Wei Guan




Education

Bioinformatics PhD candidate, College of Computing, Georgia Institute of Technology
M.S. degree in Computer Science, Illinois Institute of Technology (IIT), 2005
B.E. degree in Computer Science, University of Science & Technology of China (USTC), 2003

Research Interests

Data Mining, Text mining on Biomedical Data/Literature, Data Management

Research Advisors

Prof. Alexander Gray, Prof. Sham Navathe

RESUME (wguan @ cc.gatech.edu)


SELECTED COURSES

Design & Analysis of Algorithms, Advanced Database Systems, Foundation of Machine Learning & Data Mining, Natural Language Processing & Learning, Bioinformatics, Biostatistics, Simulation of Biological Sys, Computational Statistics, Nonlinear Optimization, Multivariate Data Analysis, Financial Optimization


RESEARCH EXPERIENCE

Fast Computing Lab, College of Computing, Georgia Tech, 2007 - 2010. Advisor: Prof. Alexander Gray

Database Lab, College of Computing, Georgia Tech, 2005 - 2007. Advisor : Prof. Sham Navathe

Information Retrieval Lab, Illinois Inistitute of Technology, 2004 - 2005. Advisor Prof. Ophir Frieder

Artificial Intelligence Lab, Univ. of Sci. & Tech. of China, 2002 - 2003. Advisor: Prof. Qingsheng Cai:


WORK EXPERIENCE

IBM T.J Watson Research Center, medical text and image analysis group, summer 2007. Manager: Dr. Anni Coden

Yahoo data mining research group, summer 2006. Manager: Dr. Pavel Berkhin


PUBLICATIONS

- W. Guan, A. Ozakin, A. Gray, J. Borreguero, S. Pandit, J. Skolnick. Learning protein folding energy function. Research in Computational Molecular Biology (RECOMB) 2010, submitted

- W. Guan, M. Zhou, C. Hampton, A. Gray, J. McDonald, F. Fernandez. Ovarian cancer detection from metabolomic liquid chromatography/ mass spectrometry data by support vector machines. BMC bioinformatics, 10:259, 2009

- A. Coden, G. Savova, I. Sominsky, M. Tanenblatt, J. Masanz, K. Schuler, J. Cooper, W. Guan, P.C. Groen. Automatically extracting cancer disease characteristics from pathology reports into a disease knowledge representation model. Journal of Biomedical Informatics, available online 2008

- S. Navathe, U. Patil, W. Guan. Genomic and proteomic databases: foundations, current status and future applications. Journal of Computing Science and Engineering 2007, 1:1

- W. Guan, A. Gray, S. Navathe, N. Bowen, J. McDonald. Discovering ovarian cancer biomarkers using gene ontology based microarray analysis. Workshop on Data Mining for Bioinformatics, 2007


TA EXPERIENCE


LINKS


Last Modified: Sep. 9th, 2009