BIO

I received my Ph.D. in Statistics in August 2007 form the University of Washington (Seattle) with a Dissertation on the Bayesian analysis of Functional Data. In Seattle I worked mainly with my mentor Lurdes Inoue (UW, Biostatistics) and with Ruth Etzioni (Fred Hutchinson Cancer Research Center). 

In September 2007  I accepted a post-doctoral position in the department of Biostatistics at the University of Texas, M.D. Anderson Cancer Center. My main collaborators here in Houston are Peter Mueller, Gary Rosner and Don Berry.

I still maintain collaborations in Seattle with Lurdes Inoue (UW, Biostatistics) and with Elena Erosheva and Ross Matzueda ( UW, Center for Statistics and the Social Sciences). 

My research is mainly focused on  dependent data and nonparametrics. Other areas of interest are  Decision Theory,  MCMC computation and Bioinformatics.

CV.pdf

 PUBLICATIONS                                                                                                                                                                                           

 REFEREED PAPERS

  •  Telesca D. Etzioni R. and Gulati R. (2008). Estimating Lead Time and Overdiagnosis Associated with PSA Screening from Prostate Cancer Incidence Trends. Biometrics, 64, 10-19 .  (pdf)
  • Telesca D. and Inoue L.Y.T. (2008). Bayesian Hierarchical Curve Registration. Journal of The American Statistical Association, Volume 103, Number 481, pp. 328-339(12). (pdf) 
  • Telesca D. , Inoue L.Y.T.,  Neira M.,  Etzioni R.,  Gleave M.  and  Nelson C.,  (2008). Differential Expression and  Network Inferences through Functional Data Modeling. (To appear in Biometrics). pdf    curves2_1.0.1.tar.gz   Usage.R

PAPERS UNDER PEER REVIEW

  • Telesca D., Erosheva  E.A.,  Kreager D. and Matzueda R. L., (2008). Hierarchical Poisson Registration of Longitudinal  Crime Trajectories. (TechRep-00.pdf)
  • Telesca D., Muller P., Parmigiani G. and Freedman R. S., (2008). Modeling Dependent Gene Expression. (TechRep-01.pdf) 
WORKING PAPERS
  • Telesca D., and Inoue L.Y.T., (2008).  Functional Mixed Registration Models. (Workind Paper)
  • Telesca D., Rosner L. G. and Muller P. (2008). Bayesian Modeling of PK/PGx Data. (Working Paper) 
  • Telesca D., Ji Y. and Muller P. (2008). Modeling of Protein Expression and Protein Signaling Pathways. (Working Paper). 
COLLABORATIVE WORK
  • Sim HG, Telesca D, Culp SH, et al. (2008). Tertiary gleason pattern 5 in gleason 7 prostate cancer predicts pathologic parameters and biochemical recurrence. Journal of Urology 177 (4): 157-158.
  • Sim HG, Telesca D, Culp SH, et al. (2008). Cancer to total prostate volume ratio influences pathological parameters and biochemical recurrence in localized prostate cancer treated by radical prostatectomy.  Journal of Urology 177 (4): 340-340. 

 TALKS  

  • Modeling Longitudinal Biomarkers of Disease Progression (Prelim.ppt) 
  • Notes on Dynamic Time Warping (dtw.ppt) 
  •  Bayesian Hierarchical Curve Registration (HSMWR.pdf)
  •  Dynamic Network Analysis of Time Course Microarray Experiments (Enar 2007.pdf)
  • Functional Mixed Registration Models (Enar2008.pdf)
  • Modeling Dependent Gene Expression (DepPOE.pdf)

 LINKS

University of Washington Statistics 

MDACC Biostatistics 

Etzioni Lab 

ISBA