| | | |
| | |
| |
| | |
| |
| |
Chun-Nan Hsu, Ph.D. has more than 15 years of academic
research experience in the field of Artificial Intelligence and
Bioinformatics. His doctoral thesis research involved data mining,
machine learning and information integration. Before he
passed his doctoral oral exam, he was offered a position as Assistant
Professor at the Department of Computer Science and Engineering at
Arizona State University. He taught there for two years before he
returned to Taiwan. From 2005 to 2011, he was awarded a grant to lead
the IT component in the national bioinformatics core facility in the
National Research Program for Genomic Medicine in Taiwan, where he applied
innovative machine learning and information integration technologies
to solve research problems in genomic medicine. His team developed
widely used tools including FASTSNP for functional analysis of gene variations,
AIIAGMT for biologial text mining, and cell image analysis.
AIIAGMT is one of the world's most accurate gene mention tagging tools ranked at the top
in international biological text mining challenges. He served as the president of the Taiwanese Association for Artificial Intelligence (TAAI) from 2009 to 2011 and is a senior member of Association for Computing Machinery (ACM) since 2011.
At USC/ISI, he has been working on applying innovative machine learning and data mining technologies to Big Data for bio and medical science research.
Active topics of his research include cell image analysis for cell biology research and high-throughput drug screening, large scale biological text mining, and data mining for genome-wide assocation studies.
| |
| |
| |
