Speaker Profile
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 2027 Silicon Valley
Track Chair:
Serge Saxonov, 10x Genomics
PMWC Award Ceremony
• Sarah Teichmann, Wellcome Sanger Institute (Luminary)
• Aviv Regev, Genentech (Pioneer)
Featured Speakers
• Sarah Teichmann, Wellcome Sanger Institute
• Aviv Regev, Genentech
• Eric Lander, Broad Institute
• Gad Getz, Broad Institute
• Emma Lundberg, Stanford
• Garry Nolan, Stanford
• Nikhil Wagle, Genentech
• Satish Viswanath, Emory
• Alex Shalek, MIT / Broad Institute
• Christina Curtis, Stanford
• Fei Chen, Broad Institute
• Andy Beck, PathAI
• Kevin Wei, Harvard
• Rebecca Critchley-Thorne, Castle Biosciences
• Dan Rozelle, Rancho BioSciences
• Maximilian Strauss, OmicVision
The Next Map of Biology
From the Human Genome to the Human Cell Atlas in the AI era.
Spatial Biology in Practice
From tissue architecture to decisions that change the answer.
Spatial Proteomics
Cell states, therapeutic targets, and what can be measured in context.
Spatial Pathology from Discovery to Clinical Biomarker
Turning a beautiful image into a validated test.
AI for Spatial Biology
Foundation models, digital pathology, and tissue-scale interpretation.
Scaling Spatial Biology to Clinical Translation
From discovery platform to reproducible clinical evidence.
PMWC Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.