Monique MacDonald is a seasoned Office Administrator with over thirty-five years of experience ensuring the smooth and efficient operation of office environments. She joined Risk Sciences International (RSI) in 2017, where she oversees the full range of internal operations and provides essential support across RSI’s scientific, operational, and client engagement activities. Her responsibilities include bookkeeping, financial support such as budgeting, invoicing, and expense tracking, as well as sales and marketing support. She also serves as operational and logistics coordinator for RSI’s convening events, including training sessions, workshops, and meetings.

Daniel Krewski began his career in the federal government of Canada, focusing on programs within Health Canada, particularly in food safety and environmental health. Trained in mathematics, statistics, and biostatistics, his multidisciplinary background reflects the complex nature of risk science. He later transitioned to academia, founding the McLaughlin Centre for Population Health Risk Assessment at the University of Ottawa. There, he developed new methodologies and collaborated internationally. In 2006, he co-founded Risk Sciences International, aiming to provide expert advice on diverse risk issues. His contributions have been instrumental in shaping risk assessment frameworks used by organizations like Health Canada and the U.S. Environmental Protection Agency. In 2023, Dr. Krewski passed the CEO's baton to Greg Paoli; he remains active as RSI Chief Risk Scientist.

Todd Ruthman serves as Vice‑President, Software and Modelling Solutions at Risk Sciences International (RSI) and has been with RSI since its founding in 2006. With a BASc in Systems Design Engineering from the University of Waterloo, Todd strives to understand the complex interactions in systems - a perspective that he channels into the design of data-driven, evidence-based decision-support applications for RSI’s clients. His team crafts custom IT solutions and leverages tools such as SQL Server, .NET,  Python, Excel, and R, to translate complex risk scenarios into interactive decision-support platforms.

As a Senior Advisor and Associate Expert with Risk Sciences International, Dr. Leiss contributes unparalleled insight into the design, delivery, and evaluation of risk communication strategies for government, regulatory bodies, and civil society. His legacy work in building public trust around controversial science and his decades of thought leadership on consensus-building, science-based policy, and societal responses to risk make him a foundational contributor to RSI’s mission.

Dr. Tee L. Guidotti is an esteemed international consultant in occupational and environmental medicine, specializing in risk management and sustainability. His work encompasses problem-solving, medical evaluation, medicolegal services, and extensive publishing and writing. Although retired from the George Washington University, he maintains active roles in teaching and research, holding adjunct faculty positions at West Virginia University and the University of Alberta. His interests span energy technologies, firefighter health, climate change adaptation, and science policy. Dr. Guidotti's contributions include over 300 papers, eight books, and numerous awards, notably the Knudsen Award for Lifetime Achievement in Occupational and Environmental Medicine in 2013. His focus now centers on environmental sustainability and health.

Dr. Paul Price is a Senior Analyst at Risk Sciences International (RSI), bringing over four decades of experience as a pioneer in exposure science and chemical risk assessment. Since joining RSI in 2019, Dr. Price has focused on advancing mixture risk assessment—an increasingly vital area as regulators shift from assessing single chemicals in isolation to understanding the cumulative effects of combined exposures. His current work includes the development of Mixture Adjustment Factors, participation in international regulatory committees, and authorship of scholarly publications aimed at refining the science-policy interface of chemical mixture risk.

As a Software Engineering Fellow at RSI, Dr. McNair brings unparalleled expertise in machine learning, Bayesian modeling, and decision-support systems. He supports RSI’s most advanced projects by designing and validating AI/ML architectures that meet both regulatory standards and ethical imperatives, including fairness, transparency, and distributive justice. His domain expertise spans from clinical prediction models to the risk analytics of high-reliability systems, with a particular focus on ensuring data quality and model interpretability.

Dr. Nataliya Karyakina is a Senior Toxicologist and Health Risk Analyst at Risk Sciences International (RSI), where she has served since 2008. She plays a central role in RSI’s work at the intersection of chemical safety, regulatory science, and human health. Drawing on more than three decades of experience, Dr. Karyakina contributes to complex projects involving the evaluation and assessment of hazardous properties of chemicals with different modes of action, hazard-based classification of chemical substances under CLP (EC) 1272/2008, and the development of health-based safety values for industrial and environmental chemicals for both workers and the general population.

Dr. Emma Hartnett is Vice-President, Risk Modelling and Simulation at Risk Sciences International (RSI), where she has been a foundational member since its inception in 2006. A globally recognized authority in quantitative risk assessment (QRA), she specializes in developing risk models and decision support tools for complex public health and safety challenges across biological, chemical, and environmental domains.

As a Microbiologist with Risk Sciences International, Dr. Sattar contributes his deep expertise in pathogen ecology, environmental microbiology, and infection control technologies to support RSI’s work in health risk assessment and risk mitigation. His insights guide RSI’s contributions to evidence-based disinfection strategies, microbial exposure modelling, and policy-relevant evaluations of infectious disease risk across water, air, food, and surface-contact pathways.