Institutions · IISc Bengaluru · PHCCO · UT Austin · UC Irvine · Texas A&M · Stanford

• 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: 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.”
• Mohit K Jolly: “The Physics of Cancer — How Hybrid Cellular States Drive Metastasis, Resistance and the Case for Quantum-AI Systems Biology.”

Institutions · UT Austin · USC Viterbi · HD Medical SF · Bespoke Labs · UC Irvine

• Keynote Speaker 1: Charley Taylor: “The Collaboration Architecture — Building the Physician-Scientist Partnership That Changes Clinical Practice.”
• Speaker 1: 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: Mahesh Sathiamoorthy: AI training data infrastructure — data curation, RL environments for physician-scientist AI platforms.
• 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: John Lowengrub: “The Mathematical Engine — Personalized Predictive Models as the Science Inside Physician-Scientist Collaboration.”

• Speaker 5: Dr. Hongfang Liu (UT Austin): “Building the Data Backbone for Digital Twins — Translational AI and Real-World Evidence in Precision Oncology.”
• Speaker 4: “Why Drugs Fail Safely — Explainable AI as the Trust Layer Between Data Science and Clinical Practice.”

Institutions · Stanford · UT Austin · Moffitt Cancer Center · Takeda Oncology · MilliporeSigma

• Keynote Speaker 1: 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.”

• 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).”

Institutions · PHP · UBS · Hamilton Square Healthcare

Four parallel working groups.

• Group 1 — Alliances, Partnerships, Scientific Community & Translation. Facilitated by Swapna Pandey.
• Group 2 — Data & Research: Building & Nurturing the Physician-Scientist Collaboration. Facilitated by Charley Taylor & Alexander Anderson.
• Group 3 — Quantum–AI Systems Biology. Facilitated by Karen Willcox & Dr Debanu Das.
• Group 4 — AI & Drug Discovery — Lab to Community. Facilitated by Michael Fischbach & Melissa Landon.

Each breakout group presents back, followed by debrief.

• Group 1 — Alliances, partnerships, scientific community & translation (Swapna Pandey).
• Group 2 — Data & research: physician-scientist collaboration (Charley Taylor & Alexander Anderson).
• Group 3 — Quantum–AI Systems Biology (Karen Willcox & Dr Debanu Das).
• Group 4 — AI & Drug Discovery — Lab to Community (Michael Fischbach & Melissa Landon).