MMRF Immunity Workshop
? Friday, June 26, 2026
? 10:00 AM – 4:00 PM ET
? Hilton Newark Airport, 1170 Spring St, Elizabeth, NJ 07201
The MMRF Immunity Workshop: AI-Enabled Translational Approaches to Improving Clinical Outcomes in Multiple Myeloma will convene diverse community of clinical and data experts with the aim to advance data-driven strategies that refine the next-generation of therapeutics for multiple myeloma.
This workshop focuses on leveraging AI-enabled multi-omics integration to decode tumor and immune microenvironment in multiple myeloma and translate these insights into improved clinical outcomes. Sessions will address biomarker discovery and validation across diverse patient populations, computational and infrastructural solutions for large-scale data analysis. In addition to genomic integration and refined prognostic subtypes, the group will describe clinical integration of these data to inform potential treatment decisions and clinical trial design that incorporates rapidly emerging immune data.
Workshop Agenda
Friday, June 26, 2026
| Time | Session | Speakers |
|---|---|---|
| 10:00 – 10:10 am | Welcome & Workshop Objectives Align participants on workshop goals. | George Mulligan, PhD, MMRF Chuck Acharya, PSM PhD, MMRF |
| 10:10 – 10:20 am | Towards a Myeloma Data Commons Introduce MMRF Virtual Lab (VLAB) as the foundational data platform. | Alex Gout, PhD, MMRF |
| 10:20 – 10:50 am | AI/ML for Biomarker Discovery and Validation Explore AI/ML approaches for identifying and validating robust, clinically actionable biomarkers. | Justin Guinney, PhD, Tempus AI Roy Perlis, MD, MSc, Mass General Research Institute |
| 10:50 – 11:20 am | AI/ML Approaches for High Throughput Data Modalities Discuss AI-driven approaches to analyze, prioritize and classify diverse data types. | Alessandro Lagana, PhD, MSSM Ashita Batavia, MD, MS, Johnson and Johnson |
| 11:20 – 11:35 am | Bridging Multi-Omics: In Silico to In Clinico Highlight strategies for integrating multi-omics data and translating models into clinical insights. | Eric Letouzé, PhD, One Biosciences |
| 11:35 – 12:05 pm | Panel Discussion Effective use and application of AI/ML for Myeloma Immunogenomics. | George Mulligan, PhD, MMRF Roy Perlis, MD, MSc, Mass General Research Institute Mehmet Samur, PhD, Dana Farber Cancer Institute Ashita Batavia, MD, MS, Johnson and Johnson |
| 12:05 – 12:35 pm | ? Lunch | |
| 12:35 – 1:05 pm | Towards a Multiple Myeloma Data DREAM Challenge in 2026 | Dream Challenge Team, Gaia Andreoletti, PhD, Sage Bionetworks Commentary from MMRF |
| 1:05 – 1:45 pm | Insights from the Immune Microenvironment: MMRF Immune Atlas Network Summarize immune microenvironment insights across disease stages using Immune Atlas datasets. | Chuck Acharya, PSM PhD, MMRF Manoj Bhasin, PhD, MS, Emory University Li Ding, PhD, Washington University |
| 1:45 – 2:15 pm | Data-Driven Hypothesis Development Across Disease Progression Identify data-driven hypotheses to understand progression from precursor and indolent disease to malignancy. | Kylee Maclachlan, MBBCh, PhD, MSKCC David Coffey, MD, University of Miami |
| 2:15 – 3:00 pm | Panel Discussion
|
Madhav Dhodapkar, MBBS, Fred Hutch Cancer Center Brian Walker, PhD, University of Miami Larry Boise, PhD, Emory University Jonathan Keats, PhD, TGen David Avigan, MD, BIDMC |
| 3:00 – 3:10 pm | What is Cure in Multiple Myeloma? Cure Definition in Multiple Myeloma. | Francesco Maura, MD, MSKCC |
| 3:10 – 3:45 pm | Panel Discussion: Cures in MM – What is the Role of Genomics?
|
Francesco Maura, MD, MSKCC Saad Usmani, MD, MBA, FACP, FASCO, MSKCC Nizar Bahlis, MD, University of Calgary Ajay Nooka, MD, MPH, FACP, Emory University George Mulligan, PhD, MMRF |
| 3:45 – 4:00 pm | Roadmap and Next Steps Define scientific priorities, data needs, and collaborative next steps. | Hearn Cho, MD, PhD, MMRF George Mulligan, PhD, MMRF |
Thank You to Our Sponsor Partners
