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

• Re-Thinking the Role of Statistics in Informing Heart Team Decisions: A Consensus Distribution Approach
• Aggregating predictions from experts: A review of statistical methods, experiments, and applications

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