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Personal Profile

Yunlong Liu
Yunlong Liu
Associate Professor
Contact
317-278-9222 office
317-278-9217 fax
Association
Department of Medical and Molecular Genetics
Indiana University School of Medicine
Education
  • BS Automation, 1996: Harbin Engineering Univ., Harbin, China
  • MS Automation, 1999: Tsinghua Univ. Beijing, China
  • PhD Biomedical Eng., 2004: Purdue University
  • Postdoc, 2004-2006: Indiana Univ. School of Medicine
Current Appointments
  • 2012-present: Associate Professor of Molecular and Medical Genetics, Indiana University School of Medicine, Indianapolis, IN
  • 2012-present: Associate Professor of Medicine, Division of Biostatistics, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN
  • 2006-present: Member, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
  • 2006-present: Member, Center for Medical Genomics, Indiana University School of Medicine, Indianapolis
  • 2007-present: Editorial board, Journal of Functional Informatics and Personalised Medicine
  • 2007-present: Editorial board, Journal of Journal of Computational Biology and Drug Design
  • 2007-present: Editorial board, Journal of Computational Intelligence in Bioinformatics and Systems Biology
  • 2008-present: Editorial board, Protein and Peptide Letters
  • 2010-present: Associate Editor, BMC Genomics
  • 2010-present: Member of Internal Advisory Committee for Susan G. Koman Tissue Bank
Previous Appointments
  • 2009-2012: Assistant Professor of Molecular and Medical Genetics, Indiana University School of Medicine, Indianapolis, IN
  • 2006-2012: Assistant Professor of Medicine, Division of Biostatistics, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN
  • 2001-2004: Research Assistant, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN
Awards, Honors and Distinguished Professional Activities
  • 2007: Achievement Award for the 2007 World Congress in Computer Science, Computer Engineering & Applied Computing
  • 2009: CAMDA (Critical Assessment of Missive Data Analysis) 2009 Best Presentation Award (http://www.camda2009.org).
Research Interest
Using statistical and informatics approaches, Dr. Liu’s laboratory develops computational methodologies to study transcriptional, post-transcriptional and epigenetic regulation. High-throughput experimental data from multiple domains are integrated. Dr. Liu’s laboratory is actively developing methodologies and informatics pipelines in analyzing data from next generation sequencing technology, including DNA sequencing, RNA-seq, ChIP-seq, and so on.