Speaker Profile
Ph.D., Chief Science Officer, EpiMethyl Analytics
Biography
Dr. Mackenzie founded the BioIT company Epimethyl Analytics in 2024 for commercial application of a unique DNA methylation decoding system in early stage disease diagnostics. The Epimethyl platform achieves highly accurate detection of several diseases, with cancer as current focus. Originating in Mackenzie's academic lab, the system has been extensively tested and validated in a model system, and data are being readied for FDA clinical trials. Dr. Mackenzie was previously the Lloyd and Dottie Huck Chair for Functional Genomics at Penn State University (2017-24), Ralph and Alice Raikes Distinguished Chair at the University of Nebraska (2000-17), and Professor of Genetics at Purdue University (1988-2000)
Genomic Profiling Showcase:
EpiMethyl Analytics
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
• 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
Overcoming Limits of Traditional cfDNA Assays Using Active Chromatin
• Diana Abdueva, Aqtual
• Sally Mackenzie, EpiMethyl Analytics
