The Irving Institute for Cancer Dynamics brings together researchers across biology, medicine, computation, engineering, and data science to better understand cancer and develop innovative approaches for prevention, diagnosis, and treatment.
Investigates the cellular, genetic, and evolutionary mechanisms that drive cancer initiation, progression, metastasis, and resistance to therapy.
Explores how the immune system recognizes and responds to cancer, with the goal of developing more effective immunotherapies and immune-based treatments.
Applies computational methods, statistical modeling, and large-scale data analysis to understand complex biological systems and biomedical data.
Develops algorithms, machine learning models, and artificial intelligence tools to solve problems in biology, medicine, and healthcare.
Studies the genetic, epigenetic, and molecular processes underlying normal biology and disease to uncover mechanisms and therapeutic targets.
Uses mathematical, computational, and experimental approaches to analyze how interactions within biological systems give rise to cellular and organismal behavior.
Creates innovative technologies, experimental platforms, and translational strategies to accelerate the application of scientific discoveries to clinical practice.