Md Tanbin Rahman

I am currently a 4th year PhD student in the Department of Biostatistics, University of Pittsburgh under the supervision of Dr. George Tseng.

Research Interest:

Machine learning
Bayesian modeling
Variable selection in high-dimensional data
Analysis of multiomics data (Genomics, transcriptomics, proteommics, methylation data, etc.)

Contact Information:

BS in Applied Statistics, University of Dhaka, Bangladesh . 2009-2012.
MS in Applied Statistics, University of Dhaka, Bangladesh. 2013-2014. Advisor: Dr. Syed Shahadat Hossain
PhD candidate in Biostatistics, University of Pittsburgh, USA. 2015- . Advisor: Dr. George Tseng

Tianzhou Ma* , Zhiguang Huo*, Anche Kuo*, Li Zhu, Fang Zhou, Xiangrui Zeng, Chien-Wei Lin, Silvia Liu, Lin Wang, Peng Liu, Tanbin Rahman, Lun-Ching Chang, Sunghwan Kim, Jia Li, Yongseok Park, Chi Song and George C. Tseng. (2018). MetaOmics - Comprehensive analysis pipeline and web-based software suite for transcriptomic meta-analysis. Bioinformatics . 2018 Oct 10 .
Brandon C. McKinney, Chien-Wei Lin, Tanbin Rahman, Hyunjung Oh, David A. Lewis, George Tseng, Etienne Sibille(2018). DNA methylation in the human frontal cortex reveals a putative mechanism for age-by-disease interactions. Translational psychiatry. 2019 Jan 29;9(1):39.
Tanbin Rahman, Hsin-En Huang, An-Shun Tai, Wen-Ping Hsieh and George C. Tseng. A sparse negative binomial classifier with covariate adjustment for RNA-seq. Submitted (Annals of applied statistics).
Tianzhou Ma, Tanbin Rahman, Li Zhu, Xiangrui Zeng, Jingyi J. Li and George C. Tseng. Characterization and functional annotation of differential transcriptomic systems in animal model and cross-species evaluation. Ready to submit (PNAS).
Tanbin Rahman, Tianzhou Ma and George C. Tseng. Sparse negative binomial model based clustering for RNA-seq count data. Ready to submit (Biometrics).

"Cross-Species Gene Expression Analysis: Resemblance between Human and Mice Models ". ENAR 2017, Spring meeting (Washington DC, USA).
"Sparse negative binomial model based clustering for RNA-seq count data". ENAR 2019, Spring Meeting (Philadelphia, PA, USA).

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