Bioinformatics and Machine Learning for Bioinformatics and Weather Prediction
January 22, 2022
Presented by Jia Li
Professor of statistics and computer science at Penn State
Data is often produced by multiple sources through various modalities, resulting in substantially different predictions. In this talk, Li will introduce methods developed to combine clustering results and generate synthetic ensembled images, the former applied to single-cell data analysis and the latter to address needs in weather forecasting systems. These methods exploit mathematical tools such as optimal transport and the Wasserstein barycenter.