Dr. Lianne Lefsrud
780-951-3455
lianne.lefsrud@insightrisksystems.com
Dr. Fereshteh Sattari
fereshteh.sattari@insightrisksystems.com
© Insight Risk Solutions. All rights reserved.
Risk management avoids losses AND also generates value. Case studies of workplace safety show an average increase of 82% safety performance, 66% in productivity, 45% in product quality, and 71% in cost benefits.
Companies with mature risk management systems are valued as much as 25% more than their less mature peers.
Dr. Lianne Lefsrud, P.Eng,
CEO
Dr. Lianne Lefsrud, PEng, (CEO) is the Risk, Innovation & Sustainability Chair (RISC) at the Faculty of Engineering, University of Alberta, where she leads interdisciplinary research and teaching in risk management. She has analyzed decades of incident data in diverse, high-hazard industries like hydrogen, mining, construction, railroading, and bio engineering.
With a PhD in Strategic Management and Organization, and over 25 years of experience in operations, regulatory affairs, and strategy advising to governments and senior leaders, she brings a unique systems-level approach to risk management.
Her work is published in 200+peer reviewed journals and proceedings, forthcoming book with Oxford, reflected in 100 graduate students supervised, featured in Forbes articles and TEDx, and recognized with 30+ awards.
Dr. Fereshteh Sattari
COO
Dr. Fereshteh Sattari (COO) is the Research Director, David and Joan Lynch School of Engineering Safety and Risk Management, University of Alberta.
With a PhD in computer process control, her research is on optimizing and simulating processes by applying artificial intelligence (Al) and machine learning (ML) for energy, construction, and transportation companies. She teaches undergraduate and graduate courses such as Quantitative Risk Analysis and supervises various research projects.
We use a unique combination of advanced data analytics and machine learning, process safety and risk management methods, and strategy and human factors analysis to help decision makers understand and improve their risk management systems.
We have worked with companies who have had serious incidents and fatalities. And we have developed patented machine learning methods to analyze incident, inspection, production, and other data to identify missing leading indicators.
We are now using these algorithms and data visualizations to improve companies’ risk management systems.