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  Cuilan "Lani" Gao
Assistant Professor of Statistics

Department of Mathematics
The University of Tennessee, Chattanooga

Office:  EMCS 418F
Phone:  423-425-4554
Fax:      423-425-4586
E-Mail: Cuilan-Gao@utc.edu





       Fall 2016 (Office Hours : 1:30PM-2:30PM TTH or by appointment)

  • Introduction to Probability and Statistics (TTH: 10:50am-12:05pm)

  • Introduction to Probability and Statistics (online)

  • Calculus I (online)

       Previous Semesters



       I-MATH Summer Camp



Before joining UTC, I collaborated with investigators at  St. Jude Children’s Research Hospital  in the areas of bioinformatics and computational  biology. I am interested in 

(1) statistical methodology with applications to biomedical sciences and health science;

(2) statistical inference methods in systems biology and genomewide integrated  analysis with emphasis on applications to cancer genomics; 

(3) methods of analyzing similarity of animal models of human diseases.

My other interests include developing statistical methods for analyzing  mRNA sequencing data (count data) obtained by Next-Generation Sequencing Technology. Currently I am working on a project about developing a statistical procedure to compare accuracy of multiple animal models of human disease.

       Recently funded grants

  • [Co-PI] I-Math: An Interdisciplinary Math Training Platform (Leading PI: Jin Wang in Department of Mathematics at UTC),(NSF#: 1520672), $500,000, 09/01/2015-08/31/2018.

  • [PI] Continuing external grant from UT College of Medicine in Chattanooga via servign as Statistical Consultant. ($5861 per year), 8/2014 -present.



Peer-reviewed Journal Articles

  • F. Domingo, E. Dale  C. Groves. C. Gao, ``A single-center retrospective review of post-operative infectious complications in the surgical management of mandibular fractures: An outcomes analysis ”, Trauma and Acute Care Surgery, Volume 166, Issue 5, p1132-1146.e7, 2016. .

  • L. Zhu, S. Pounds,R. Gilberson, et al. C. Gao, ``Multi-organ mapping of cancer risk ”, Cell, Volume 166, Issue 5, p1132-1146.e7, 2016. .

  • C. Yu, B. Liang, C. Gao, ``Big Data-enabled Multiscale Serviceability Analysis about Aging Bridges ”, Journal of Digital Communications and Networks Vol.2, Issue 3, pp.97–107. .

  • C. Murphy, B. Foster, C. Gao, ``Temporal dynamics in rhizosphere bacterial communities of three perennial grassland ”,  Agronomy 2016, 6, 17; doi:10.3390/agronomy6010017. .

  • B.  Shamsaei, C. Gao, ''Comparison of machine learning and statistical algorithms for Classification of human cancer type ”, Proceedings of IEEE Engineering in Medicine and Biology Society   978-1-5090-2455-1, pp.296-299, 2016.

  • B.  Shamsaei, C. Gao, On the Evaluation of the Most Accurate Animal Model of Pediatric Medulloblastoma ”, Proceedings of Joint Statistical Meeting,   August (2015).

  • L. Landis, M. Brzeienski, C. Gao, The Effect of Progressive-Tension Closure on Donor Site Seroma Formation in Delayed Latissimus Dorsi Flaps for Breast Recon-struction ”, Annals to Plastic Surgery,   May, 7 (2014).

  • C. Gao, S. Pounds, Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data ”, BMC Bioinfomatics 14(S-1):A21.,   (2015).

  • A.H. Gaur, M.R Miller, C. Gao Evaluating Application of the National Healthcare Safety Network Central Line-Associated Bloodstream Infection Surveil-lance Definition: A survey of pediatric Intensive Care and Hematology/Oncology Units, ”, Infection Control and Hospital Epidemiology,   Jul;34(7):663-70, 2013

  • A.H. Gaur, D.G.  Bundy, C. Gao Surveillance of Hospital-Acquired Central Line-Associated Bloodstream Infections in Pediatric Hematology-Oncology Patients: Lessons Learned, Challenges Ahead. , ”, Infection Control and Hospital Epidemiology,   Vol. 34, No. 3,pp. 316-320,2013

  • D. Kawauchi, G. Robinson, T.Uzie, J.Rehg, C. Gao , D. Finkelstein, L. Zhu,C. Qu,S. Pounds, D.W.Ellison,R.J.Gilbertson and M.F.Roussel.“ A Mouse Model for the Most Aggressive Molecular Subtype of Human Medulloblastoma ”, Cancer Cell,   21(2), 168-180 (2012).

  • S. Pounds,  C. Gao , R. Johnson, K.  Wright, H. Poppleton, D. Finkelstein, S. Leary and R. Gilbertson.  “A Procedure to Statistically Evaluate  Agreement of Differential Expression for Crossspecies Genomics”,  Bioinformatics , (15)  2098-2103  (2011).

