

Andrew Huang

BS Student

Atli Kosson

MS Student

Chris Lin

MS Student

Erik Jones

BS Student

Henrik Marklund

MS Student

Jessica Wetstone

MS Student

Matthew Sun

BS Student

Michael Bereket

BS Student

Nicholas Bien

BS Student

Norah Borus

BS Student

Shubhang Desai

BS Student

Suvadip Paul

MS Student

Thao Nguyen

BS Student

Tanay Kothari

BS Student

Healthcare Bootcamp Fall 2017-2018

Aarti Bagul

MS Student

Brandon Yang

BS Student

Daisy Ding

MS Student

Hershel Mehta

MS Student

Kaylie Zhu

BS Student

Tony Duan

MS Student

We invite you to join the AI revolution in healthcare

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