| Hong-Hee Won / Ph.D. |
Name : Hong-Hee Won Ph.D.
Department : SAIHST
Title : Associate Professor
Office : Samsung Comprehensice Cancer Center B4-125
E-mail : wonhh@skku.edu
Homepage : http://wonlab.skku.edu
Lab. title : Genomics and Digital Health Laboratory
Related Department : Department of Health Sciences and Technology,Department of Digital health
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■ Careers 1998 – 2002 B.S. in Computer Science, Yonsei University 2002 – 2004 M.S. in Computer Science, Yonsei University 2007 – 2011 Ph.D. in Bio and Brain Engineering, KAIST 2004 – 2012 Researcher, Samsung Biomedical Research Institute 2012 – 2015 Research Fellow, Massachusetts General Hospital, Broad Institute, Harvard Medical School 2016 – Present Assistant Professor, Research Institute for Future Medicine, Samsung Medical Center 2016 – Present Assistant Professor, SAIHST, Sungkyunkwan University ■ Research Summary We apply diverse techniques of bioinformatics, statistics, and machine learning to merge and analyze huge genomic data and clinical data from electronic medical records (EMR) and identify genetic variation and genes that cause various human diseases. In addition, we integrate patients’ genetic profile and health profile and develop systems that predict and prevent disease and guide personalized medicine based on the patients’ profile. We published >30 publications in the fields of genomics, bioinformatics, and data science, including publications in Nature, New England Journal of Medicine, and Nature Genetics. ■ Keyword Medical and population genomics, Digital health informatics, Machine learning, Artificial intelligence, Big data analysis ■ Selected Publications 1. Disproportionate contributions of select genomic compartments and cell types to genetic risk for coronary artery disease. PLoS Genet. 2015 Oct 28;11(10):e1005622. 2. A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease. Nat Genet. 2015 Oct;47(10):1121-30. 3. Breakpoint mapping by whole genome sequencing identifies PTH2R gene disruption in a patient with midline craniosynostosis and a de novo balanced chromosomal rearrangement. J Med Genet. 2015 Oct;52(10):706-9. 4. Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction. Nature. 2015 Feb 5;518(7537):102-6. 5. Inactivating mutations in NPC1L1 and protection from coronary heart disease. N Engl J Med. 2014 Nov 27;371(22):2072-82 |
