Ludmil B Alexandrov

Ludmil Alexandrov is a Professor at the University of California, San Diego, with joint appointments in the Departments of Bioengineering and Cellular and Molecular Medicine. His research focuses on leveraging large-scale omics datasets to decipher the mutagenic and non-mutagenic processes that underlie cancer initiation and progression. He is best known for developing the concept of mutational signatures—distinct patterns of DNA mutations that reveal the causes of cancer—and for demonstrating their utility across a wide range of cancer types.
Alexandrov’s work integrates cutting-edge machine learning with experimental biology to build a predictive understanding of the molecular processes driving cancer. His long-term goal is to translate this knowledge into actionable strategies for cancer prevention and precision treatment. He is also deeply committed to advancing the use of AI in oncology to reduce inequalities in cancer detection, diagnosis, and care delivery worldwide.