• Opening Keynote — Dr Reinhard C. Laubenbacher (University of Florida): “From Molecules to Patients — Multiscale Digital Twins as Mathematical Biology’s Answer to Precision Oncology”
• Speaker 1 — Dr Marc R. Birtwistle: “Cancer Cell State Networks — Predicting Drug Combination Responses for Precision Oncology”
• Speaker 2 — Dr Ernesto Lima (UT Austin Oden Institute, Center for Computational Oncology): “Digital Twins for Precision Oncology — Simulating Treatment Response Before It Happens”
• Speaker 3 — Dr Jason T. George: “Stochastic Models of Tumour–Immune Interaction — How Mathematical Biology Predicts Cancer Immune Escape and Treatment Resistance”
• Closing Remarks — Dr Stacey Finley: “Drug Target Discovery in the Tumour Microenvironment — Computational Systems Biology Models for Predicting Immunotherapy Response”

• Dr Karen Willcox: “Engineering Trust into Biology: What Aerospace-Grade Digital Twins Teach Us About Quantum-AI Systems Biology”
• Dr Mohit K. Jolly: “The Physics of Cancer: How Hybrid Cellular States Drive Metastasis, Resistance and the Case for Quantum-AI Systems Biology”

• Keynote Speaker 1 — Dr Charley Taylor: “The Collaboration Architecture: Building the Physician-Scientist Partnership That Changes Clinical Practice”
• Speaker 1 — Mr Arvind T: “From Cardiac Signals to Cancer Biomarkers — How AI-Embedded Point-of-Care Diagnostics Can Scale Quantum-AI Cancer Detection to Every Community”
• Speaker 2 — Dr Emma Lundberg: Data simulation — real time
• Speaker 3 — Dr Debanu Das: “Atomic-Resolution Drug Target Discovery — How AI-Enhanced Structural Biology Identifies Precision Oncology Candidates That Computational Models Alone Cannot Find”
• Keynote Speaker 2 — Dr John Lowengrub: “The Mathematical Engine: Personalized Predictive Models as the Science Inside Physician-Scientist Collaboration”

• Dr Hongfang Liu (UT Austin): “Building the Data Backbone for Digital Twins — Translational AI and Real-World Evidence in Precision Oncology”
• Dr Prasun Mishra: “Why Drugs Fail Safely — Explainable AI as the Trust Layer Between Data Science and Clinical Practice”

• Keynote Speaker 1 — Dr Michael Fischbach: “LAB” — discover the drug from biology, powered by AI molecular simulation
• Speaker 1 — Dr Thomas Yankeelov: “From MRI to Treatment Decision: Cancer Digital Twins as the Clinical Bridge from Drug Discovery to Community Care”
• Speaker 2 — Dr Dean Bottino: “Quantitative Approaches to Optimizing Cancer Drug Dosing — From Pre-Clinical Modelling to Community-Scale Treatment Deployment”
• Speaker 3 — Dr Siva Vanapalli: “From Worm to Human: AI-Powered High-Throughput Screening as the Missing Link Between Computational Drug Discovery and Clinical Reality”
• Keynote Speaker 2 — Dr Alexander Anderson: “Adaptive Therapy: Mathematical Models That Carry Drug Discovery from the Lab to Every Patient”

• Mr Santiago Matheus: “Backing the Machine — How Investing in AI Drug Research Companies Builds the Capital Bridge from Lab Discovery to Community Impact”
• Dr Melissa Landon: “The AI Drug Discovery Platform Layer — How Computational Chemistry and Autonomous Labs Are Industrializing the Discovery-to-Deployment Pipeline”

Beyond the grant: impact investment (early stage).

Four parallel working groups.

• Group 1 — Alliances, partnerships, scientific community & translation. Facilitated by Mrs Swapna Pandey & Mrs Karen Kardos.
• Group 2 — Data & Research: Building & Nurturing the Physician-Scientist Collaboration. Facilitated by Mr Mahesh Sathiamoorthy & Dr Alexander Anderson.
• Group 3 — Quantum–AI Systems Biology. Facilitated by Dr Emma Lundberg & Mr Todd Kimmel.
• Group 4 — AI & Drug Discovery: Lab to Community. Facilitated by Dr Prasun Mishra & Dr Melissa Landon.

Presentation by each group.

Panel with Mr Navin Chaddha & Mr David Lewis.

Open to students from High School through PhD. Two themes, both built on Computer, by DevRev.

• Theme 1 — AI Agents for Computational Oncology
• Theme 2 — AI Agents for Quantum–AI Systems Biology