SungHwan Kim¡¯s Story

Name : SungHwan Kim

Position / Place : Research Assistant / Parran Hall

E-mail : swiss747@gmail.com

Interests : GWAS, Machine Learning

 

Collosians 3:10, and have put on the new self, which is being renewed in knowledge in the image of its Creator.

Education

2011 - Current Ph.D Student, Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA

2007 - 2010 M.S., Statistics, Korea University, Seoul, South Korea

2003 - 2007 B.A., Education, Korea University, Seoul, South Korea

 

Experience

Bio-Statistics Researcher, Clinical Trial Center, Inha Univ. Hospital, July 2010 ~ July 2011

Associate Member, LG Telecom, CRM Team(Insight Marketing), January 2010~July 2010

Statistics Researcher: Dealt with massive Database server through SQL

Military Service, Enlisted in ROK Army as a Supply officer in 73 division Supply and

Transportation battalion, December 2007 ~ December 2008

 

Award

SAS Mining Championship : Second Prize, November 2007, SAS Korea, Seoul

 

Paper

[1] Suh YJ, Kim SH, Choi HS, Nam MS, Kim SH and Sung JH (2011). Genome-wide

linkage and association analyses for the fasting glucose level in Korean population including

monozygotic twins, In progression

 

Proceedings

[1] Suh YJ, Kim SH, Choi HS, Nam MS, Kim SH, Sung JH (2010). Genome-wide linkage

and association analyses for the fasting glucose level in Korean population including

monozygotic twins, In Proceedings of The 2010 IEEE International Conference on

Bioinformatics and Biomedicine (BIBM), Hong Kong.

[2] Kim SH (2010). Weighted KM-SVM with boosting algorithm for improving accuracy, In

Proceedings of The Korean Statistical Society, Suwon, Korea.

[3] Kim SH, Kim SH, Nam MS and Suh YJ (2011). A Segregation Analyses for Type 2

diabetes Susceptibility among Korean population, In Proceedings of The Ninth Asia Pacific

Bioinformatics Conference, Incheon, Korea.

 

Software

wSVM(R package) : Weighted SVM with boosting algorithm for improving accuracy