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Michele Guindani, Ph.D.

Present Title & Affiliation

Primary Appointment

Assistant Professor, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX

Dual/Joint/Adjunct Appointment

Adjunct Assistant Professor, Department of Statistics, Rice University, Houston, TX
Associate Member, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX

Research Interests

My current research interests include the analysis of high-dimensional data, including genomic and imaging data. In particular, I am mostly interested in the development of statistical models for data integration for combining information from several  data platforms, and relating them with measurable outcomes (integrative genomics, imaging genomics), statistical decision making under uncertainty, multiple comparison problems, clustering, Bayesian modeling, Bayesian Nonparametrics.


For more information about my activities and research interests, please access my personal page.

Office Address

Phone: 713-563-4285
Email: mguindani@mdanderson.org

Education & Training

Degree-Granting Education

2005 Universita Commerciale Luigi Bocconi, Milano, Italy, PHD, Statistics
2001 Universita Commerciale Luigi Bocconi, Milano, Italy, MS, Cum Laude, Economics

Experience/Service

Academic Appointments

Assistant Professor, Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, 8/2007-8/2010
Postdoctoral Fellow, Department of Biostatistics, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, 8/2005-8/2007
Research Associate, Statistics and Decision Sciences, ISDS - Institute of Statistics and Decision Sciences, Duke University, Durham, NC, 6/2005-8/2005

Selected Publications

Peer-Reviewed Original Research Articles

1. Cassese A., Guindani M., Vannucci M. A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection. Cancer Informatics. In Press.
2. Waters A., Fronczyk K., Guindani M., Baraniuk R.G. and Vannucci M. A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses. Journal of Statistical Planning and Inference. In Press. NIHMSID: NIHMS625078.
3. Raymond A, Liu B., Liang H, Wei C, Guindani M., Lu Y, Liang S, St.John E., Molldrem J and Nagarajan L. A role for BMP-induced homeobox gene MIXL1 in acute myelogenous leukemia and identification of BMP type I receptor as a potential target for therapy. OncoTarget. In Press.
4. Lee J., Teo I., Guindani M., Reece G.P., Markey M.K., Fingeret M.C. Associations between psychosocial functioning and smiling intensity in patients with head and neck cancer. Psychology, Health & Medicine. In Press.
5. Linlin Zhang, Michele Guindani, Marina Vannucci. Bayesian models for fMRI data analysis. WIREs Computational Statistics. In Press.
6. Graziani R, Guindani M, Thall P. Bayesian Nonparametric Estimation of Targeted Agent Effects on Biomarker Change to Predict Clinical Outcome. Biometrics. In Press.
7. Sun W, Reich B, Cai T, Guindani M, Schwartzman A. False Discovery Control in Large-Scale Spatial Multiple Testing. Journal of the Royal Statistical Society, Series B. In Press. NIHMSID: NIHMS549452.
8. Airoldi E, Costa T, Bassetti F, Leisen F, Guindani M. Generalized Species Sampling Priors with Latent Beta reinforcements. Journal of the American Statistical Association. In Press. NIHMSID: NIHMS617761.
9. Krishna SG, Rao BB, Thirumurthi S, Lee JH, Ramireddy S, Guindani M, Ross WA. Safety of endoscopic interventions in patients with thrombocytopenia. Gastrointest Endosc 80(3):425-34, 9/2014. e-Pub 4/12/2014. PMID: 24721520.
10. Fingeret MC, Nipomnick S, Guindani M, Baumann D, Hanasono M, Crosby M. Body Image Screening for Cancer Patients Undergoing Reconstructive Surgery. Psychooncology 23(8):898-905, 8/2014. e-Pub 2/2014. PMCID: PMC4116641.
11. Shao BS, Guindani M, Boyd DD. Causes of Fatal Accidents for Instrument-Certified and non-Certified Private Pilots. Accid Anal Prev 72C. e-Pub 8/2014. PMID: 25118128.
12. Zhang L, Guindani M, Versace F, Vannucci M. A Spatio-Temporal Nonparametric Bayesian Variable Selection Model of fMRI Data for Clustering Correlated Time Courses. Neuroimage 95:162--175, DOI: 10.1016/j.neuroimage.2014.03.024, 7/15/2014. e-Pub 3/18/2014. PMCID: PMC4076058.
13. Nolte MJ, Wang Y, Deng JM, Swinton PG, Wei C, Guindani M, Schwartz RJ, Behringer RR. Functional analysis of limb transcriptional enhancers in the mouse. Evol Dev 16(4):207-23, Jul-Aug, 7/2014. e-Pub 6/11/2014. PMCID: PMC4130292.
14. Zhang S., Migliaccio G.C., Zandbergen P.A., Guindani M. Empirical Assessment of Geographically-based Surface Interpolation Methods for Adjusting Construction Cost Estimates by Project Location. Journal of Construction Engineering and Management 140(6), http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000850, 6/2014. NIHMSID: NIHMS579384.
15. Shao BS, Guindani M, Boyd DD. Fatal Accident rates for Instrument-Rated Private Pilots. Aviat Space Environ Med 85(6):631-637, 6/2014. PMID: 24919384.
16. Guindani M, Sepúlveda N, Paulino CD, Müller P. A Bayesian Semi-parametric Approach for the Differential Analysis of Sequence Counts Data. J R Stat Soc Ser C Appl Stat 63(3):385-404, 4/2014. PMCID: PMC4017673.
17. Fronczyk K, Guindani M, Vannucci M, Palange A, Decuzzi P. A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles. Comput Mech 53(3):539-547, 3/2014. PMCID: PMC4018201.
18. Cassese A, Guindani M, Tadesse MG, Falciani F, Vannucci M. A Hierarchical Bayesian Model for Inference on Copy Number Variants and their Associations to Gene Expression. Annals of Applied Statistics 8(1):148-175, 3/2014. PMCID: PMC4018204.
19. Jung SY, Hursting SD, Guindani M, Vitolins MZ, Paskett E, Chang S. Bioavailable Insulin- Like Growth Factor-I Inversely Related to Weight Gainin Postmenopausal Women regardless of Exogenous Estrogen. Cancer Epidemiol Biomarkers Prev 23(3):534-44, 3/2014. e-Pub 12/20/2013. PMCID: PMC3968542.
20. Nardo L, Sandman DN, Virayavanich W, Zhang L, Souza RB, Steinbach L, Guindani M, Link TM. Bone Marrow Changes related to Disuse. Eur Radiol 23(12):3422-31, 12/2013. e-Pub 7/7/2013. PMCID: PMC4026184.
21. Di Mascolo D, J Lyon C, Aryal S, Ramirez MR, Wang J, Candeloro P, Guindani M, Hsueh WA, Decuzzi P. Rosiglitazone-loaded nanospheres for modulating macrophage-specific inflammation in obesity. J Control Release 170(3):460-468, 9/28/2013. e-Pub 6/18/2013. PMCID: PMC4076002.
22. Migliaccio GC, Guindani M, D'Incognito M, Zhang L. Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors. J Constr Eng Manag 139(7):858–869, 7/1/2013. PMCID: PMC4092000.
23. Stingo FC, Guindani M, Vannucci M, Calhoun VD. An Integrative Bayesian Modeling Approach to Imaging Genetics. J Am Stat Assoc 108(503):876-891, 1/1/2013. PMCID: PMC3843531.
24. Reich BJ, Eidsvik J, Guindani M, Nail AJ, Schmidt AM. A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration. Ann Appl Stat 5(4):2265-2687, 12/2011. PMCID: PMC3998774.
25. Guindani M, Müller P, Zhang S. A Bayesian discovery procedure. J R Stat Soc Series B Stat Methodol 71(5):905-25, 11/2009. PMCID: PMC2914327.
26. Petrone S., Guindani M. and Gelfand A. E. Hybrid Dirichlet mixture models for functional data. J R Stat Soc Series B Stat Methodol 71(4):755-82, 9/2009.
27. Duan J. A., Guindani M. and Gelfand A. E.. Generalized Spatial Dirichlet Process Models. Biometrika 94(4):809-25, 12/2007.
28. Guindani M. and Gelfand A.E. Smoothness Properties and Gradient Analysis Under Spatial Dirichlet Process Models. Methodology and Computing in Applied Probability 8(2):159-89, 2006.
Other Articles
1. Guindani M. Discussion on "Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions" by Michael Finegold and Mathias Drton. Bayesian Analysis 9(3):567--568, 9/2014.

