AI X Tumor Evolution
Cancer evolves. Tumors change over time, adapt to treatment, and find new ways to survive.
Highlights
Our Research
We study the genomic and evolutionary mechanisms that drive cancer progression, with a focus on structural variation, 3D genome organization, and tumor evolution. By integrating multi-omics data and computational modeling, our lab aims to uncover actionable vulnerabilities for precision cancer therapy.
Our Projects
Non-coding DNA and epigenomic regulation We study how non-coding regulatory DNA elements shape epigenomic programs and influence tumor evolution.
Genomic archetypes of ovarian cancer We aim to define recurrent genomic architectures and evolutionary patterns in ovarian cancer.
Tumor evolution from pathology images We use machine learning on histopathology images to predict tumor evolutionary trajectories.
Our Team
Our lab is an open and collaborative space bringing together researchers from experimental and computational backgrounds. As a new and growing lab, we emphasize curiosity, mutual learning, and teamwork, and we warmly welcome members who are excited to explore cancer evolution together.