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.
Synthetic biology, modeling behavior on social media, epidemiology, database architecture, and data mining
Virginia Tech, English, M.A., 1994
Virginia Tech, Computer Science, B.S., 1992
Virginia Tech, English, B.A., 1991
Researchers from UVA’s Biocomplexity Institute and School of Engineering and Applied Science, working with a team of multi-disciplinary scientists from around the world, have spent the last two years developing highly advanced computational models designed to inform policy makers, save lives and prepare for future global epidemics.
Team Science Yields Prize-Winning Paper Outlining How to Curtail Spread of COVID-19 and Inform Policy
Rather than a shut-down, what if we knew which places to close during a pandemic to curtail the spread of a virus and lessen the economic impact to a locality? A model showing how this can be done, created by researchers at the University of Virginia Biocomplexity Institute and Stanford and Northwestern universities, has won a Best Paper Award in the Applied Research track at the recently concluded ACM KDD conference.
University of Virginia Biocomplexity Institute to Contribute High-Tech Expertise in National Research Institute Developing Artificial Intelligence for Agriculture
Researchers at the University of Virginia Biocomplexity Institute are founding partners of a national research institute that will develop artificial intelligence-driven solutions for some of agriculture’s biggest problems: labor, water, weather, and climate change.
University of Virginia Biocomplexity Institute Launches National COVID-19 Medical Resource Demand Dashboard
New tool provides projections of critical data on bed capacity and hospitalization rates.
Mandy Wilson joined Virginia's First Lady, Pamela Northam, student STEM Advocate, Jordan Wright and other women in science to discuss women in STEM and give advice as to the field.
Biocomplexity Institute Develops COVID-19 Dashboard Projecting Hospital Capacity Scenarios in Virginia
Will our hospitals have the capacity to care for those who become infected? This question remains at the heart of COVID-19 planning and response discussions everywhere as public health officials and policy makers consider how lifting interventions such as stay-at-home orders will impact a potential resurgence of the disease.
Biocomplexity Institute Leads CDC Research to Study Influenza Mitigation with Computer Modeling and Simulation
While vaccination is the primary and most effective way to prevent sickness and death caused by flu, the CDC reports that less than 40 percent of Americans age 18 and older typically receive a flu shot. This begs the question: what additional mitigation and prevention methods might improve the public health response and policy development for the flu?