Clinicians, radiologists, statisticians, pathologists, programmers, physicists, computer specialists, research associates and breast cancer advocates are committed to working on the HIPIMR to investigate clinically relevant research questions of value to women about breast imaging and breast cancer.
I am a Researcher/Professor at the UH Cancer Center, a Fulbright Scholar and an expert in mining biomarkers from medical imaging using advanced machine learning techniques; Co-I San Francisco Mammography Registry 1999-2018; PI of the NIH-funded 3-Component Breast Imaging Study. ; Director of the Artificial Intelligence Precision Health Institute; , the Body Composition Exercise Physiology and Energy Metabolism CORE lab, and the Shepherd Research Lab; 2017 President of the International Society for Clinical Densitometry; ISCD’s John Bilezikian Global Leadership and Oscar Gluck Humanitarian Awards for his IAEA contributions. I have chaired 10 international workshops on quantitative imaging and have over 200 peer-reviewed publications that have been referenced over 10,000 times.
I am the board-certified Breast Oncologist and Medical Director of the Clinical Trials Office (CTO) at the UH Cancer Center. I oversees the CTO activities that support clinical and translational research which include investigator initiated, government sponsored and industry sponsored clinical trials. I also have a clinical practice in both community and academic settings that focus on women with breast cancer and those at high risk. Specifically, my interests include breast cancer survivorship to help survivors optimize their health and wellness during and after treatment.
Dr. Maskarinec, a physician in preventive medicine and nutritional epidemiologist, has the goal to contribute to chronic disease prevention by understanding the etiology of breast cancer, Non-Hodgkin Lymphoma (NHL), and type 2 diabetes.
I am an Assistant Professor in Population Sciences at the UH Cancer Center. I provide support to member investigators in the area of biostatistics. I am the PI of the NIH funded study, “Improving Breast Cancer Risk Prediction with Composite Measures of Obesity and Body Fat”
I am a post-doctoral researcher primarily studying mammography for risk detection using machine learning. As a data scientist and software engineer I support the general scientific and technological goals of the group. My experience ranges from co-authoring scientific papers published in peer-reviewed journals to more day-to-day tasks like server administration.
Yun Oh Jung
I am a UHCC Information System Administrator. I provide database and server administration to support many research projects at the Cancer Center. I facilitate the computing needs for a research project so that PIs can concentrate on their research instead of worrying about how to make their computer resources do what they want.
I joined Shepherd Research Lab in 2018, and am the program leader on various breast imaging collaborations within Hawaii and Guam. Several of our studies include Accessible Breast Cancer Screening in the Pacific, and the Hawaiʻi and Pacific Islands Mammography Registry. Before moving back to Hawaii, I spent 15 years working as a Program Manager for the French National Institute of Health and Medical Research (INSERM) in Paris, France, and Centre for Research in Environmental Epidemiology (CREAL) in Barcelona, Spain in various areas such as cancer etiology and environmental epidemiology in women’s health.