KYUNG HYUK KIM
I am a Senior Data Scientist at Blueprint. As a theoretical physicist, math modeler, and computational biologist, I am interested in various ranges of industry problems including digital marketing, online bidding, intelligent oil pump systems, and biotechnologies.
I used to be an Acting Assistant Professor of UW Bioengineering leading a group of researchers as a principal investigator. One of my research topics was on Markov Chain Monte Carlo and its application toward biological model inference (synthetic genetic networks). After I left the academia, I joined the Insight Data Science Fellowship Program, where I consulted a startup company to provide an actionable insight on their SaaS (Software as a Service) business analytics product. As a consultant, I provided customer churn models and the churn prediction was based on random forest classification. If you want to know more about my project, please visit my blog, or github.