Patrick has extensive experience building high-performance machine learning models for scientific problems. Prior to Inductive, he was a Principal Deep Learning Engineer at Butterfly where he built FDA-approved computer vision models for reading medical ultrasound images in real-time on mobile hardware. He has a PhD in experimental condensed matter physics from Columbia University, where he studied quantum transport in organic semiconductors. His work has been published in top journals and conferences including ICLR, Science, and Nature.
