Medical AI Bootcamp

Program

Students typically co-author manuscripts and frequently earn first-author positions.

Specializations

• AI SPECIALIZATION

  Stanford, Harvard, MIT, and Yale students

  • Practical machine learning knowledge
  • Python coding proficiency
  • 2 semesters/quarters commitment
  • Interview assesses programming skills

  Undergraduates and graduate students welcome. We expect A grades in relevant coursework.

• MEDICINE SPECIALIZATION

  MDs or equivalent worldwide

  • Medical degree (MD or equivalent)
  • Clinical experience preferred
  • Interest in AI applications

  Particular interest in radiology specialists, but all specialties welcome.

Structure

Recent Projects

• Nature Biotechnology 2026Vishwanatha M. Rao
  Generalist Biological AI

  Generalist biological artificial intelligence for modeling the language of life.

• CHIL 2026Minjia Wang

  Clinically Grounded RL for Acute Care Notes

  Open-ended clinical text generation for acute care, using reinforcement learning with clinically grounded rewards.

• CHIL 2026Xucheng (David) Wang
  ReXSonoVQA

  Video QA benchmark for procedure-centric ultrasound understanding.

• CVPR 2025Alice Heiman
  FactCheXcker

  Mitigating measurement hallucinations in chest X-ray report generation models.

In Their Words

• The bootcamp provided an incredible opportunity to work on cutting-edge medical AI research. The mentorship was exceptional, and I was able to publish my first paper as a first author.

  — Katherine Tian, Harvard Undergraduate

  First-author publication, now Research Associate at Stanford

• Working with the Rajpurkar Lab gave me hands-on experience with real clinical datasets and the skills to bridge AI and healthcare. The structured program helped me develop as an independent researcher.

  — Kathryn Wantlin, Visiting Graduate Fellow

  Now PhD Student at Princeton

• The bootcamp accelerated my growth in machine learning while giving me exposure to impactful healthcare applications. The collaborative environment and weekly meetings kept me motivated throughout.

  — Alyssa Huang, Harvard Undergraduate

  Now Software Engineer at OpenAI