Professional Summary
Steve Qin is an Assistant Professor of Biostatistics. He received his Ph.D. in statistics in 2000 from the University of Michigan. He finished his postdoctoral training at Harvard in 2003 and joined the University of Michigan faculty that same year. Dr. Qin's research interests are Bayesian modeling, statistical computing, statistical genetics, and computational biology. Recently, together with collaborators, he has developed new algorithms for reconstructing haplotypes from genotype data, and is investigating how these tools will aid scientists to locate genetic variants linked to complex diseases. He is also interested in biological sequence analysis, searching for statistical significant features in the genome and using them to infer biological functions. His interest in statistical methodology lies in Markov chain Monte Carlo based computation techniques.
Courses Taught
BIOSTAT601: Probability and Distribution Theory
Syllabus (PDF)
BIOSTAT646: Data Analysis in Molecular Biology
Education
Ph.D., Statistics, University of Michigan, 2000
B.S., Probability and Statistics, Peking University,
Research Interest & Projects
My research interests include statistical genetics, computational biology, and statistical computing.
Selected Publications
Qin, Z.S., McCue, Thompson, W., Mayerhoffer, L., Lawrence, C.E. and Liu, J.S. (2003). Identification of co-regulated genes through Bayesian clustering of predicted regulatory binding sites. Nature Biotechnology, 21, 435-439.
Qin, Z.S., Niu, T. and Liu, J.S. (2002). Partition-Ligation EM Algorithm for Haplotype Inference with Single Nucleotide Polymorphisms. American Journal of Human Genetics, 71, 1242-1247.
Niu, T., Qin, Z.S., Xu, X. and Liu, J.S. (2002). Bayesian haplotype inference for multiple linked single nucleotide polymorphisms. American Journal of Human Genetics, 70, 157-169.
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