I am a data science fellow with the Insight Data Science program in Seattle, WA. I have a Ph.D. in experimental particle physics from UC Davis and have spent the past few years doing postdoctoral research at the University of Maryland as a member of the IceCube Neutrino Observatory. IceCube was an amazing project to be a part of, and I had the great pleasure to travel to the experimental site at the Geographic South Pole in 2015. My academic research used machine learning techniques to identify neutrino events from cosmic ray backgrounds. This work led to a comprehensive analysis of high energy neutrino events associated with observed Gamma Ray Bursts (GRBs). Alas, no significant correlation was detected, but strict limits on theoretical models were published.
Through my research career I most enjoyed the chance to hone my analytical and computation skills to make sense out of large datasets and derive meaning from them. I decided to pursue a career in data science for the chance to make impactful discoveries about data that can be directly applied to improve a business. I have always been eager to learn new techniques and skills and I look forward to doing so at a company that values the insights that machine learning and data analytics can provide.