Working Experience(Position) 

2002 - Present Director, Intramural IT and Bioinformatics Program, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.

2014 - Present Member, NIH Executive IT Budget Advisory Committee (IT-BAC), Bethesda, MD.

2014 - Present Associate Editor, Computer Methods and Programs in Biomedicine, Elsevier Publisher.

2012 - Present Co-Chair, NIH High Performance Computing and Network Working Group, Bethesda, MD.

2012 - Present Member, NIH Biomedical Informatics Coordination (BMIC) Working Group, Bethesda, MD

Education

1995 - 1996 Research Associates (Comp. Biology) Washington Univ. in St. Louis, MO

1992 - 1995 Postdoc (Protein Structure/Biochem.) Northwestern University, Evanston, IL

1988 - 1992 Ph.D. (Computational Chemistry) Temple University, Philadelphia, PA

1980 - 1984 B.S. (Chemistry) Tamkang University, Taipei, Taiwan

About me

ROFESSIONAL TRAINING

Jan 2016NIH NINDS Advanced Research Training (Sabbatical)

Sept 2013NIH Executive Leadership Training Program (EXLP)

Professional Society and Community Services

2003-presentHealth Level Seven (HL7) USA

2002-presentInternational Society for Computational Biology (ISCB)

1998-presentAmerican Association for the Advancement of Science (AAAS)

HONORS AND AWARDS

2017Bio-IT World Best Practice Award for IBIS (Judge's Choice)

2015NIH CIT Director Award on Biomedical Research System Innovations

TEACHING EXPERIENCE

Feb 2018Graduate Course on "Biomedical A.I. for Neuroscience Research", Asia Univ., Taichung

Dec 2017Graduate Course on "Special Topics on BIG Data Analytics" Asia Univ, Taichung

Feb 2016Graduate Course on "Special Topics in Biomedical informatics", TMU, Taipei

PEER REVIEWED Scientific Publications

• Ching-Heng Lin, Kai-Cheng Hsu, Kory R. Johnson, Marie Luby, Yang Cheng Fann; "Automated outlier Identification for Validation (AIV) of Stroke Outcomes Using Multiple Large Repositories", JMIR, submitted.
• Kai-Cheng Hsu; Ching-Heng Lin; Kory R. Johnson; Chi-Hung Liu; Ting-Yu Chang; Kuo-Lun Huang; Yang C. Fann; Tsong-Hai Lee; "Use of Machine Learning to Autodetect Extracranial and Intracranial Artery Stenosis", Stroke, Submitted.
• Ueng‐Cheng Yang, Tzu‐Hung Hsiao, Ching‐Heng Lin, Wei‐Ju Lee, Yu‐Shan Lee, Yang C. Fann; "Integrative LHS for precision medicine research: A shared NIH and Taiwan CIMS experience", Learn Health Sys. 2019;3:e10071.