This event will run from 2:00 – 4:00 PM GMT / 09:00 – 11:00 AM EST.

Join Greg Michaelson and Jason Hillary for a fully interactive, hands-on code-along where you’ll build an end-to-end optimization project from scratch using Zerve’s new notebook view. You’ll write code with us step by step, ask questions as you go, and learn how to model a synthetic city, generate EV charging demand, define an optimization objective, and use heuristic search to place charging stations efficiently.

This session is designed for active participation: follow along, experiment, and get real-time guidance from two experienced PhD data scientists. Everyone who attends gets free Zerve credits so you can continue exploring and applying these techniques long after the workshop.

Key takeaways from attending this event:

  • How to translate a real-world planning problem into an optimization objective (for example, constructing a weighted distance function and defining constraints like service radius.)
  • How to implement and iterate on heuristic optimization methods (such as k-medoids–style search) to improve facility placement without relying on packaged solvers.
  • How to build and visualize an end-to-end optimization workflow in Zerve, including generating synthetic spatial data, evaluating solutions, and comparing baseline vs optimized layouts.

Please sign up for Zerve at https://www.zerve.ai/?utm_source=dsf-jan26 as this is the platform we’ll be using during the code-along. We’ll provide you with additional free credits at the session.

Get ready to have some fun!

Meet the speakers:

Greg Michaelson – Chief Product Officer and Co-Founder @ Zerve

Greg Michaelson champions the perspective of Zerve’s users, helping ensure the platform reflects the realities of day-to-day working with data, and is an active contributor to the data science community. Previously, he was an early leader at DataRobot, serving as Chief Customer Officer after senior analytics roles at Travelers and Regions Bank. He began his career teaching statistics at the University of Alabama, where he earned his PhD in Applied Statistics. Greg lives in Nevada with his family.

Jason Hillary – Chief Technology Officer and Co-Founder @ Zerve

Jason Hillary co-founded Zerve because he saw how much friction slowed down people working with data. With a PhD in Engineering from the University of Limerick, he’s spent years building AI systems that actually work in production, not just in theory. Before starting Zerve, Jason worked across the data and AI space, focused on making technical work less painful and more productive. He believes the best tools get out of your way and let you focus on what matters.

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