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Be prepared for the unexpected

June 28, 2023

Hear from Stantec’s Susan Marlow, Katherine Osborne, Assaad Mrad, and Curtis Smith on how machine learning tools, like Stantec’s Flood Predictor, can deliver near real time probabilistic and deterministic predictions for flooding.

Within this webinar, we also hear from Tennessee’s Kent Archer on how they’re using Flood Predictor across large portions of Tennessee and the impact its having on their ability to get ahead of flooding events, reduce risk, and build resiliency into their communities.  

  • Susan Marlow

    As brand ambassador for, Susan helps build bridges between our data scientists and engineers and the needs of our clients. She is a leader in our Digital Services group and works on several digital projects across our service spectrum.

    Contact Susan
  • Katherine Osborne

    Katherine advances innovative Digital Solutions. Her experience includes project management in watershed and river hydraulics and serving as a community engagement and risk communication lead focusing on flood risk and impacts.

    Contact Katherine
  • Curtis Smith

    A senior associate, team leader, and technical expert, Curtis works on flood risk identification. He applies digital solutions such as cloud computing, statistics, and watershed modelling to maximize value for the communities he supports.

    Contact Curtis
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