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.

Dr. Anne Wiles joined Risk Sciences International (RSI) in 2008, where she currently serves as a Senior Analyst specializing in risk communication, perception, and governance. With a distinctive blend of expertise in language, regulation, and the use of science in decision-making, Anne has contributed to a wide range of RSI projects focused on the human and institutional dimensions of risk. Her work includes developing health risk communication strategies and drafting publicly accessible scientific information, advising on public messaging for nuclear energy and nuclear waste management, and supporting regulatory agencies in the evaluation and management of complex risk portfolios. She has been deeply involved in several RSI projects examining how mandates, institutional contexts, and public attitudes shape regulatory decision-making across federal domains. Anne has also contributed to scholarly work at RSI, including co-authoring a scoping review on the evolution of health and environmental risk decision-making, an article on the potential health risks associated with aluminum, and a book chapter on public concerns related to blood safety. In addition to her project work, Anne is a university instructor, teaching two courses: a broad overview of societal approaches to risk, and a graduate seminar on risk management in government, where she integrates academic theory with real-world regulatory case studies and risk communication practice.

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.

Hong Duan is a Systems Analyst and Application Developer at Risk Sciences International, where she has applied her expertise since 2011. She holds a Bachelor of Computer Science degree from the University of Ottawa and is certified as a Microsoft .NET Professional Developer. Hong specializes in developing database-driven, risk-based web applications.

Sean Hart is RSI’s Finance Officer and Bookkeeper, where he manages the company’s core financial operations and supports project-level accounting. With a strong command of both accounting principles and digital systems, Sean ensures the integrity, accuracy, and compliance of RSI’s financial records and reporting.

Dr. Cote is an Associate Expert at Risk Sciences International, where she brings world-class expertise in environmental health risk assessment, risk management, and science-informed public policy. She contributes to projects that require strategic application of risk methodologies to environmental, occupational, and chemical exposure issues—often at the intersection of regulation, sustainability, and health protection. Her work with RSI benefits from her deep understanding of both U.S. and international regulatory environments and her commitment to advancing decision-making through transparent and defensible science.

Dr. Natalia (Natasha) Shilnikova is a Senior Health Risk Analyst at Risk Sciences International (RSI), where she has contributed since 2011 to some of the organization’s most analytically demanding and policy-relevant projects. With a background in medicine and a PhD in medical sciences, Dr. Shilnikova specializes in the synthesis of epidemiological evidence, human health risk assessment, toxicology, and critical literature reviews—applying her expertise across a spectrum of regulatory and public health priorities.

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.

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.

Andrew’s focus since retiring from the Canadian federal public service has been to help clients improve digital service delivery by maximizing the use of their data holdings and assisting government regulators in adopting risk-based compliance models derived from data on the individuals or businesses they oversee. This often involves developing risk models and determining how these models can be practically applied in the client’s daily operations.