Dr. Jonathan Simkin, PhD MPH, Scientific Director of the BC Cancer Registry and Co-Chair of the Canadian Council of Cancer Registries, holds a PhD and MPH from the University of British Columbia. His research expertise spans geospatial methods in cancer surveillance, population oncology research, and the application of deep learning methods in cancer surveillance. Dr. Simkin has a ten-year tenure in cancer registry and surveillance settings, including roles as a Cancer Epidemiologist at the Yukon Government and more recently as the Scientific Director of the British BC Cancer Registry at BC Cancer, which he has led since 2019. Dr. Simkin's leadership in implementing cutting-edge technology at the BC Cancer Registry is driving transformative change in cancer data management, ensuring improved efficiency, timeliness, and data quality to support cancer care and research. 

Dr. Gondara is a Research Scientist, with specialization in machine learning and biostatistics at the Provincial Health Services Authority (PHSA). His research focus encompasses several areas within machine learning and biostatistics, including natural language processing, multimodal learning, privacy-preserving machine learning, flexible survival regression models, Bayesian statistics, and their integration into the healthcare domain. In his previous role as a biostatistician, Dr. Gondara was responsible for the design and analysis of multiple clinical trials spanning multiple disease domains, such as breast cancer, brain and CNS tumors, cervical cancer screening, etc.

Eric B. Durbin, DrPH, MS, is an Assistant Professor in the Division of Biomedical Informatics at the University of Kentucky (UK) College of Medicine.  He serves as the Director of the Kentucky Cancer Registry (KCR) and the Director of the Cancer Research Informatics Shared Resource Facility at the UK Markey Cancer Center.  He has over 30 years of experience in population-based cancer surveillance and informatics support for basic, clinical and translational cancer research.  His research interests include precision cancer surveillance, pathology informatics, machine learning methods and cancer epidemiology.
 
Dr. Durbin’s current research is focused on the integration of multi–omics data to support decision-making in precision medicine and cancer prevention and control, informatics methods to support pediatric and young adult cancer patient surveillance and research and the development of machine learning methods to derive clinical biomarkers from narrative electronic pathology reports and digital slide images.

Frank Boscoe worked at the New York State Department of Health from 1999 to 2019, nearly all of that time with the New York State Cancer Registry, before starting his own consulting business in 2019.