Tien-ho (Henry) Lin Graduate Student Language Technology Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Office: 4505 Newell-Simon Hall Phone: 412-268-3559 Email:

Welcome to my homepage!

I am a Ph.D. student at LTI. My interest is computational biology. I currently work on analyzing time series gene expression data using statistical machine learning approach. My advisors are Dr. Ziv Bar-Joseph and Dr. Robert Murphy. I am a member of the Systems Biology Group.

During the Masters in Language Technologies program, I worked with Prof Eric Xing on forensic genetics, motif discovery, and regulatory evolution. In forensic genetics, we have developed a novel screening algorithm for mass disaster victim identification, based on a probabilistic model that incorporates uncertainties in DNA sampling, sample-clustering, and inheritance in pedigrees (Lin et al, 2006). In motif discovery, we aimed to decipher cis-regulatory signal in metazoan species by developing more sophisticated motif distribution and alignment models. In regulatory evolution, we studied the evolution of cis-regulatory modules of segmentation genes in several Drosophila species.

Education

Ph.D. student in Language Technology, Carnegie Mellon Univ, Pittsburgh, PA (advisors: Dr. Ziv Bar-Joseph and Dr. Robert Murphy)
M.S. in Language Technology, Carnegie Mellon Univ, Pittsburgh, PA (advisor: Prof Eric Xing)
M.S. in Computer Science, National Tsing Hua Univ, Hsinchu, Taiwan (advisor: Prof Von-wen Soo)
B.S. in Mathematics, National Tsing Hua Univ, Hsinchu, Taiwan

Publication

Lin, T. H., Kaminski N., and Bar-Joseph, Z., Alignment and Classification of Time Series Gene Expression in Clinical Studies, Bioinformatics, 24(13):i147-i155, 2008. The 16th International Conference on Intelligence Systems for Molecular Biology (ISMB 2008).
supporting website

Lin, T. H., Ray, P. R., Sandve, G. K., Uguroglu, S., and Xing, E. P., BayCis: a Bayesian hierarchical HMM for cis-regulatory module decoding in metazoan genomes, Proceedings of the 12th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2008).

Lin, T. H., Myers, E. W., and Xing, E. P., Interpreting Anonymous DNA Samples From Mass Disasters --- probabilistic forensic inference using genetic markers, Bioinformatics, 22(14):e298-e306, 2006. The 14th International Conference on Intelligence Systems for Molecular Biology (ISMB 2006).

Lin, T. H. and Soo, V. W., Pruning Fuzzy ARTMAP Using the Minimum Description Length Principle in Learning Clinical Databases, Proceeding of IEEE International Conference on Tools for Artificial Intelligence, 1997.

Lin, T. H., Learning and Prediction from Clinical Databases using Fuzzy ARTMAP, Master thesis, 1997

Last updated: 17 Feb 2008