  • C. Gao, C. Cheng, “ A Phenotype-drive Dimension Reduction  (PhDDR) Approach to Integrated Genomic Association Analysis”, IEEE Engineering Medical Biology Society ,   2011: 6837-6840  (2011).

  • A. Gaur, M Miller, C. Gao and C. Heiser, " Assessing Application of the Nationa Healthcare Safety Nework (NHSN) Central Line Associated Bloodstream Infectious (CLABSI) Surveillance Definition Across Pediatric Sites", Proceedings of Sociaty of Healthcare Epidemiology of America (2011).

  • C. Gao, X. Dang, Y. Chen and D. Wilkins.  “Graph Ranking for Exploratory Gene Data Analysis”,  BMC Bioinformatics   Suppl 11:S19  (2009)

  • S. Pounds, C. Gao. “ Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of mRNA-seq Data” Statistical Applications in Genetics and Molecular Biology 11(5), ISSN (Online) 1544-6115, DOI: 10.1515/1544-6115.1773, October 2012 .

  • A. Gaur, C. Gao and et al. " Surveillance of Central  Line-Associated Bloodstream Infections(CLABSIs) in US Pediatric Hematology-Oncology Inpatients –Lessons Learned,Challenges Ahead ", Infection Control and Hospital Epidemiology, Vol. 34, No. 3, (2013), pp. 316-320.

  • A. Gaur, C.Gao and et al."Assessing Application of  the National Healthcare Safety Network (NHSN) Central Line-Associated Bloodstream Infection (CLABSI) Surveillance Definition Across Pediatric Sites", Vol.34. No. 7 (2013).


    Peer-reviewed Software


  • AGDEX : an open source bioinformatics software package providing statistical procedure to evaluate agreement of differential expression(AGDEX) for cross-species genomics. The package was peer reviewed by Bioconductor(2011). More than 2100 downloads as of November 2012. This method has been adopted by two Nature and one Cancer Cell papers.

  • TUCAN : The purpose of this software is to perform copy number analysis of tumors. The new procedure uses a pair of SNP arrays to identify genomic regions in which the copy number of an individual’s tumor differs from that of the same individual’s control tissue. TUCAN performs differencing, normalization, segmentation, reference selection and alignment in an order that makes the most useful biological and statistical information available at each stage of the analysis.



  • Contributed talk (6/2012), "How to Make Bioconductor Packages Under Windows", The 7th International R User Conference, Vanderbilt University, Nashville, Tennessee.

  • Poster (3/2012), "Analyze mRNA-seq Data using Empirical Bayesian Selection of hypothesis Procedure", Postdoctoral Professional Development Event 2012, Memphis TN.

  • Invited talk (11/2011), "Evaluate the mouse model of pediatric brain tumors by a statistical procedure AGDEX", Department of Mathematics,   The University of Mississppi.

  • Poster (11/2011), "Emipicial Baysian selection of hypothesis testing for analysis of mRNA-seq data", 2011 Faculty/postdoc Poster Session at   St. Jude children's Research Hospital.

  • Poster (9/2011),“Evaluate the similarity of differential expression for cross-species genomics”, 1st Statistical Analysis of Next Generation Sequence Data, the University of Alabama at Birmingham.

  • Seminar(9/2011), "Statistical Methods and Software in Statistical Genetics/ Genomics", Biostatistics Research Seminar, Department of Biostatistics at St. Jude Research Hospital.

  • Contributed talk (8/2011), "Evaluation of the accuracy of a mouse model of human brain diseases by agreement of differential expression", Joint Statistics Meetings, Miami, FL.

  • Contributed talk (3/2011), "Measure agreement of differential expression of cross-species genomics", UT/ORNL/KBRIN Bioinformatics Summit, The Univeristy of Memphis.

  • Seminar (3/2011), " A Statistical Procedure to Measure the Agreement of Differential Expression of Crossspecies Genomics", Biostatistics Research Seminar, St. Jude Children's Research Hospital.

  • Workshop (9/2010), "Evaluate the mouse model of pediatric Ependymoma and Medulloblastoma", Biostatistics and Bioinformatics semina, St Jude Children's Research Hospital.

  • Contributed talk (1/2010), "Graph ranking on gene network”,  Joint Mathematics Meetings, San Francisco, CA.

  • Poster (2/2009), "Gene clustering by graph ranking", Midsouth Computational Biology and Bioinformatics Society (MCBIOS), Mississippi State University.

  • Contributed talk (8/2008), "Graph ranking using Kernelized Depth Function, with Application to Gene Network", Joint Statistics Meeting, Denver, CO.


The Comprehensive R Archive Network

A list of useful functions in R

knitr,Elegant, flexible and fast dynamic report generation with R


I married Weidong who is a structural engineer. We have two little girls Emma (9 yrs) and Elly (4 yrs). I love walking, swimming and reading stories with happy ending.



Last modified: January 2013