Mike Kasper

Applied Scientist at Durable

Mike Kasper is an accomplished applied scientist with extensive experience in perception and robotics. Currently employed at Durable since May 2022, Mike previously worked as a perception scientist at Amazon from May 2020 to May 2022, following a tenure as a research assistant at the Autonomous Robotics & Perception Lab at the University of Colorado Boulder from August 2015 to July 2020. Mike completed several internships, including roles at Amazon and NASA, focusing on improving robotic perception and developing algorithms. Academically, Mike earned a Ph.D. and a Master's degree in Computer Science from the University of Colorado Boulder, along with a Bachelor's degree in Computer Science from Northern Arizona University.

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Boulder, United States

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Durable

We’re on a mission to transform access to custom software using explainable AI capable of human-level reasoning and dialogue. We envision a future where custom, flexible, and durable software is democratized and accessible to everyone. We are a VC-funded startup founded by repeat founders, building a product in a new category. Realizing this vision requires AI that reasons over and continuously learns an unbounded and customized knowledge base. It requires AI that, when given a task, determines missing information, asks clarifying questions, and highlights assumptions. It requires AI that explains its reasoning and validates its answers. We don’t see evidence that the current paradigm of ever-larger deep learning language models can realize this vision. So our approach combines the strengths of deep learning in dealing with noisy and ambiguous data with the strengths of symbolic AI in explainable reasoning and data-efficient learning. We believe that this neuro-symbolic flavor of AI will enable more useful and reliable applications in the long term. If, like us, you are skeptical of the status quo and are excited to develop the next chapter of AI in a product-focused team, reach out to us or check out our open positions.


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