I earned my PhD in statistics in 2018 from Temple University in Philadelphia. My research there involved using Bayesian computational particle filtering algorithms to model the movement patterns of sharks based on inferring their behavioral state. Prior to that, I worked for four years as a research assistant at the Federal Reserve Board of Governors in Washington, DC. I am a proficient R programmer and have designed two software packages (mapStats and animalEKF) for users.
My career interests in industry are in data science, algorithms, machine learning, analytics, and security.
I have a blog through IBM (http://www.research.ibm.com/haifa/dept/vst/ML-QA.shtml) where I address broad-interest (and perhaps under-addressed) issues in statistics and data science, such as best practices in statistical inference.