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tomcm39/README.md

tom mcandrew

I am a computational scientist with training in biomathematics, biostatistics, and the mathematical sciences, who focuses on developing more descriptive models of infectious disease dynamics to inform and improve public health decision-making. My niche lies in augmenting surveillance systems with public health expertise to generate more realistic predictions of reported infectious disease cases.

Contact information
[email protected]
thomas mcandrew
Associate Professor

Dept. of Biostatistics and Health Data Science
College of Health

Mathematics Dept (Courtesy appt.)
College of Arts and Sciences

Lehigh University
Bethlehem, PA 18015

PI of Computational Uncertainty Lab https://compuncertlab.org/

Education:

  • University of Vermont, Ph.D. Mathematical Sciences
  • Georgetown University, M.S. Biostatistics
  • University of Scranton, B.S. Biomathematics

Areas of Research/Publications:
Infectious disease forecasting, ensemble algorithms, and human judgment

Recent Publications = Google Scholar

Popular repositories Loading

  1. COVID19_expert_survey COVID19_expert_survey Public

    A repository of the data and code used for aggregating expert predictions of COVID19

    Python 11

  2. adaptively_stacking_ensembles_for_infleunza_forecasting_with_incomplete_data adaptively_stacking_ensembles_for_infleunza_forecasting_with_incomplete_data Public

    TeX 3

  3. h5n1 h5n1 Public

    Python 2

  4. aedesData aedesData Public

    Python 1

  5. simpleMultiplePolynomial simpleMultiplePolynomial Public

    Forked from mhc-stat340-f2019-sec02/simpleMultiplePolynomial

    Lab on Simple, Multiple, Polynomial Reg.

    R 1

  6. 2022S-BSTA001-Textbook 2022S-BSTA001-Textbook Public

    TeX 1