Speaker Profile
Ph.D., Professor of Medicine, Stanford
Biography
Christina Curtis, PhD, MSc is the RZ Cao Professor of Medicine, Genetics, and Biomedical Data Science, Senior Vice Chair of Research in the Department of Medicine and Director of AI and Cancer Genomics at Stanford School of Medicine. Dr. Curtis's laboratory leverages computational modeling, high-throughput molecular profiling and experimentation to develop new ways to diagnose, treat and prevent cancer. Her research has redefined the molecular map of breast cancer and led to new paradigms in understanding the origins of human cancers, as well as how they evolve and metastasize.
Dr. Curtis's accomplishments have been recognized by numerous awards, including the 2018 National Institutes of Health (NIH) Director's Pioneer Award, the 2022 American Association for Cancer Research (AACR) Award for Outstanding Achievement in Basic Science, the 2024 Brinker Award for Scientific Distinction in breast cancer research and 2024 AACR - Breast Cancer Research Foundation (BCRF) Award for Outstanding Achievement in Breast Cancer Research, as well as the 2025 European Society for Molecular Oncology (ESMO) Translational Award and the Paul Marks Prize for Cancer Research. She is a Susan G. Komen Scholar, a Chan Zuckerberg Biohub Investigator, and a Fellow of the American Association for Cancer Research (FAACR).
In addition to her research, Dr. Curtis is an influential voice in the scientific, clinical and biopharma communities. She is an advisor to multiple academic institutes, as well as to biopharma and biotech. She has served on the editorial boards of journals, spanning computational biology to precision oncology, including Science, Cancer Discovery and Molecular Cancer Research. Dr. Curtis was a member of the AACR Board of Directors and is the chair of the AACR Data Science Task Force. She is also active within several clinical trial and cooperative groups, including the Alliance for Clinical Trials in Oncology, and American College of Radiology Imaging Network (ECOG/ACRIN), where she leads translational bioinformatics.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Christina Curtis, Stanford
PMWC Award Ceremony
• W.E. Moerner, Stanford
• Serge Saxonov, 10x Genomics
• Priscilla Chan, Biohub
Honoree Fireside
• Christina Curtis, Stanford
• Priscilla Chan, Biohub
Honoree Fireside: From Measurement to Meaning: What Data AI Still Needs in Biology
• Christina Curtis, Stanford
• W.E. Moerner, Stanford
• Serge Saxonov, 10x Genomics
Unraveling Tissue Architecture with Single-Cell & Spatial Multi-Omics
• Chair: Garry P. Nolan, Stanford
• Joakim Lundeberg, SciLifeLab
• Tae Hyun Hwang, Vanderbilt University Medical Center
• Michael Angelo, Stanford
Spatial Sequencing for Next Generation Pathology
• Eli Glezer, Singular Genomics
Precision Profiling of Cells: Insights from Imaging-Spectral Flow Cytometry and Single-Cell Multiomics
• Aruna Ayer, BD
Single-Cell Genotype and Targeted Gene Expression Assay
• Zivjena Vucetic, Mission Bio
Resolving Cellular Lineage and State in Tumors with High-Resolution Single-Cell Genomics
• Gary Schroth, Cellanome
From Cellular State to Disease Gene Prediction at Population Scale
• Kyle Farh, Illumina
Tumor Evolution & Clonal Dynamics: From Models to Monitoring
• Christina Curtis, Stanford
Personal Omics at Scale: What Longitudinal Profiles Add to Early Detection
• Michael Snyder, Stanford
Multi-Omics-Driven Early Detection: Beyond Liquid Biopsy
• Chair: Alex Aravanis, Moonwalk Biosciences
• Ash Alizadeh, Stanford
• Sara Ahadi, OmicsEra
AI in Molecular Diagnostics: Integrating Multi-Omics & Clinical Data
• Chair: Marina Sirota, UCSF
• Olivier Gevaert, Stanford
• Rebecca Critchley-Thorne, Castle Biosciences
• Lihua Jiang, Stanford
• Yunguan Wang, Cincinnati Children's
