Chris has a Master’s Degree in Biomedical Engineering from the University of Wisconsin-Madison, and brings more than five years of machine learning and AI research experience to EnsoData. He has acted as a leading contributor to the open source machine learning platform NEXT ML. Prior to EnsoData, Chris was CEO of a social custom apparel marketplace Langdon Co, where he grew the business and oversaw its successful acquisition within its first year.
Prior to Langdon Co, Chris worked as a full stack developer and data scientist at the Wisconsin Institute for Discovery AI Optimization Lab, National Institutes of Mental Health Conte Center, Birn Laboratory for Functional MRI Research, and Johnson Controls. Since EnsoData’s founding in 2015, Chris and the EnsoData team have delivered 8 accepted peer-reviewed AI research presentations at leading AI/ML and Medicine conferences including NIPS Annual Conference on Neural Information Processing Systems, American Academy of Sleep Medicine's Annual SLEEP Conference, IEEE's International Engineering in Medicine and Biology Conference, and more.