Developed novel computational methods to study cancer evolution, encompassing clonal dynamics (at the DNA level) and epigenetic adaptation; leveraged machine learning strategies to improve patient stratification in precision oncology and precision medicine.
Research Experience
Leads a computational oncology lab spanning several research directions in evolution, precision medicine, and oncology. Key research areas include Transcriptional Archetypes, single-cell resolution of clinically interpretable transcription programs, Evolutionary Models, and Medical Informatics.
Background
Focuses on researching the evolution of tumor cells, with a particular emphasis on metastatic tumors.