Computational Approaches to the Optimization of Dose and Schedule
Continue to learn about the cutting edge of computational immuno-oncology through a partnership between NCI and the Society for Immunotherapy of Cancer (SITC)!
In this webinar, Dr. Robert Jeraj of the University of Wisconsin-Madison and Dr. Matthew Reilley from the University of Virginia present computational approaches to the optimization of dose and schedule.
This SITC-NCI Computational Immuno-Oncology Webinar is the fifth course of eight, one-hour-long webinars designed to educate early-career scientists on computational immuno-oncology, increase participants’ awareness of and engagement in NCI-supported Cancer MoonshotSM Immunotherapy Networks, and fulfill the Blue Ribbon Panel’s goal of accelerating progress in cancer research.
Dr. Jeraj is a professor at the University of Wisconsin-Madison with a focus in medical physics and human oncology.
Dr. Reilley is an assistant professor at the University of Virginia with a focus on understanding how to make immunotherapies more effective in gastrointestinal cancers.
Upcoming Events
- Assessing the Tumor Microenvironment with Systems Immunology: Computational Science in Immuno-oncologyAugust 21, 2025Data Jamboree: Enhancing Childhood Cancer Data Sharing and UtilitySeptember 29, 2025 - September 30, 2025NCI Office of Data Sharing’s Annual Data Sharing Symposium 2025: How Data Advances the Impact of Cancer ResearchSeptember 30, 2025 - October 01, 2025Childhood Cancer Data Initiative (CCDI) Symposium 2025October 06, 2025 - October 07, 2025Eleventh Computational Approaches for Cancer Workshop 2025 (CAFCW25)November 17, 2025