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Francesco C Stingo, PhD

Present Title & Affiliation

Primary Appointment

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

Research Interests

Dr. Stingo’s research focuses on the development of novel Bayesian methodologies motivated by real problems in the analysis of biomedical data with a specific interest in the integrative models, hierarchical Bayesian models and Bayesian models for variable selection. Dr. Stingo’s interests include also Graphical models, Bayesian variable selection and in wavelet-based methods for the analysis of functional data.

Office Address

The University of Texas MD Anderson Cancer Center
1400 Pressler Dr.
Houston, TX 77230
Room Number: Pickens Academic Tower, FCT 4.6042

Education & Training

Degree-Granting Education

2010 University of Florence, Florence, Italy, PHD, Statistics

Postgraduate Training

1/2010-7/2011 Postdoctoral Fellow, Rice University, Houston, TX

Honors and Awards

2011 Best PhD thesis 2010, Italian Statistical Society
2007-2009 Ph.D. Scholarship, University of Florence

Selected Publications

Peer-Reviewed Original Research Articles

1. Peterson C, Stingo FC and Vannucci M. Bayesian Inference of Multiple Gaussian Graphical Models. Journal of the American Statistical Association. In Press.
2. Zhang L, Singh RR, Patel KP, Stingo FC, Routbort MJ, You MJ, Miranda RN, Kantarjian HM, Medeiros LJ, Luthra R, Khoury JD. BRAF Kinase Domain Mutations are Common in RASwt Chronic Myelomonocytic Leukemia. American Journal of Hematology. In Press. NIHMSID: NIHMS559122.
3. McKenzie EM, Balter PA, Stingo FC, Jones J, Followill DS, Kry SF. Reproducibility in patient-specific IMRT QA. Journal of Applied Clinical Medical Physics. In Press. NIHMSID: NIHMS559118.
4. Wang SA, Hasserjian RP, Fox PS, Rogers HJ, Geyer JT, Chabot-Richards D, Weinzierl E, Hatem J, Jaso J, Kanagal-Shamanna R, Stingo FC, Patel KP, Mehrotra M, Bueso-Ramos C, Young KH, Dinardo CD, Verstovsek S, Tiu RV, Bagg A, Hsi ED, Arber DA, Foucar K, Luthra R, Orazi A. Atypical Chronic Myeloid Leukemia (aCML) BCR-ABL1-Negative is Clinicopathologically Distinct from Unclassifiable Myelodysplastic/Myeloproliferative Neoplasms (MDS/MPNU): a Bone Marrow Pathology Group Study. Blood. e-Pub 3/2014. PMID: 24627528.
5. Ok CY, Hasserjian RP, Fox PS, Stingo F, Zuo Z, Young KH, Patel K, Medeiros LJ, Garcia-Manero G, Wang SA. Application of the International Prognostic Scoring System-Revised in therapy-related myelodysplastic syndromes and oligoblastic acute myeloid leukemia. Leukemia 28(1):185-9, 1/2014. e-Pub 6/21/2013. PMID: 23787392.
6. Hunter LA, Krafft S, Stingo F, Choi H, Martel MK, Kry SF, Court LE. High Quality Machine-Robust Image Features: Identification in Non-Small Cell Lung Cancer Computed Tomography Images. Med Phys 40(12):121916-28, 12/2013. NIHMSID: NIHMSPMC-In Process.
7. Stingo FC, Guindani M, Vannucci M, Calhoun VD. An Integrative Bayesian Modeling Approach to Imaging Genetics. J Am Stat Assoc 108(105):876-891, 1/1/2013. PMCID: PMC3843531.
8. Yang C, Stingo FC, Ahn KW, Liu P, Vannucci M, Laud PW, Skelton M, O'Connor P, Kurth T, Ryan RP, Moreno C, Tsaih SW, Patone G, Hummel O, Jacob HJ, Liang M, Cowley AW. Increased Proliferative Cells in the Medullary Thick Ascending Limb of the Loop of Henle in the Dahl Salt-Sensitive Rat. Hypertension 61(1):208-215, 1/2013. e-Pub 11/26/2012. PMCID: PMC3760736.
9. Stingo FC, Vannucci M, Downey G. Bayesian Wavelet-based Curve Classification via Discriminant Analysis with Markov Random Tree Priors. Statistica Sinica 22(2):465-488, 2012. NIHMSID: NIHMS559120.
10. Stingo FC, Chen YA, Tadesse MG, Vannucci M. Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes. Ann Appl Stat 5(3):1978-2002, 9/1/2011. PMCID: PMC3650864.
11. Stingo FC, Vannucci M. Variable Selection for Discriminant Analysis with Markov Random Field Priors for the Analysis of Microarray Data. Bioinformatics 27(4):495-501, 2/15/2011. e-Pub 12/14/2010. PMCID: PMC3105481.
12. Stingo FC, Stanghellini E, Capobianco R. On the estimation of a binary response model in a selected population. Journal of Statistical Planning and Inference 141:3293-3303, 2011. NIHMSID: NIHMS558767.
13. Stingo FC, Chen YA, Vannucci M, Barrier M, Mirkes PE. A Bayesian Graphical Modeling Approach to MicroRNA Regulatory Network Inference. Ann Appl Stat 4(4):2024-2048, 2010. PMCID: PMC3740979.

Invited Articles

1. Peterson CB, Stingo FC. Discussion of "On the Prior and Posterior Distributions Used in Graphical Modelling" by M. Scutari. Bayesian Analysis 18(3):539-541, 9/2013.

Book Chapters

1. Stingo FC, Vannucci M. Bayesian Models for Integrative Genomics. In: Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data. Ed(s) K-A Do, ZS Qin, M Vannucci. Cambridge University Press, 2013.
2. Vannucci M, Stingo FC. Bayesian Models for Variable Selection that Incorporate Biological Information (with discussion). In: Bayesian Statistics 9. Oxford University Press, 2011.

Last updated: 3/16/2014