Mandy Wilson

Mandy Wilson Headshot
Research Scientist, Network Systems Science and Advanced Computing
434-243-5195

BIO

Mandy Wilson is a research scientist at the Biocomplexity Institute at the University of Virginia; prior to that, she was an employee of the Biocomplexity Institute of Virginia Tech from 2008 - 2018. Wilson has had a broad range of work experiences, including custom software development for the federal government and the private sector. She received her undergraduate and master's degrees at Virginia Tech. Wilson’s primary interests are database architectures and data mining, but she is also an expert in graphical user interface design, web development, and design and development of other custom software. She worked as a computational synthetic biologist at the Biocomplexity Institute, developing software to support genomic design and sequencing verification. Wilson was also one of the original editors of the Synthetic Biology Open Language (SBOL) standard, which is a markup language for exchanging genomic data; more on this can be reviewed at http://sbolstandard.org.

RESEARCH INTERESTS

Synthetic biology, modeling behavior on social media, epidemiology, database architecture, and data mining.

SELECTED PUBLICATIONS

Google Scholar

  • EpiViewer: an epidemiological application for exploring time series data
    BMC Bioinformatics, 19:449. (2018) Thorve S, Wilson ML, Lewis BL, Swarup S, Vullikanti AKS, Marathe M

  • Disparities in spread and control of influenza in slums of Delhi: findings from an agent-based modelling study
    BMJ, (2018) Adiga A, Chu S, Eubank S, Kuhlman C, Lewis B, Marathe A, Marathe M, Nordberg E, Swarup S, Vullikanti AKS, Wilson ML

  • Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches
    JMIR public health and surveillance, 3(4):e83. (2017)Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q

  • EpiCaster: An Integrated Web Application For Situation Assessment and Forecasting of Global Epidemics
    Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB), ACM; 2015:156–165. (2015) Deodhar S, Chen J, Wilson AL, Bisset KR, Lewis BL, Barrett CL, Marathe MV

EDUCATION

Virginia Tech, English, MA, 1994
Virginia Tech, Computer Science, BS, 1992
Virginia Tech, English, BA, 1991