Our Team

Leads research on imaging biomarkers for cancer, obesity, and osteoporosis using advanced machine learning. Directs the Hawaiʻi Pacific Islands Mammography Registry and has been continuously NIH-funded since 2005.

Professor of Quantitative Health Sciences and Director of the Bioinformatics Core at JABSOM. His work centers on bioinformatics, genomics, and systems biology for precision cancer medicine and cancer health disparities.

Assistant Professor and Bioinformatics Data Scientist at JABSOM. Her research focuses on genetic biomarkers for cancer early detection and prognosis and on cancer health disparities in multiethnic populations.

Associate Professor of Information & Computer Sciences at UH Mānoa, applying machine learning and deep learning to challenging problems across the natural sciences — from cancer to climate.

Associate Professor and Associate Director for Community Outreach and Engagement at the UH Cancer Center. He uses community-based participatory research to address cancer prevention and control in populations facing health disparities.

Physician-scientist and gastrointestinal medical oncologist at the UH Cancer Center. Her translational research focuses on GI malignancies and the mechanisms driving metastasis and therapeutic resistance.

Assistant Professor at JABSOM whose lab studies cardiac and stem cell biology, heart regeneration, and functional genomics, aiming to develop therapies for congenital and congestive heart diseases.

Assistant Professor of Epidemiology and Data Science at UH Mānoa. An epidemiologist specializing in causal inference, perinatal and pediatric epidemiology, and molecular biomarkers.

George A. Weiss University Professor at the University of Pennsylvania and a leading health-behavior and cancer-prevention researcher. She directs the UPenn Prevention Research Center.

Surgical oncologist and Professor of Surgery and Pharmacology at UNC-Chapel Hill, where she directs the UNC Lineberger Pancreatic Cancer Center of Excellence. Her research uses genomics to find new treatments for pancreatic cancer.

Professor at Northwestern University Feinberg School of Medicine and Chief AI Officer of the Northwestern Clinical and Translational Sciences Institute. He develops machine learning methods that integrate clinical, imaging, and -omics data.

Statistical geneticist and Associate Professor of Medicine at Dana-Farber Cancer Institute and Harvard Medical School, where he leads the Clinical Computational Oncology Group.