Data science is playing a role in each stage of the COVID-19 pandemic from predicting where and how much the virus will spread, to helping researchers mine through massive datasets in search of potential treatments, to managing and treating currently ill patients.
Join us for a conversation surrounding current and potential data science approaches and applications such as machine learning, natural language processing, computer vision, and deep learning to help track, identify, and ultimately defeat the novel coronavirus.
- Afshin Beheshti, PhD | Bioinformatician and Principal Investigator, KBR at NASA Ames Research Center
- Jessilyn Dunn, PhD | Founder, COVIDENTIFY; Assistant Professor of Biomedical Engineering, Duke University
- Karan Uppal, PhD | Director of Computational Systems Medicine & Metabolomics Lab, Emory University
- Russ Wolfinger, PhD | Director of Scientific Discovery and Genomics, SAS
- Funda Gunes, PhD | Principal Machine Learning Developer, SAS
- Tarry Singh | Founding Member FGAI4H, World Health Organization; Founder, deepkapha.ai