Jennifer Go holds a BHSc in Health Sciences and an MSc in Epidemiology, both from the University of Ottawa. Her academic work has spanned epigenetics, mental illness, and environmental exposures. Joining Risk Sciences International in 2017 as a Risk Analyst, she specializes in epidemiology. Jennifer's skill set includes systematic reviews, data manipulation, and statistical modeling. She has worked on diverse projects, ranging from pharmacoeconomic evaluations to analyses involving large datasets and electronic health records.

Since 2002, Mr. McNair has led key aspects of Cerner's Big Data operations, ensuring data quality for over 700 healthcare institutions. His role focuses on using this data for predictive models and decision-support solutions. McNair's career at Cerner began in 1986, where he co-invented Discern Expert®, a real-time decision-support engine used globally. He held positions in regulatory affairs, served as a General Manager, and worked in pharmaceutical roles. McNair is a prominent figure in mathematical modeling, AI, and health finance, with over 100 patents and numerous publications. He's also active in volunteer work and academic pursuits.

Dr. Arnold, a former general surgeon and occupational health consultant in Labrador and Nouveau Quebec, served Quebec Cartier Mining Ltd and the Iron Ore Company of Canada from 1973 to 1981. He has held teaching positions at various Canadian medical faculties and currently serves as an Adjunct Professor at McGill University. Dr. Arnold earned his M.D. from Queen's University in 1968 and has an extensive publication and presentation record with over 100 papers. He has received numerous honors for his contributions to occupational health and workplace psychological health and safety.

Dr. Patricia Larkin's career is dedicated to policy and regulatory assessments, focusing on the intersection of social determinants of health and health equity. Her expertise lies in managing human health and environmental risks, particularly in energy, water resources, and climate change. Patricia's research explores Canadian innovation in energy regulatory decision-making and its impact on risk management. She has led interdisciplinary international research projects, addressing risk management in public decision-making and environmental issues like carbon capture and storage. As Chair of the Applied Risk Management Specialty Group of the Society for Risk Analysis, she continues to contribute to this field.

Don Mattison's career is an amalgamation of medicine, science, and public service. He started with a Bachelor's degree in Chemistry and Mathematics, followed by a Master's from MIT in Chemistry. He then pivoted to medicine, obtaining an MD from Columbia University and focusing on pharmacology and toxicology in reproductive health during his residencies. Mattison has held several prestigious appointments, including Dean of the University of Pittsburgh's Graduate School of Public Health and Chief Medical Officer at Risk Sciences International. Throughout his career, he obtained medical licenses in six U.S. states and served in the U.S. Public Health Service, retiring with the rank of Captain. Most recently, he became a Distinguished Professor of Epidemiology at the University of South Carolina.

Dr. Paul Stanish joined Risk Sciences International (RSI) in 2021 as a Risk Analyst, where he plays an essential role in advancing data-driven risk practices. Leveraging his strong background in chemistry and nanotechnology, he supports clients in building modern data cultures grounded in causal inference, machine learning operations (MLOps), and organizational performance measurement. His work ensures that risk frameworks not only incorporate emerging technologies but are also scalable and operational within institutional settings.

With 20+ years experience in accounting and 12+ years experience in web development, I spend half of my time as a finance officer and bookkeeper. The other half of my time is spent coding, deploying, consulting and maintaining a variety of management web applications.

Martin LeBlanc specializes in business development at RSI, focusing on client needs across various sectors including health, nuclear, and aerospace. With a background in electrical/mechanical technology and sales, he excels in assembling project teams and navigating complex procurement processes. He is adept at contract negotiation, proposal development, and is well-versed in Government of Canada procurement vehicles. Martin is also experienced in international projects and adapts quickly to new procurement processes.

Dr. Shintaro Hagiwara is a Risk Analyst and Statistician at Risk Sciences International (RSI), where he contributes cutting-edge statistical insight to risk assessments, particularly in chemical safety and public health. Since joining RSI’s technical team in 2018 and transitioning to a full-time role in 2023, he has applied his deep quantitative knowledge to building theoretical foundations and developing statistical software. Notably, he created the database-calibrated assessment process (DCAP) and the enhanced value-of-information (VOI) framework to aid in evidence-based regulatory decision-making, both of which have been reviewed by the board of scientific counselors (BOSC). His applied statistical work provides assessments and tools to derive PODs for chemicals such as inorganic arsenic and fluoride to support both Canadian and international regulatory bodies.

Dr. Calvin Willhite is a renowned expert in developmental toxicology and quantitative structure-activity relationships, with a substantial publication record. He has played key roles in influential organizations and committees, including the National Academy's Committee on Toxicology, the U.S. EPA's National Advisory Committee, and the IARC Cancer Chemoprevention Panel. Dr. Willhite is a member of the Society of Toxicology and is featured in notable biographical publications. Currently, he serves as an Associate Expert with Risk Sciences International, contributing to health risk assessments for various chemicals, both man-made and naturally-occurring.