Dr. Sheshadri's group addresses fundamental questions in atmospheric dynamics and variability. Understanding atmospheric circulation could enable seasonal prediction of events such as cold snaps and heat waves, potentially impacting many lives.

Dr. Duncan's group studies genetic and environmental effects on mental health: much of their work is computational and relies upon genetic data collected from millions of individuals.

Dr. Chiu's laboratory aims to understand the mechanisms of pediatric solid tumors, precisely target the specific causes, and devise unique medical or surgical treatments for every child.

Dr. Guosong Hong's research aims to bridge materials science and neuroscience, and blur the distinction between the living and non-living worlds by developing novel neuroengineering tools to interrogate and manipulate the brain. Specifically, the Hong lab is currently developing ultrasound, infrared, and radiofrequency-based in-vivo neural interfaces with minimal invasiveness, high spatiotemporal resolution, and cell-type specificity.

Dr. Aghaeepour's lab develops machine learning/artificial intelligence methods to study the immune system in clinical settings.

The Angelo lab uses custom built high dimensional imaging technologies and computational approaches to understand the interplay between single cell phenotype and tissue histology in health and disease.

Dr. Itakura's research focuses on developing methods for integrative analysis of multi-scale cancer data to improve patient outcomes. She uses machine learning and radiogenomic approaches to accelerate discoveries in cancer diagnostics and therapeutics.

The long-term goal of the research in Dr. Tharin's lab is the repair of damaged corticospinal circuitry.

Dr. Kebebew’s translational and clinical investigations have three main scientific goals: 1) to develop effective therapies for fatal, rare and neglected endocrine cancers, 2) to identify new methods, strategies and technologies for improving the diagnosis and treatment of endocrine neoplasms and the prognostication of endocrine cancers, and 3) to develop methods for precision treatment of endocrine tumors.

Dr. Tartakovsky's interests in biomedical modeling include blood flow, hemodynamics, microcirculation, intracellular and intercellular transport, cell biology, and bioinformatics.