Semantic Breakthrough in Drug Discovery / Synthesis Lectures on Data, Semantics, and Knowledge (PDF)

Bin Chen is currently a postdoctoral scholar at Stanford University. His primary interest is to develop tools and algorithms to identify new therapeutics from publicly available data sources. He received his Ph.D. in informatics at Indiana University, Bloomington. During his gradu ate school, he primarily developed three systems (i.e., Chem2Bio2RDF, Chem2Bio2OWL and SLAP) used to represent, integrate and mine semantic data for drug discovery. He interned in three pharmaceutical companies (i.e., Novartis, Pfizer and Merck) for two years during this grad uate school. He has published over 20 scientific papers
Huijun Wang is an Associate Principle Scientist in the Cheminformatics Department at Merck. She leads the competitive intelligence data integration and information retrieval project and also focuses on text mining and data mining of chemical and biological information related to drug discovery. She has worked in the pharmaceutical industry for many years, including four years at Pfizer before joining Merck. She managed the large-scale internal and external data integration, retrieval and mining effects. She graduated from Indiana University with a Ph.D. in Informatics and an M.S. in Computer Science and Cheminformatics
Dr. Ying Ding is an Associate Professor at School of Informatics and Computing, Indiana Uni versity. Previously, she worked as a senior researcher at the University of Innsbruck, Austria and as a researcher at the Free University of Amsterdam, the Netherlands and has been involved in various NIH and European-Union funded Semantic Web projects and has published 170+ papers in journals, conferences, and workshops. She is the co-editor of book series Semantic Web Synthesis by Morgan & Claypool Publisher. She is co-author of the book Intelligent Information Integra tion in B2B Electronic Commerce, published by Kluwer Academic Publishers, and co-author of book chapters in the book Spinning the Semantic Web, published by MIT Press, and Towards the