Dr. Sharon Moore

Dr. Sharon Moore

Graduate Online Program Manager, Department of Computer Science
Dr. Sharon Moore

Education

  • Ph.D., Applied Mathematics, North Carolina State University (2011)
  • MS, Applied Mathematics, North Carolina State University (2008)
  • BS, Mathematics (minor in Computer Science) Baylor University (2006)

Contact Info

Email: Sharon_E_Moore@baylor.edu

Phone: (254) 710-6965

 

Dr. Sharon Moore is the Online Masters in Computer Science Program Director for the Department of Computer Science. She previously worked as a researcher in data science at Baylor University, where she modeled alcoholism and it’s impacts on the body.

Before coming to Baylor University, she served as an Assistant Professor of Mathematics at Wofford College and at the University of Mary-Hardin Baylor.

Moore earned her doctoral degree from North Carolina State University and her bachelor’s degree from Baylor University. Her research interests are in data science, mathematical modeling, and hybrid symbolic-numeric computation. Moore is excited to be working at her alma mater.

She and her husband, David, have two boys, Michael, 3, and Lucas, 1.

Experience

  • Research Scientist, Baylor University Computer Science Department (May 2016-Feb 2020)
  • Assistant Professor, University of Mary Hardin-Baylor Mathematics and Physics Department (Aug 2013-May 2016)
  • Assistant Professor, Wofford College Mathematics Department (Sept 2011-Aug 2013)

Selected Publications

  • Moore, E. Baker, K. Grant, S. Gonzales, E. Zollinger, and A. Radunskaya. Time for a Drink? A Mathematical Model of Non-Human Primate Alcohol Consumption. Frontiers in Applied Mathematics and Statistics. 2019 Feb 22. Vol. 5. https://doi.org/10.3389/fams.2019.00006.
  • Rivas, S. Moore, U. Iwaniec, R. Turner, K. Grant, and E. Baker. Optimizing Support Vector Machine Analysis in Low Density Biological Data Sets. IEEE, 2018 International Conference on Computational Science and Computational Intelligence (CSCI). Pre-print: https://www.rivas.ai/pdfs/rivas2018optimizing.pdf DOI 10.1109/CSCI.2018.00262.
  • Baker, N. Walter, A. Salo, P. Rivas, S. Moore, S. Gonzales, K. Grant. Identifying Future Drinkers: Behavioral Analysis of Monkeys Initiating Drinking to Intoxication is Predictive of Future Drinking Classification. Alcohol Clin Exp Res. 2017 Mar;41(3):626-636. doi: 10.1111/acer.13327. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5347908/.
  • Kose, S. Moore, C. Ofodile, A. Radunskaya, E. Swanson, E. Zollinger, Immuno-kinetics of immunotherapy: dosing with DCs. Letters in Biomathematics. Vol. 4. 2017. https://doi.org/10.1080/23737867.2017.1289129.
  • Hutton, Exact Sums-of-Squares Certificates in Numeric Algebraic Geometry, Aug. 2011.
  • Hutton, E. L. Kaltofen, and Lihong Zhi, Computing the radius of positive semidefiniteness of a multivariate real polynomial via a dual of Seidenberg’s method, Proc. 2010 Internat. Symp. Symbolic Algebraic Comput. ISSAC 201., pages 227-234. URL: https://users.cs.duke.edu/~elk27/bibliography/10/HKZ10.pdf

Research Interests

  • Hybrid Symbolic-Numeric Computation
  • Mathematical Modeling
  • Data Science