Research Fellow  |  Hsu, Chun-Nan  
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Research Descriptions

        Dr. Chun-Nan Hsu is currently Research Fellow and Leader of the Adaptive Internet Intelligent Agents (AIIA) Lab at the Institute of Information Science, Academia Sinica, Taipei, Taiwan. His research interests include machine learning, data mining, databases and bioinformatics. He earned his M.S. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles, CA, in 1992 and 1996, respectively, and his B.S. degree in Computer Engineering from the National Chiao-Tung University, Hsinchu, Taiwan, in 1988. In 1996, before he passed his doctoral oral exam, he had been offered a position as Assistant Professor at the Department of Computer Science and Engineering, Arizona State University, Tempe, AZ. He taught there for two years before he returned to Taiwan in 1998. He gave a plenary presentation in the first International Conference on Knowledge Discovery and Data Mining (KDD) in 1995, the only graduate student among ten other senior scientists as plenary presenters in the conference. In 1997, he was invited to contribute a chapter in the book “Advances in Knowledge Discovery and Data Mining,” once considered the bible of data mining. In 1998, he was invited to contribute a research article to “Data Mining and Knowledge Discovery,” the first scientific journal specialized in the subject. He co-founded DeepSpot Intelligent Systems Inc. in Taiwan in 2001 and won three major government sponsored industrial awards in 2003.

        Since 2005, he has been the principal investigator of the Advanced Bioinformatics Core, National Research Program in Genomic Medicine, Taiwan, and leading one of the largest research efforts in computerized drug design and discovery in Taiwan. In 2006, the first drug candidate due to the use of the software his team developed was commercialized. In 2007, his teams achieved the best scores in the BioCreative 2 text mining challenge, an international contest sponsored by CNIO (Spanish Center of Cancer Research), MITRE Co., and NCBI (National Center for Biotechnology Information, National Institutes of Health, USA). The purpose of the contest was to evaluate whether software systems can extract knowledge from a large collection of bio-medical research text automatically. In 2008, Dr. Hsu’s paper was accepted for oral presentation in ISMB 2008, one of the most prestigious conferences in the field of bioinformatics and computational biology. Dr. Hsu has published 80 scientific articles since 1993. Some of the articles have been cited more than 200 times. Currently, Dr. Hsu has been working on applying artificial intelligence to discover innovative cancer treatments and working on a new machine learning algorithm that can incrementally learn from infinite many training examples.