Computational Cancer Community (C3)

The Computational Cancer Community (C3) was created to provide a forum for labs focused on cancer genomics and computational cancer biology and oncology to share their work and to get feedback and input. 

Upcoming Events

More about the C3

The C3 community is a group of faculty, labs, and trainees that broadly fits within computational cancer research such as cancer genomics, computational cancer biology, and cancer data science. Learn more in this Q&A with Franklin Huang, MD, PhD:

New Computational Cancer Community (C3) Provides Forum for Feedback, Collaborations


Computational Cancer Community Boot Camp 2026

The C3 Modern Data Science Boot Camp introduces participants to modern computation, statistics, machine learning, and AI, with instruction in the R programming language. Topics include R fundamentals, high-performance computing, GitHub and reproducible research, statistics, machine learning, and responsible use of AI coding assistants.

Schedule: 

  • R Programming sessions (Mission Bay): Every weekday ‌between Oct 26 - Oct 30, 4:00pm - 6:00pm
  • Data science sessions (Mission Bay): ‌Daily between Nov 2 - 6, 9:00am - 4:00pm

Eligibility: Targeted toward postdoctoral scholars and clinical fellows in cancer research, but anyone associated with UCSF is encouraged to apply. Previous Boot Camp participants are also welcome to apply.

Applications: APPLY HERE by Oct. 9; applicants will be notified by Oct. 13. Priority will be given to those who can commit to the full two weeks.

Contact: Please contact Edna Rodas with questions.  

About the Boot Camp

For its fourth year, the C3 Boot Camp is being reworked as the C3 Modern Data Science Boot Camp. Our goal is to help develop modern data scientists through instruction in computation, statistics, machine learning, and AI, all in the context of the R programming language. Topics will include:

  • Fundamentals of the R programming language
  • High-performance computing, including the new UCSF CoreHPC system
  • GitHub.com and reproducible research
  • Fundamentals of statistics
  • Introduction to machine learning
  • Responsible use of AI coding assistants

The C3 Modern Data Science Boot Camp is targeted towards postdoctoral scholars and clinical fellows in cancer research, but we encourage anyone associated with UCSF to apply. Given the Boot Camp’s new focus, previous participants may wish to participate again. Priority for admission will be given to participants who can commit to the full two weeks of instruction.

Program Schedule

The first week, focused on the R programming language, will be taught in person by the organizers at UCSF Mission Bay from 4–6 pm, October 26–30. The second week, covering all other Boot Camp topics, will be held in person at Mission Bay from 9 am–4 pm, November 2–6, with breakfast and lunch included. Mornings will include lectures from the organizers, while afternoons will focus on hands-on work related to topics already covered. More details can be found at https://ssc.ucsf.edu/c3ds/.

The deadline for the application is October 9.  Applicants will be notified of acceptance by October 13.

Sponsors and Organizers

The C3 Modern Data Science Boot Camp is free of charge to participants thanks to the generous sponsorship of the Helen Diller Family Comprehensive Cancer Center (HDFCCC) and the Bakar Computational Health Sciences Institute. The HDFCCC Computational Biology and Informatics (CBI) Shared Resource and the UCSF Scientific Software Core (SSC) developed the Boot Camp content.

Organizers:

  • Adam Olshen, PhD 
  • Stathis Gennatas, MBBS PhD
  • Henrik Bengtsson, PhD