Pan Chao - Department of Statistics, Purdue University
Pan Chao
2419 Catalina Ln. – West Lafayette, IN 47906 H (765) 337 8908 • B [email protected] • Í stat.purdue.edu/∼panc
Education Ph.D. in Statistics Purdue University
West Lafayette, IN Expected Spring 2016
Thesis: Kernel Methods for Exploratory Data Analysis and Graphics with Application on Big Data Advisor: Professor Michael Zhu
M.S. in Statistics Purdue University B. Econ. in Banking & International Finance Shanghai University of Finance & Economics
West Lafayette, IN May 2010 Shanghai, China June 2008
Projects present
Kernel Methods for Exploratory Data Analysis and Graphics
{ Using kernel methods for exploratory data analysis and statistical modeling for non-parametric regression and classification and statistical modeling { Developing visualization tools to facilitate structure exploration { Developed OKGT-reg Python package
Visual Analytics Science and Technology (VAST) Challenge 2015
May 2015 – July 2015
{ Created a pipeline of working with MySQL database in R { Applied mixture of multinomials model in visitor clustering according to their site-visiting profiles { Analyzed data in Gephi using various network models to discover communication patterns
Classification on German Credit Data
December 2013
{ Implemented Linear Discriminant, KNN, linear and non-linear SVMs with cross-validation in R { Compared performance of a wide array of classification methods on the data
Financial Analyst, Shanghai Great Wisdom Co., Ltd.
November 2011 – June 2012
{ Built a database for international macro-economic data { Developed data validation procedures in Excel and R { Designed and implemented data analysis for currency indexing
Research Assistant, Purdue College of Health & Human Sciences
2009 – 2011
{ Collected and processed survey data for finance, nutrition and family programs in Indiana { Analyzed data using linear regression, logistic regression and ANOVA in SAS { Composed reports and communicated with the Director of Extension Office
Experience Instructor Department of Statistics, Purdue University
West Lafayette, IN 2012 – 2015 1/2
Fully responsible for teaching STAT225 Introduction to Probability Models, a introductory course to probability and statistics. { Developed a performance tracking application in R Shiny { Prepared and presented lectures { Prepared, administered and graded exams, quizzes and homework { Conducted office hours, exam review and help sessions
Teaching Assistant Department of Statistics, Purdue University
West Lafayette, IN 2009
{ Tutored lab sessions for Elementary Statistical Methods course { Graded lab assignments and exams { Organized and conducted help sessions
Publications Pan Chao, Qiming Huang, and Michael Zhu. "Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics." Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015).
Presentations 2015: Pan Chao, Qiming Huang and Michael Zhu, Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia. 2015: Pan Chao, Qiming Huang and Michael Zhu, Kernel Optimal Transformations. Graduate Student Organization (GSO) Seminar Series, Purdue University, West Lafayette
Awards 2015 – 2016: Bilsland Dissertation Fellowship 2015: SIGKDD 2015 Student Travel Award 2015: Purdue Statistics Department Student International Travel Award 2015: Purdue College of Science Student International Travel Award 2015 Summer: Purdue Research Foundation Fellow 2014 Summer: Purdue Research Foundation Fellow 2013 Summer: Purdue Research Foundation Fellow
Computer skills Programming: Python, Scala, Matlab, C, Java Statistics: R, SAS, SPSS Web: html, CSS Database: MySQL Big Data related: Spark, Hadoop
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2419 Catalina Ln. – West Lafayette, IN 47906 H (765) 337 8908 • B [email protected] • Í stat.purdue.edu/∼panc
Education Ph.D. in Statistics Purdue University
West Lafayette, IN Expected Spring 2016
Thesis: Kernel Methods for Exploratory Data Analysis and Graphics with Application on Big Data Advisor: Professor Michael Zhu
M.S. in Statistics Purdue University B. Econ. in Banking & International Finance Shanghai University of Finance & Economics
West Lafayette, IN May 2010 Shanghai, China June 2008
Projects present
Kernel Methods for Exploratory Data Analysis and Graphics
{ Using kernel methods for exploratory data analysis and statistical modeling for non-parametric regression and classification and statistical modeling { Developing visualization tools to facilitate structure exploration { Developed OKGT-reg Python package
Visual Analytics Science and Technology (VAST) Challenge 2015
May 2015 – July 2015
{ Created a pipeline of working with MySQL database in R { Applied mixture of multinomials model in visitor clustering according to their site-visiting profiles { Analyzed data in Gephi using various network models to discover communication patterns
Classification on German Credit Data
December 2013
{ Implemented Linear Discriminant, KNN, linear and non-linear SVMs with cross-validation in R { Compared performance of a wide array of classification methods on the data
Financial Analyst, Shanghai Great Wisdom Co., Ltd.
November 2011 – June 2012
{ Built a database for international macro-economic data { Developed data validation procedures in Excel and R { Designed and implemented data analysis for currency indexing
Research Assistant, Purdue College of Health & Human Sciences
2009 – 2011
{ Collected and processed survey data for finance, nutrition and family programs in Indiana { Analyzed data using linear regression, logistic regression and ANOVA in SAS { Composed reports and communicated with the Director of Extension Office
Experience Instructor Department of Statistics, Purdue University
West Lafayette, IN 2012 – 2015 1/2
Fully responsible for teaching STAT225 Introduction to Probability Models, a introductory course to probability and statistics. { Developed a performance tracking application in R Shiny { Prepared and presented lectures { Prepared, administered and graded exams, quizzes and homework { Conducted office hours, exam review and help sessions
Teaching Assistant Department of Statistics, Purdue University
West Lafayette, IN 2009
{ Tutored lab sessions for Elementary Statistical Methods course { Graded lab assignments and exams { Organized and conducted help sessions
Publications Pan Chao, Qiming Huang, and Michael Zhu. "Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics." Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015).
Presentations 2015: Pan Chao, Qiming Huang and Michael Zhu, Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia. 2015: Pan Chao, Qiming Huang and Michael Zhu, Kernel Optimal Transformations. Graduate Student Organization (GSO) Seminar Series, Purdue University, West Lafayette
Awards 2015 – 2016: Bilsland Dissertation Fellowship 2015: SIGKDD 2015 Student Travel Award 2015: Purdue Statistics Department Student International Travel Award 2015: Purdue College of Science Student International Travel Award 2015 Summer: Purdue Research Foundation Fellow 2014 Summer: Purdue Research Foundation Fellow 2013 Summer: Purdue Research Foundation Fellow
Computer skills Programming: Python, Scala, Matlab, C, Java Statistics: R, SAS, SPSS Web: html, CSS Database: MySQL Big Data related: Spark, Hadoop
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