Michal Sofka is currently leading the deep learning team at Hyperfine Research in New York. Hyperfine created an innovative point-of-care MRI, that wheels directly to the patient’s bedside, plugs into a standard electrical wall outlet, and is controlled via a wireless tablet. Michal is on a mission to develop algorithms that improve images and run on the scanner and tools for image interpretation that run in the cloud. Hyperfine is a member of 4Catalyzer, a group of technological startups focused on developing new types of sensors and pairing them with deep learning to get a new window into biology and medicine. Until 2017, Michal worked on automated measurements and scan acquisition assistance for the iQ, new hand-held ultrasound device developed by Butterfly Network, another 4Catalyzer company. Before joining 4Catalyzer, Michal was a senior technical leader in Cisco’s Cognitive Threat Analytics team in Prague, Czech Republic. The group grew out of a university startup acquired by Cisco in 2013. Michal lead the design and development of new machine learning algorithms for large scale traffic analysis for threat defense. Prior to Cisco, Michal worked as a senior scientist and project leader at Siemens Corporate Research, a top healthcare industrial R&D lab in Princeton, New Jersey. Between 2008 and 2013, he managed and directly contributed to image analytics solutions for Siemens business units and external customers, including award-winning product for J&J. Michal completed his undergraduate work at the Czech Technical University. He received the MS degree in Electrical Engineering from Union College and MS and PhD degrees in Computer Science from the Rensselaer Polytechnic Institute (RPI).