Dr. Chien-Yu Chen (陳倩瑜)

Dr. Chien-Yu Chen (1974 ~ ) is currently a professor of department of Bio-Industrial Mechatronics Engineering, National Taiwan University. She holds a B.S. degree of Electrical Engineering from National Taiwan University (1996), a M.S. degree of Electrical Engineering from Stanford University (1998), and a Ph.D degree of Computer Science and Information Engineering from National Taiwan University (2003). During the Ph.D program, she initiated the research of Bioinformatics, and has mainly focused on developing algorithms for analyzing protein and DNA sequences for more than ten years. She has been an Assistant Professor of Graduate School of Biotechnology and Bioinformatics in Yuan Ze University from Feb. 2004 to July 2005, where she started her academic career.

Ph.D. Students


Mei-Ju May Chen (陳玫如)

Mei-Ju joined c4Lab in 2006. At that time, she was a 3rd-year undergraduate student. Mei-Ju completed the M.S. thesis in 2009, and started the Ph.D. study in 2010. Her research interests include gene expression analysis, regulatory network analysis, TF-TF interactions, RNA-seq and ChIP-seq data analysis, and long non-coding RNA discovery. (git / google scholar / linkedin)



Dr. Chen-Ming Hsu (許振銘)

Dr. Hsu joined c4Lab since c4Lab was established in 2005. Dr. Hsu developed an efficient sequential pattern mining algorithm, and successfully applied it to many important biological problems, including protein functional motif discovery, transcription factor binding site prediction, and ChIP-seq data analysis. Dr. Hsu is currently an assistant professor in the department of Computer Science and Information Engineering (CSIE), Chien Hsin University of Science and Technology.


Dr. Ting-Ying Chien (簡廷因)

Ting-Ying joined c4Lab in 2006. He received the M.S. degree in 2008 and the Ph.D. degree in 2013. We first met in Yuan Ze University, in a course named "Introduction to Bioinformatics". Dr. Chien has accumulated expertise in protein sequence and structure analysis, protein functional site prediction, and transcriptome sequencing (RNA-seq) data analysis.