Randy Kerber is an independent data science and AI consultant based in Holland, Michigan.
Most recently Mr. Kerber was Chief Technology Officer of Data2Discovery, a life science startup funded by the National Science Foundation, where he led the development of data science workflows for early-stage drug discovery.
Mr. Kerber first became interested in AI as an undergraduate at the University of Minnesota, then specialized in Machine Learning while obtaining a Master’s degree from the University of Southern California.
Upon graduation, he moved to Silicon Valley, first as a machine learning researcher in an aerospace AI lab, then transitioning to data mining professional services and tool development, followed by stints in several early-stage tech startups, and as an independent consultant.
Mr. Kerber is a coauthor of the CRISP-DM Data Mining process model, a cross-industry standard for carrying out data mining engagements, the most widely-adopted standard data mining/science process (according to surveys of data analysis practitioners). He is also the holder of three U.S. Patents. In 2016 he moved to western Michigan, where he enjoys mountain biking, camping, and paddle-boarding on Lake Michigan.