Chris Rackauckas - Physics-Informed Neural Networks (PINNs) | Podcast #42

Chris Rackauckas is an Applied Mathematics Instructor at MIT, a Senior Research Analyst in the University of Maryland School of Pharmacy, and the Director of Scientific Research at Pumas-AI. He is the lead developer of the SciML open source scientific machine learning organization which develops widely used software for scientific modeling and inference.  Chris' work on high performance differential equation solving is the centerpiece accelerating many applications from the MIT-CalTech CLiMA climate modeling initiative to the SIAM DSWeb award winning DynamicalSystems.jl toolbox. Chris is also the lead developer of Pumas, the foundational software of Pumas-AI for nonlinear mixed effects modeling in clinical pharmacology.  For this work in pharmacology, Chris received the Emerging Scientist award from ISoP, the highest early career award in pharmacometrics.

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