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 Speaker Profile

M.D., Ph.D., Co-Director of Cancer Genetics and Epigenetics, Johns Hopkins

Biography
Dr. Velculescu led the first genome wide sequence analysis in humancancers, identifying key genes and pathways dysregulated in tumorigenesis. He developed methods for global gene expression analyses and coined theword transcriptome" to describe the patterns that could now be obtained incancer and other cells. These analyses identified a variety of genes notpreviously known to be involved in neoplasia, including PIK3CA as one of the most highly mutated genes in human cancer. His team's discoveries haveled to new FDA approved therapies against PI3K and IDH1, and diagnostictests for comprehensive tumor profiling. More recently, his group hascreated noninvasive machine learning liquid biopsy approaches for earlydetection and monitoring of cancer patients. His work has provided newparadigms for understanding human cancer that have benefited patientsworldwide. He has been a Founder and CoCEO of Personal Genome Diagnosticsand is Founder and CEO of Delfi Diagnostics.


 Session Abstract – PMWC 2026 Silicon Valley

Track 3: Precision Dx - March 4 9.00 A.M.-5.00 P.M.


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
• Stephen Master, CHOP/U Penn
• 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
• Rita Shaknovich, Agilent
• Ajay Gannerkote, Integrated DNA Tech

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
• Anne Docimo, UnitedHealthcare
• Samuel Levy, ClearNote Health

Role of AI in Liquid Biopsies & Cancer Detection
• Chair: Amoolya Singh, DELFI Diagnostics
• Ron Andrews, Dxcover
• Pankaj Vats, NVIDIA

Fragmentomics for Early Detection: End Motifs and Library Prep
• Christopher Troll, Claret Bioscience

Integrating Genetic Risk with Early Detection: A Precision Prevention Framework for Cardiovascular Disease
• Giordano Botta, Allelica

Metagenomic Diagnostics & Global Pathogen Surveillance
• Charles Chiu, UCSF

AI-Driven Host–Pathogen Signatures from Plasma cfDNA: Bridging Infection Biology and Early Diagnostics
• Sivan Bercovici, Karius

Ultra-Sensitive Multimodal Liquid Biopsy for Early Cancer Detection: AI-Driven Signal Profiling
• John Sninsky, CellMax Life

AI-Enhanced Proteomic Signatures for Early Cancer Detection
• Diana Abdueva, Aqtual

• Sally Mackenzie, EpiMethyl Analytics

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