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Photograph of Richard Ressler

Richard Ressler Sr Professorial Lecturer and Associate Director of the Data Science Programs Department of Mathematics & Statistics

Contact
Send email to Richard Ressler
(202) 885-6472 (Office)
CAS - Math and Statistics
Don Myers Building - 106 O
Degrees
PhD Operations Research
MS Operations Research (with Distinction)
BA Biochemistry

Favorite Spot on Campus
Office in Don Meyers Building 106-O
Bio
I joined the Mathematics and Statistics Department in 2019 after over 20 years in the strategy and technology consulting industry and a previous 20 years as an officer in the US Army.
I enjoy teaching Data Science and Statistics courses such as DATA 412/612 (Statistical Programming in R, DATA 413/613 Data Science, STAT 427/627 Statistical Machine Learning, and STAT 614 Statistical Methods. It was a lot of fun developing a Complex Problems seminar course I call Big Data, Bias, and Justice for All. I generally teach it once a year.
My research interests are in the arena of Responsible Data science and the application of ethical approaches in data science.
I also serve as an Associate Director of the Math/Stat Data Science programs.
As an executive and senior SME in industry, I focused on the analysis, development, and execution of strategies, policies, and programs for clients facing disruptive change. I supported clients operated in diverse business areas, from personnel, to finance, to systems development and in areas such as large-scale IT programs, biometrics, and computer-based simulations.
I was commissioned in the Army after college and served tours in the US and Germany in Infantry units. I earned my Masters and PhD in Operations Research/Analysis and spent the rest of my career as a senior analyst focused on advanced modeling and simulation methods and systems for use in training, analysis, and research and development.
See Also
Data Science Programs
My Website
For the Media
To request an interview for a news story, call AU Communications at 202-885-5950 or submit a request.

Teaching

Spring 2023

  • CORE-105 Complex Problems Seminar: Big Data, Bias & Justice

  • STAT-427 Statistical Machine Learning

  • STAT-427 Statistical Machine Learning

Fall 2023

  • DATA-413 Data Science

  • STAT-427 Statistical Machine Learning

  • STAT-427 Statistical Machine Learning