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Resoundingly Human

Resoundingly Human

By: INFORMS
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Resoundingly Human, the podcast from INFORMS, is dedicated to bringing O.R. and analytics to life by highlighting the incredible contributions of the men and women who are using O.R. and analytics to save lives, save money, and solve problems. Economics Management Management & Leadership Mathematics Science
Episodes
  • Closing out the year with the 2025 INFORMS President
    Dec 29 2025

    We close out another terrific year of Resoundingly Human podcasts with our 2025 INFORMS President Dave Hunt, for a look back over his time as president, milestones, and what activities he's looking forward to getting back to in 2026.

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    23 mins
  • Learning to optimize ... and how to bake the BEST cookies
    Dec 19 2025

    In this episode, we're continuing our special relaunch series by welcoming one of this year's INFORMS Annual Meeting plenary speakers – a pioneer in the fusion of machine learning and optimization, and a leader in advancing AI for real-world engineering challenges.

    Pascal Van Hentenryck is a Fellow of INFORMS and AAAI, and has made groundbreaking contributions to constraint programming and optimization systems that are still used in industry decades later. His current research focuses on integrating AI with mathematical optimization to solve incredibly complex and large-scale problems in energy, transportation, supply chains, and more.

    At the 2025 INFORMS Annual Meeting, he delivered a plenary address titled "Learning to Optimize: Foundations and Industrial Impact," exploring how machine learning and optimization can work hand-in-hand to meet real-time demands in today's dynamic systems.

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    31 mins
  • Finding synergy in AI and OR/MS: Meaningful, measurable and responsible decision-making
    Dec 2 2025

    In our latest episode in the Resoundingly Human podcast refresh, Ramayya Krishnan, Carnegie Mellon University, and plenary speaker at the 2025 INFORMS Annual Meeting, shares how today's rapid advances in AI technology create new opportunities for synergy with OR/MS, with broad implications for workforce development, public policy and education.

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    56 mins
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