Resume

• 2004

  PhD

  GO BUCKS!!!

  Statistics

• 2001

  English

  Chinese

  B.A.

  Finance

  Nankai University

• 2000

  B.S.

  Applied Mathematics

  Tianjin University

• Machine Learning

  Statistical Modeling

  LaTeX

  Data Mining

  SPSS

  Data Analysis

  Teaching

  Statistics

  Biostatistics

  Time Series Analysis

  R

  Matlab

  Experimental Design

  Mathematical Modeling

  Research

  SAS

  Predictive Modeling

  Monte Carlo Simulation

  Logistic Regression

  Lei Kang

  Lei Kang

  SSES Program at Dept. of Statistics in OSU

  North Carolina State University

  Commonwealth Scientific and Industrial Research Organization

  University of Cincinnati

  Statistical and Applied Mathematical Sciences Institute (SAMSI)

  National Center for Atmospheric Research

  I was working on statistical analysis of Regional Climate model (RCM) outputs with fully Bayesian hierarchical spatial random effects model and the work is presented in a top-contributed session at the Joint Statistical Meetings 2009 at Washington

  DC.

  National Center for Atmospheric Research

  Postdoc Fellow

  North Carolina State University

  Postdoc Fellow

  Statistical and Applied Mathematical Sciences Institute (SAMSI)

  Associate Professor

  University of Cincinnati

  University of Cincinnati

  Cincinnati

  Assistant Professor

  I am involved in the project "Choosing Smoothing Parameters for Spline Prediction Models with Correlated Errors". My mentors at CSIRO

  Richard Morton and Brent Henderson and I collaborated to develop a new method for choosing smoothing parameter with applications to stream salinity measurement data.

  Commonwealth Scientific and Industrial Research Organization

  Research Associate

  SSES Program at Dept. of Statistics in OSU