User:Chunnanhsu

My name is Chun-Nan Hsu .I am currently a project scientist leading several large NLP projects at the University of California, San Diego. I earned my PhD in Computer Science from the University of Southern California in 1996. After I graduated, I was appointed Assistant Professor in Computer Science & Engineering at Arizona State University before I joined Academia Sinica, Taiwan (1998-2014) and was promoted to a tenured position in 2008. I led the Informatics group of the Advanced Bioinformatics Core Service of National Research Program in Genomic Medicine (2006-2011). My team developed widely used software tools for biomedical sciences, including tools for celluar image analysis and SNP prioritization. I was elected as the 8th President of the Taiwanese Association for Artificial Intelligence (2009-2011). Before joining UCSD, I was a Computer Scientist at the Information Sciences Institute, University of Southern California (2009-2013), where I was the main author of the grant proposal and key-investigator of the NHLBI PFINDR project. My research has also contributed to the basic research of machine learning. For example, I developed new machine learning algorithms to scale up training of conditional random fields, Bayesian networks, support vector machines, and Deep Convolutional Neural Networks using big data in 2009 [a]. At UCSD, I have been leading teaching and research in biomedical natural language processing (NLP) and text mining. I served as PI for an NHGRI-funded bioNLP project aiming at automatically curating a catalog of genome-wide association studies (GWAS), and chair of NLP Working Group of the pSCANNER project (PI: Lucila Ohno-Machado), a consortium of 9 medical centers funded by the Patient-Centered Outcome Research Institute (PCORI). I have been teaching the course “Introduction to Biomedical Natural Language Processing” for both graduate (engineering and biology) and medical students. I have published more than 100 highly cited peer-reviewed research articles in the fields of machine learning, data mining, biomedical informatics, and AI for healthcare (e.g., [b]). I was awarded Senior Member of Association of Computing Machinery (ACM) in 2011 and the IBM Faculty Award in 2012 for the distinguished contributions to biomedical text mining.