Pursuing the Structures of Complex Biomedical Data

Speaker: Chen Chao, PhD, Assistant Professor, Department of Computer Science, CUNY Queens College & CUNY Graduate Center

Title: Pursuing the Structures of Complex Biomedical Data

Time: Thursday, 11:00 am- 12:00 pm

Location: Basic Science Tower, L8 Seminar Room 180

AbstractData science is reshaping biomedical research. Powerful learning methods have been developed to analyze an unprecedented quality and quantity of data. However, we observe a progressively wider gap between these methods and biomedical researchers’ quest for sensible explanations of different phenomena. This gap is largely due to the booming complexity in both the data and the methods. In this talk, I will present two projects in which we designed specialized learning and image processing methods to bring biomedical researchers closer to the truth they are after. In cardiac image analysis, we extracted and analyzed the complex and topology-rich inner surface of human ventricles. In another project, we generated multiple hypotheses from a probabilistic model for domain experts to explore. In both cases, we seek to present the data and the model in a global structural view using topological data analysis and probabilistic graphical models.