Jung-Hoon Woo

Jung-Hoon Woo

Titles

Data Scientist, KPMG

As a graduate student in the Califano Lab, my research has focused on improving methods for understanding drug mechanism of action (MoA). Identifying drug MoA is critical for the development of new drugs, for understanding the mechanisms behind the occurrence of drug side effects, and for repositioning existing drugs. I developed an algorithm, DeMAND (Detecting Mode of Action Using Network Dysregulation), which uses a systems biology approach to determine a drug mode of action based on gene expression microarray data. I have also been involved in a project focusing on neuroendocrine tumor sequencing and analysis. In particular, I have focused on developing a computational analysis pipeline for reducing false positive somatic SNV calls from FFPE samples and interrogating tumor clonal evolution.

Before joining the Califano Lab, I was involved in a variety of clinical research projects as a microarray data analyst at Seoul National University Hospital. I then moved to the Bioinformatics Research Center at MACROGEN, Inc. The company collaborated with major Korean hospitals to develop genome-based prognostic or diagnostic kits. I utilized numerous genomic platforms, such as SNP chips, mRNA expression chips, array CGH, and methylation chips to develop more robust diagnostic and prognostic kits.


Education History

MS, Seoul National University
Bioinformatics

BS, Seoul National University
Chemical Engineering


Publications

Woo JH, Shimoni Y, Yang WS, Subramaniam P, Iyer A, Nicoletti P, Rodríguez Martínez M, López G, Mattioli M, Realubit R, Karan C, Stockwell BR, Bansal M, Califano A. Elucidating compound mechanism of action by network perturbation analysis. Cell. 2015 Jul 16;162(2):441-51. 

Giorgi FM, Lopez G, Woo JH, Bisikirska B, Califano A, Bansal M. Inferring protein modulation from gene expression data using Conditional Mutual Information. (submitted)

Woo JH, Lai AM, Chung W, Weng C. Knowledge-based similarity analysis of risk predisposition in personal genomes: proof of concept. AMIA Annu Symp Proc. 2011;2011:1524-31. Accepted as one of the eight finalists in the best student paper competition

Han W, Woo JH*, Jeon YK, Ko E, Kim TY, Im SA, Oh DY, Park IA, Hwang KT, Moon HG, Yang KS, Yang SJ, Noh DY. 17p12 deletion in breast cancer predicts resistance to neoadjuvant chemotherapy. Exp Ther Med. 2011 Sep;2(5):799-804.

Han W, Woo JH, Yu JH, Lee MJ, Moon HG, Kang D, Noh DY.  Common genetic variants associated with breast cancer in Korean women and differential susceptibility according to intrinsic subtype. Cancer Epidemiol Biomarkers Prev. 2011 May;20(5):793-8.

Park JH, Woo JH*, Shim SH, Yang SJ, Choi YM, Yang KS, Cha DH. Application of a target array comparative genomic hybridization to prenatal diagnosis. BMC Med Genet. 2010 Jun 24;11:102.

Woo JH, Cho SB, Lee EJ, Kim JH. Identifying regulatory relationships among genomic loci, biological pathways, and disease. Artif Intell Med. 2010 Jul;49(3):161-5. 

Hur K, Lee HJ, Woo JH, Kim JH, Yang HK. Gene expression profiling of human gastrointestinal stromal tumors according to its malignant potential. Dig Dis Sci. 2010 Sep;55(9):2561-7.

Woo JH, Yang SJ, Shin MJ, Oh EH, Kang HW, Jeong YJ (2010) Replication of the association between copy number variation on 8p23.1 and autism by using ASD-specific BAC array. Genomics and Informatics 8(1): 19–27.

Joint-first author


Address


Lab Staff