Innovate Cancer Data Science Symposium

8 – 8:30 a.m. Coffee, Event Check-In

8:30 – 8:40 a.m. Welcome Remarks
Robert L. Ferris, MD, PhD

Session 1: Genomics in Precision Oncology

8:40 – 8:45 a.m. Session Introduction
Charles Perou, PhD

*8:45 – 9:15 a.m. “Building a Data Science Department in a Research Institution”
Keynote Speaker: Rafael Irizarry, PhD, Harvard T.H. Chan School of Public Health

9:15 – 9:30 a.m. “Leveraging AI in Modern Biomarker-Driven Clinical Trial Design: The ARPA-H ADAPT Program”
Naim Rashid, PhD

9:30 – 9:45 a.m. “Implementing Precision Oncology in Clinical Practice”
Shetal Patel, MD, PhD

9:45 – 10 a.m. “Incorporating Large Language Model-Derived Information into Hypothesis Testing for Cancer Genomics”
Didong Li, PhD

10 – 10:15 a.m. “Large Language Model-Driven Next-Generation Analytics for Cancer Omics”
Jun Li, PhD

10:15 – 10:30 a.m. Panel Discussion (Facilitated by Perou)

10:30 – 10:40 a.m. Break

Session 2: Improving Care Quality with Oncologic Learning Systems

10:40 – 10:45 a.m. Session Introduction
Louise Henderson, PhD, MSPH

*10:45 – 11:15 a.m. “Multimodal AI for Clinical Decision Support and Cancer Biology”
Keynote Speaker: Sylvia Plevritis, PhD, Stanford University

11:15 – 11:30 a.m. “Closing the Cancer Data Gap with Language Learning Models and Multimodal AI”
Caroline Thompson, PhD, MPH

11:30 – 11:40 a.m. “Developing a Reinforcement Learning-powered Dyadic JITATI for Post-HCT Patients”
Ziping Xu, PhD

11:40 – 11:50 a.m. “Leveraging Electronic Health Record Data to Predict Risk of Near-Term Death Among Patients with Metastatic Breast Cancer”
Emily Ray, MD, PhD

11:50 a.m. – 12 p.m. “Wayfinding to Predict and Prevent Acute Care Events in Oncology”
Jacob Stein, MD, MPH

12 – 12:15 p.m. “Designing Data Science for Real-World Care”
Jennifer Elston-Lafata, PhD

12:15 – 12:30 p.m. Panel Discussion (Facilitated by Henderson/Elston-Lafata)

12:30 – 1:30 p.m. Lunch

Session 3: Image Data in Precision Oncology in Medicine

1:30 – 1:35 p.m. Session Introduction
Melissa Troester, PhD, MPH, and Katherine Hoadley, PhD

*1:35 – 2:05 p.m. “Developing End-to-End AI Systems for Diagnostic Hematology and Pathology”
Keynote Speaker: Gregory Goldgof, MD, PhD, MS, Memorial Sloan Kettering Cancer Center

2:05 – 2:20 p.m. “Moving Artificial Intelligence Algorithms for Pathology Closer to the Clinic by Addressing Technical Barriers to Scale”
Iain Carmichael, PhD

2:20 – 2:25 p.m. “AI-Driven Prognosis from Routine Pathology”
Ataraxis Lightning Talk: Anna Miller, PhD

2:25 – 2:40 p.m.  “Mitigating Batch Effects in Histopathology via Language-Mediated Embedding Generation”
David Zhang, PhD

2:40 – 2:50 p.m. Break

*2:50 – 3:20 p.m. “Data Driven Oncological Imaging: Moving Beyond Pixels to Precision, Prognosis and Prediction”
Keynote Speaker: Yueh Lee, MD, PhD, UNC Lineberger Comprehensive Cancer Center

3:20 – 3:35 p.m. “Predictive Multimodal AI Models Using Imaging and Electronic Health Record Data”
Ashok Krishnamurthy, PhD

*3:35 – 3:50 p.m. “From Pixels to Patients: Foundation Models and Generative AI to Read Pathology Slides, Decode Tumor Immunity and Predict Clinical Outcomes”
Keynote Speaker: Carlo Bifulco, MD, Providence Genomics

3:50 – 4:05 p.m. Panel Discussion (Facilitated by Troester/Hoadley)

4:05 – 4:10 p.m. Closing Remarks
Jeremy Rich, MD, MHS, MBA

4:15 – 6 p.m. Poster Session – Sponsored by Ataraxis and Reception

• Robert Ferris, MD, PhD
• Charles Perou, PhD
• Naim Rashid, PhD
• Shetal Patel, MD, PhD
• Didong Li, PhD
• Jun Li, PhD
• Louise Henderson, PhD, MSPH
• Jennifer Elston Lafata, PhD
• Caroline Thompson, PhD, MPH
• Emily Ray, MD, MPH
• Jacob Stein, MD, MPH
• Ziping Xu, PhD
• Melissa Troester, PhD, MPH
• Daiwei (David) Zhang, PhD
• Iain Carmichael, PhD
• Ashok Krishnamurthy, PhD
• Jeremy Rich, MD

• Ataraxis (poster session sponsor)
• Tempus
• UNC Center for Environmental Health and Susceptibility
• UNC Gillings School of Global Public Health
• UNC School of Data Science and Society