Dr. Paul Stanish
PhD, BSc
Risk Analyst
Joined RSI in 2021
- Enabling data and mathematical literacy in organizations
- Optimizing policy using data science, machine learning, and artificial intelligence
- Measuring organizational performance
- Causal inference
- Machine learning operations (MLOps)
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.
Pre-RSI
Dr. Stanish holds a B.Sc. in Chemistry from Carleton University (2013) and completed his Ph.D. in Chemistry and Nanotechnology at University of Waterloo in 2020. His doctoral research explored the transfer of energy—specifically, excited electrons—through semiconducting oxides, where he extensively used Python and MATLAB to simulate nanoscale processes .
Additionally, he gained hands-on experience in analytical chemistry through roles at Environment Canada and Natural Resources Canada. Beyond his academic and governmental work, Paul has developed several functional Android apps: tools designed to assess option-trading risk, estimate measurement uncertainties, and detect nearby vehicles for cyclists via computer-vision systems—underscoring his innovative approach to applying technology in risk contexts.
Paul giving a lecture on how the light we see affects our lives.
Publications associated with Paul Stanish
Database-calibrated toxicity values for human health assessment based on existing toxicology data for one thousand chemicals.
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Outside RSI
Off the clock, Paul is as dynamic as his professional pursuits. He’s an enthusiastic coffee aficionado, honing his skills in espresso and latte art. A lover of movement, he stays active through biking, running, climbing, and has recently embraced Muay Thai. His early interest in risk began through poker, where he explored game strategy and probability, inspired by reading The Mathematics of Poker by Bill Chen. Paul is also an avid learner and polymath, regularly consuming books and podcasts on technology, law, history, economics, and current events.
