Data science holds the key to unlocking unprecedented insights in the life sciences, paving the way for transformative advances in the treatment and prevention of a multitude of diseases. I am thrilled to partner with BEVC to bring this vision to life.
Christina Curtis, PhD, MSc is the RZ Cao Professor of Medicine, Genetics, and Biomedical Data Science and Director of AI and Cancer Genomics at Stanford University. Combining computational modeling and high-throughput molecular measurements, her research has led to new paradigms in understanding how human tumors develop and progress and has redefined the molecular map of breast cancer.
Christina has been the recipient of multiple awards, including the NIH Director's Pioneer Award and the American Association for Cancer Research (AACR) Award for Outstanding Achievement in Basic Science. She is a Susan G. Komen Scholar and a Chan Zuckerberg Biohub Investigator.
In addition to her research, Christina is an influential voice in the scientific and biopharma communities. She serves on the editorial boards of multiple academic journals, including Science and Cancer Discovery and is a member of the AACR Board of Directors. She advises several early-stage biotech and public biopharma companies, including Genentech and Pfizer. Her work is driven by a passion for translating scientific discoveries and technological innovations into tangible benefits for human health.