Robed Beauvile,
Senior Data Scientist

Robed’s expertise is in developing analytical insight and applying Machine Learning algorithms to entire training and inference pipelines. He’s passionate about his research, his projects, and innovative technologies.

Outside of his role at Limetree, Robed enjoys working with weakly compact convex subsets in Lebesgue spaces that fail the fixed-point property for non-expansive mapping. He’s also investigating the development of finite normalized tight frames in infinite and finite dimensional Hilbert Spaces, with a particular focus on their connections in Deep Learning and Sparse Approximation.

Robed is a graduate of the University of Pittsburgh, where he completed a PhD in Mathematics. Outside of research and academics, he’s currently developing Cal-Tutor, an AI-powered calculus tutor. The idea came from his need to make differentiation and integration straightforward and more interactive for students.