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Title:

High dimensional data analytics for gene network problems


Abstact

¡¡ This presentation discusses the recent development of methodologies for estimating cancer gene networks, which has been a very important problem in genomic projects for decades. To estimate the gene pathway, a directed acyclic graph in terms of probabilistic graphical modeling has been used. However, with ultra-high dimensional data, the estimation of the gene pathways or gene networks is a very challenging problem. We discuss the recent development to estimate gene networks based on many analytic methods such as statistics, graph theory, and optimization. For high dimensional data, a variable selection technique is the first obstacle, which is an emerging topic in the area of statistics. Another challenging obstacle is how to estimate the network structure since the problem is a mixed integer nonlinear optimization with a cyclic constraint. Finally, we discuss the inferences and application with the estimation of the network.

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Bio

Research interest

  • Methodology: Probabilistic Graphical Modeling (Directed Acyclic Graph), Sequential Change Point Problem, Change Detection in Longitudinal Data
  • Application : Genetic Network, Bioinformatics, Spatiotemporal Heath Care Surveillance

Research experience

  • Assistant Professor (Mar. 1, 2016¡¡–¡¡Current), School of Industrial Management Engineering, Korea University
  • Senior Research Scientist (Jan. 1, 2016¡¡–¡¡Mar. 1, 2016), Division of Biostatistics, Department of Population Health, School of Medicine, New York University
  • Research Scientist (Aug. 28, 2013¡¡–¡¡Dec. 31, 2015), Division of Biostatistics, Department of Population Health, School of Medicine, New York University
  • Post-doctoral Fellow (July 9, 2012¡¡–¡¡Aug. 27, 2013), Translational Technologies and Bioinformatics, Department of Non-clinical Safety, Hoffmann-La Roche Inc / Division of Biostatistics, Department of Population Health, New York University
  • Post-doctoral Researcher (July 1, 2010 - June 30, 2012), Department of Biostatistics and Epidemiology / Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania

Education

  • Ph.D. in Industrial Engineering (Statistics) (Jan. 10, 2005 - Aug. 6, 2010), H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
  • M.S. in Mathematics (Aug. 18, 2003¡¡–¡¡May 8, 2010), Department of Mathematics, Georgia Institute of Technology
  • M.S. in Statistics (Aug. 18, 2003 - Dec. 15, 2007), H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
  • M.S. in Operations Research (Aug. 18, 2003 - Dec. 16, 2006), H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
  • B.Eng in Industrial System and Information Engineering (Mar. 1, 1995 - Aug. 25, 2003), Korea University

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