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tomcm39/README.md

tom mcandrew

I am a computational scientist working at the intersection of biostatistics and data science. I build novel ensemble algorithms to combine computational models, and expert and non-expert human judgment, of infectious disease agents to support public health decision making. In industry, I spent time as Associate Director of Biostatistics at the Cardiovascular Research Foundation, leading a team of biostatisticians that designed and analyzed multinational clinical trials. For more information visit my website: http://www.thomasmcandrew.com/

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, combination forecasting, and human judgment

Recent Publications

Google Scholar

Popular repositories

  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. aedesData aedesData Public

    Python 1

  4. simpleMultiplePolynomial simpleMultiplePolynomial Public

    Forked from mhc-stat340-f2019-sec02/simpleMultiplePolynomial

    Lab on Simple, Multiple, Polynomial Reg.

    R 1

  5. 2022S-BSTA001-Textbook 2022S-BSTA001-Textbook Public

    TeX 1

  6. reichlab.github.io reichlab.github.io Public

    Forked from reichlab/reichlab.github.io

    The website for the Reich Lab @ UMass-Amherst.

    HTML