Speaker Profile
Biography
Dr. Curtis laboratory leverages data analytics, high-throughput molecularprofiling and experimentation to develop new ways to prevent, diagnose andtreat cancer. Her research has led to new paradigms in understanding howhuman tumors evolve and metastasize and has redefined the molecular map ofbreast cancer. She has been the recipient of numerous awards, includingthose from the V Foundation for Cancer Research, STOP Cancer, the AmericanAssociation for Cancer Research (AACR). She received the NationalInstitutes of Health Directors Pioneer Award in 2018 and was named an InVivo Rising Star in 2021. She is a Kavli Fellow of the National Academy ofSciences, a Susan G. Komen Scholar, and a Chan Zuckerberg BiohubInvestigator. In 2022, she received the AACR Award for OutstandingAchievement in Basic Science. She is a scientific advisor to multipleacademic institutes, biotech and biopharma, and is a member of the AACRBoard of Directors.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Victor Velculescu, Johns Hopkins University
PMWC Award Ceremony
• Klaus Pantel, University Medical Center Hamburg-Eppendorf / ELBS
• Daniel De Carvalho, University of Toronto
Keynote: Early Detection of Cancer by Multimodal Liquid Biopsy Analysis
• Klaus Pantel, UKE / ELBS
From Mutation to Methylation: The Next Wave of Liquid Biopsy Biomarkers
• Chair: Victor Velculescu, Johns Hopkins University
• Daniel De Carvalho, University of Toronto
• Manel Esteller, Sant Pau Research Institute
• Gordon Sanghera, Oxford Nanopore Technologies
Advancing Minimal Residual Disease Detection Through cfDNA & cfRNA Profiling
• Chair: Luis Diaz, Memorial Sloan Kettering Cancer Center
• Anne-Renee Hartman, Adela
• Klaus Pantel, UKE / ELBS
AI-Informed Biomarker Trials: Turning Early Signals into Actionable Designs
• Chair: Manish Kohli, University of Utah
• Luis Diaz, MSKCC
• Eric Klein, GRAIL
• Peter Bach, DELFI Diagnostics
• Samuel Levy, ClearNote Health
Role of AI in Liquid Biopsies & Cancer Detection
• Chair: Amoolya Singh, DELFI Diagnostics
• Matthew Baker, Dxcover
• Pankaj Vats, NVIDIA
Fragmentomics for Early Detection
• Varsha Rao, Claret Bioscience
Integrating Genetic Risk with Early Detection
• Giordano Botta, Allelica
Metagenomic Diagnostics & Global Pathogen Surveillance
• Charles Chiu, UCSF
AI-Driven Host–Pathogen Signatures from Plasma cfDNA
• Sivan Bercovici, Karius
Ultra-Sensitive Multimodal Liquid Biopsy for Early Cancer Detection
• Atul Sharan, CellMax Life
AI-Enhanced Proteomic Signatures for Early Cancer Detection
• Diana Abdueva, Aqtual




