I’m D. Michael Senter, a Research Statistician Developer at SAS Institute. Mathematical modeling, data analysis, and machine learning have been the major themes of my work, and the through line of my career has been using code to solve computationally complex problems.
I enjoy mentoring and teaching. My teaching philosophy is based on my own experience — that a passion for math and computer science can be cultivated through active learning and emphasizing small victories.
I’m originally from Nuremberg, Germany, where I attended the Neues Gymnasium Nürnberg, a school following the humanist tradition of education. I now live in Lexington with my family, where I enjoy travelling, collecting books, and reading nerdy webcomics in my spare time.
Interests
- Data Cleaning and Preparation
- Missing Data Methods
- Big Data and Data Analytics
- Causal Inference
Education
- PhD in Applied Mathematics, University of North Carolina at Chapel Hill (2021)
- Graduate Certificate in Bioinformatics and Computational Biology, UNC Chapel Hill (2021)
- Graduate Certificate in BD2K Data Science, UNC Chapel Hill (2021)
- BSc in Mathematics, University of Utah (2015)