Kyung-Jae Cho

Kyung-Jae Cho is an accomplished professional with a strong background in biosignal research and artificial intelligence. Currently serving as the Inpatient Care Team Lead in the Biosignal R&D group at VUNO Inc. since March 2018, Kyung-Jae has successfully conducted a prospective study on DeepCARS and gained approval from the MFDS for the same project. Prior experience includes a researcher position at Hanyang University, where Kyung-Jae authored a top conference paper on a TV show recommendation algorithm and contributed to a journal publication on influence maximization. Additional roles include a machine learning engineer at Software Maestro, developing a clustering algorithm for shopping reviews, and participation in the Microsoft Student Partnership, where Kyung-Jae was a finalist in the Imagine Cup 2015 for a machine learning-based fertile day prediction project. Educationally, Kyung-Jae holds a master’s degree and a bachelor's degree in computer engineering from Hanyang University.