In this episode, we will be talking to Brian Klahn and Akhil Sai Peddireddy about the challenges of dealing with the constantly shifting data landscape. In addition to describing the how they curated the varied datasets being used by modelers, they talk about the lessons that can be carried forward.

Brian Klahn is a research scientist in the NSSAC division of Biocomplexity Institute, University of Virginia. Klahn served in the U.S. Navy’s Nuclear Power Program, which included active duty in the first Persian Gulf War. Upon honorable discharge, Klahn went on to earn a B.S. in Molecular Biology, followed by an M.S. in Neuro-Physiology from the University of Wisconsin. His research interests include open, robust and maintainable software systems, biological modeling of many kinds and scales, genomic classification and characterization system. Full bio at https://biocomplexity.virginia.edu/person/brian-klahn

Akhil Sai Peddireddy is a Graduate Research Assistant in the NSSAC division of Biocomplexity Institute, University of Virginia. He is pursuing an MS in Computer Science at the University of Virginia. His research interests include global surveillance of epidemics and time-series forecasting of infectious diseases using statistical and machine learning models. Full bio at https://biocomplexity.virginia.edu/person/akhil-peddireddy