Frank is passionate about Big Data and its potential to gather insight into so many facets of humanity: "As our tools get better and more scalable, we have the ability to answer greater questions and build more meaningful products that enrich our lives and solve problems." His first experience working with big data was modeling particle decays after heavy-ion collisions in a particle detector at LBL and UC Berkeley. After learning flamenco guitar in Spain, he learned data acquisition and signal analysis as an optical engineer in the Bay Area. More recently, he attended Zipfian Academy for a 12-week all-day bootcamp to familiarize himself with the latest and greatest tools for Data Science.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.