Book Chapters

1. Guindani M., Zhang L., Versace F., Vannucci M. A Bayesian Variable Selection Model for the Clustering of Time Courses in FMRI data. In: Proceedings of the 47th Scientific Meeting of the Italian Statistical Society. CUEC Editrice: Cagliari, Italy, 2014.
2. Tadesse M., Cassese A., Guindani M., Falciani F., Vannucci M. A Unified Method for CNV Detection and Association with Gene Expression. In: Proceedings of the 47th Scientific Meeting of the Italian Statistical Society. CUEC Editrice: Cagliari, Italy, 2014.
3. Gelfand AE, Guindani M, Petrone S. Bayesian nonparametric modelling for spatial data using Dirichlet processes (with discussion). In: Bayesian Statistics 8. Oxford University Press, 2007.
4. Guindani M, Do KA, Muller P, Morris J. Bayesian Mixture models for Gene Expression and Protein Profiles. In: Bayesian Inference for Gene Expression and Proteomics. Cambridge University Press, 2006.

Grant & Contract Support

Title: Texas Center for Cancer Nanomedicine - Biomathematics Core (PC-1)
Funding Source: NIH/NCI (Subcontract from The University of Texas Health Science Center - Houston)
Role: Co-Investigator
Principal Investigator: Anil Sood
Duration: 9/1/2010 - 7/31/2015
 
Title: Enhancing cancer outreach for low-income adults with innovative smoking cessation
Funding Source: NIH/NCI
Role: Co-Investigator
Principal Investigator: Alexander Prokhorov
Duration: 4/12/2010 - 1/31/2015
 
Title: Body Image Functioning in Cancer Patients Undergoing Facial Reconstruction
Funding Source: American Cancer Society (ACS)
Role: Co-Investigator
Principal Investigator: Michelle C. Fingeret
Duration: 1/1/2010 - 12/31/2013
 
Title: The University of Texas M.D. Anderson Cancer Center SPORE in Melanoma (PC-C)
Funding Source: NIH/NCI
Role: Co-Investigator
Principal Investigator: Elizabeth Grimm
Duration: 12/1/2001 - 8/31/2015
 
Title: Cancer Center Support Grant - Biostatistics Shared Resource (Biostatistics Resource Group)
Funding Source: NIH/NCI
Role: Statistician
Principal Investigator: Ronald DePinho
Duration: 9/4/1998 - 6/30/2018

Last updated: 10/17/2014