Exploring tools and approaches that make us more effective engineers and make our systems safe and reliable. Join us for discussions on recent developments in topics such as best practices in reliability and security, applied formal methods, encryption, and safe and secure hardware.
Episode #22: Eric Daimler — Guaranteeing the Integrity of Data Models with Category Theory
In this episode, we're joined by Eric Daimler, CEO & co-founder of Conexus AI, Inc, an MIT spin out. We discuss the Conexus software platform, which is built on top of breakthroughs in the mathematics of Category Theory, and how it guarantees the integrity of universal data models. Eric shares real-world examples of applying this approach to various complex industries, such as transportation and logistics, avionics, and energy.
Listen to this episode wherever you listen to podcasts.
Eric Daimler: https://www.linkedin.com/in/ericdaimler/
Joey Dodds: https://www.linkedin.com/in/joey-dodds-4b462a41/
Rob Dockins: https://galois.com/team/robert-dockins/
Galois, Inc.: https://galois.com/
Contact us: podcast@galois.com
10 Jun 2022
Episode #21: Nikhil Swamy — Fully In Bed With Dependent Types
Today we're joined by Nikhil Swamy, Senior Principal Researcher in the RiSE group at Microsoft Research. We are very excited to hear about what he's been working on. In particular, we're going discuss a language that he's co-created and continually develops called F* (pronounced F star). F* is a dependently typed language that you can both program and prove things about the programs that you write. We'll talk about what makes that language special and unique from other similar languages, as well as some of the applications of F*.
28 Apr 2022
Episode #20: Ankush Desai — P: The Modeling Language That Could
Joey and Shpat talk with Ankush Desai, a Senior Applied Scientist at AWS and one of the primary developers behind the P language. They dig into uses for P, bug finding, and what it takes for formal methods researchers to build useful tools for applied engineers.
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