# Mathematics and Statistics

I have been a data scientist since we called it statistics and data science is the realization of scientific computing. For nine years, I worked at the Federal Reserve Board at the intersection of data, computers, and social science. It was an incredible training ground. And we played with a lot of R. Then I left to become a data science consultant and man about the District.

I also have a strong interesting mathematics education stemming from teaching as an adjunct at the University of Maryland University College. There, I have taught developmental, introductory college mathematics, and introductory statistics. Most of those have been distance education, administered through the Internet. A few courses have been hybrid with both an online and in-person component. As a result, my research has focused on delivering mathematics content online.

## Publications and Presentations

 Principal Investigator: Europa Lander Orbital Tours. Extreme Science and Engineering Discovery Environment (XSEDE), Startup Allocation TG-DBS170012 National Science Foundation (NSF), 2018, (28,071,071 NUs, $13,652.86). (Type: Workshop | BibTeX) Co-Investigator: Dynamic Causal Decision Trees for Explainable AI. ANTICS—Advanced Network Tech for Integrating Communications in Space, (PI: Mark Matties), Combustion Grant 2018, ($50,000). (Type: Workshop | BibTeX) Principal Investigator: Phonetic Spelling Approaches to Indexing Large Populations. Extreme Science and Engineering Discovery Environment (XSEDE), Startup Allocation TG-DBS170012 National Science Foundation (NSF), 2017, (4,655,650 NUs, $1,346). (Type: Workshop | BibTeX) Augmenting the Classroom with Web-Based Interactive Demonstrations. University of Maryland University College, Center for Teaching and Learning Professional Development Grant 2014, (2014 Joint Mathematics Meeting,$508). (Type: Workshop | BibTeX)