SelfIntroduction

1
Self-Introduction

• Lang Li, Ph.D., Associate Professor, Division of
  Biostatistics, SOM, IUPUI.
• Affiliate Positions
• - Associate Professor, Division of Clinical
  Pharmacology
• - Associate Research Scientist, Regenstrief
  Research Institute
• - Full Member, IU Cancer Center.
• Background
• University of Michigan (Ph.D.)
  Biostatistics(major) /
  Pharmacololgy(minor)
• University of New Mexico (M.A.) Statistics
• Wuhan University of Technology (B.A)
  Mechanical Engineer

2
Main Research Interests

• Pharmacokinetics/pharmacodynamics
• Pharmacogenetics/pharmacogenomics
• Epigenetics
• System Biology (metabolic and gene regulatory
  pathways)
• Data Mining
• Note all of my computational biology and
  bioinformatics research are cancer related.

3
Methods

• Pharmacokinetics/pharmacodynamics
• - Nonlinear differential equation systems
• - Bayesian nonlinear regression model
• Pharmacogenetics/pharmacogenomics
• - Empirical Bayesian approach
• - Mixture model
• Epigenetics
• - Empirical Bayesian approach
• - False discovery control
• System Biology (metabolic and gene regulatory
  pathways)
• - Graphic model
• - Empirical Bayesian approach
• Data Mining
• - Expert based searching template

4
Discovery Highlights

• Pharmacokinetics/pharmacodynamics
• The first probabilistic approach to predict
  drug-drug interaction (Li et al., Stat in Med, in
  press, 2007).
• Epigenetics
• The first set of transcription factor binding
  patterns that distinguish the ERa up/down
  regulated targets in breast cancer cell lines.
  (Li et al., Bioinformatics, 2006, 22 2210-2216)