D. Michael Senter

D. Michael Senter

Research Statistician Developer

SAS Institute

Biography

Mathematical modeling, data analysis, and machine learning have been the major themes of Michael’s academic endeavors. The through line of his career has been the utilization of coding to solve computationally complex problems.

Michael enjoys mentoring and teaching. His teaching philosophy is based on his own experience - that a passion for math and computer science can be cultivated through active learning and emphasizing small victories.

Michael is originally from Nuremberg, Germany where he attended the Neues Gymnasium Nuernberg, a school following the humanist tradition of education. He now lives in Lexington with his family, where he enjoys travelling, collecting books, and reading nerdy webcomics in his spare time.

Interests

  • Data Cleaning and Preparation
  • Missing Data Methods
  • Big Data and Data Analytics
  • Causal Inference

Education

  • PhD in Applied Mathematics, 2021

    University of North Carolina at Chapel Hill

  • Grad. Certificate in Bioinformatics and Computational Biology, 2021

    University of North Carolina at Chapel Hill

  • Grad. Certificate in BD2K Data Science, 2021

    University of North Carolina at Chapel Hill

  • BSc in Mathematics, 2015

    University of Utah

Recent Posts

From p-Values to Bayes Factors

Improve the interpretation of your frequentist analysis output’s strength of evidence by incorporating Bayes factor bounds using SAS.

Some Thoughts on Parenting

I have recently returned to work from my paternity leave. I really enjoyed my time with my youngest and am grateful to SAS for providing 8 weeks of paid paternity leave – a benefit that remains uncommon in the United States.

Programming Links - July

From the null program: Object Oriented C Skeeto’s C coding style Portable Makefiles Beating NumPy’s Matrix Multiplication in C. A list of cli-tools provided by Python.

Get SSH Keys From Github

Did you know you can get your public SSH keys via GitHub? I recently installed Ubuntu Server to VM. During the installation process, it asked for my GitHub username and then populated the authorized_keys file with my public keys.

New MI Feature: Flux Statistics

The Viya 2024.04 release includes a brand new MI feature: new missing data statistics. An important choice when building an imputation model is the selection of variables to be included. One method to help in the variable selection process is the usage of summary statistics such as influx and outflux, as proposed by van Buuren.

Recent & Upcoming Talks

CMSRP Data Analytics Workshop

This 1-hour workshop is intended to help funded CMSRP students prepare for their summer research project. Current best practices in data analytics will be discussed, with emphasis on the pre-analysis phase of the research cycle.

Dissertation Defense

All organisms must deal with fluid transport and interaction, whether it be internal, such as lungs moving air for the extraction of …

Basics of Web Scraping with Python

Data acquisition is a key step in research. In this workshop, we will consider how to effectively access publicly available data sets. …

Thesis Proposal

Please join me as I present the work I have done so far in my graduate career and discuss avenues for future study.

Recent Publications

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Family History And Chronic Medical Conditions Associated With Sudden Death Among Working Age Adults

Background Sudden death accounts for 10% of deaths in the United States. Prior research has focused on sudden death in older victims, leaving much unknown about risk factors for younger, working age adults.

Former Incarceration As A Risk Factor For COVID-19 Associated Sudden Death

Background In the United States, former incarceration is a risk factor for chronic conditions and sudden death (SD) due to poor healthcare continuity after release and lack of community support. During the COVID-19 pandemic, all-cause mortality increased, and preexisting risk factors and social limitations of having an incarceration history were exacerbated.

Housing Insecurity: Effects on Sudden Death and Interaction with Mental Illness

Background Housing insecurity is a powerful social determinant of health that is associated with increased all-cause mortality. The health consequences of and contributors to housing insecurity are poorly studied, which makes preventative care elusive for this population.

Immersed Boundary Simulations and Tools for Studying Insect Flight and Other Applications

All organisms must deal with fluid transport and interaction, whether it be internal, such as lungs moving air for the extraction of oxygen, or external, such as the expansion and contraction of a jellyfish bell for locomotion.

A semi-automated finite difference mesh creation method for use with immersed boundary software IB2d and IBAMR

Numerous fluid-structure interaction problems in biology have been investigated using the immersed boundary method. The advantage of …

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