Daniela Golinelli

Department of Statistics, Box 354322
University of Washington
Seattle, WA 98195
E-mail: golinell@stat.washington.edu
WWW: http://www.stat.washington.edu/golinell
(206) 543-8484

Citizenship: Italy

Education

Currently Ph.D. Candidate, Statistics (degree expected Summer 2000)
University of Washington, Seattle, WA, USA
Dissertation: "Bayesian Inference in Hidden Linear Birth and Death Processes"
Advisor: Peter Guttorp
December 1997 Master of Science, Statistics
University of Washington, Seattle, USA
Thesis: "A New Learning Procedure in Acyclic Directed Graphs"
Advisor: David Madigan
November 1994 Admitted into the Italian Government Program for doctoral studies in Statistics
July 1994 Summer school of Probability and Statistics ("Weak convergence" – Prof. Billingsley; "Multivariate Distributions" - Prof. Sazanov; "Multivariate Statistics" – Prof. Rukhin)
Università Commerciale L. Bocconi, Val d’Aosta, Italy
October 1993 Laurea in Economics with specialization in Statistics
Thesis: "The Calibration Problem: Theory and Applications", grade: 110/110 cum laude
Università Commerciale L. Bocconi, Milano, Italy
September 1991 Visiting student (selected by merit) in the Erasmus exchange program
Université Catholique de Louvain-la-Neuve, Belgium.


Related Work Experience

September 1997 to Present Research Assistant: University of Washington, Department of Statistics. Research with Prof. P. Guttorp and Janis Abkowitz, M.D. on stochastic modeling of hematopoiesis.
Winter 1999 and Spring 1997 Consultant: University of Washington, Department of Statistics. Working on a Statistical consulting team.
March 1997 to June 1997 Teaching Assistant: University of Washington, Department of Statistics. Probability and Statistics for Engineering and Science.
September 1996 to
March 1997
Teaching Assistant: University of Washington, Department of Statistics. Graduate level course in mathematical statistics.
April 1996 to August 1996 Learning in graphical models: Independent study with Prof. David Madigan.
September 1995, August 1996. Teaching Assistant: University of Washington, Department of Statistics. Introductory statistics course.


Papers and technical reports

D. Golinelli and J. Reynolds [in preparation]. "Assessing a stochastic model for hematopoiesis using Pareto optimality."

J.L. Abkowitz , D. Golinelli, P. Guttorp, D.E. Harrison [in preparation]. "The in vivo kinetics of murine hemopoietic stem cells."

D. Golinelli and P. Guttorp [1999]. "Bayesian Inference in Hidden Linear Birth-Death Processes," submitted.

D. Golinelli, D. Madigan, G. Consonni [1999]. "Relaxing the Local Independence Assumption for Quantitative Learning in Acyclic Directed Graphical Models through Hierarchical Partition Models," Proceedings of Artificial Intelligence and Statistics ‘99 (D. Heckerman and J. Whittaker, eds.), pp. 203-208.

D. Golinelli, P. Guttorp, D.E. Harrison, J.L. Abkowitz [1998]. "The in vivo kinetics of murine hemopoietic stem cells." Blood (Abstract).

D. Golinelli [1997]. A New Learning Procedure in Acyclic Directed Graphs, Master thesis, Department of Statistics, University of Washington.


Conference Participation and Presentations

D. Golinelli and P. Guttorp [1999]. "Bayesian Inference in Hidden Linear Birth-Death Processes." Poster presented at Case Studies in Bayesian Statistics, Pittsburgh, PA.

D. Golinelli, D. Madigan, G. Consonni [1999]. "Relaxing the Local Independence Assumption for Quantitative Learning in Acyclic Directed Graphical Models through Hierarchical Partition Models." Poster presented at Uncertainty ‘99, Fort Lauderdale, FL.

D. Golinelli, P. Guttorp, D.E. Harrison, J.L. Abkowitz [1998]. "The in vivo kinetics of murine hemopoietic stem cells." Poster presented at the American Society of Hematology - 40th Annual Meeting, Miami Beach, FL.

D. Golinelli. [1997]. "A new learning procedure in Acyclic Directed Graphs." Department of Statistics, University of Washington, Seattle.


Awards

Scholarship "Amici della Bocconi". January 1994 to November 1994.


Research interests

Applied stochastic processes, hidden Markov models, Markov chain Monte Carlo methods, Bayesian hierarchical models, biological/medical/epidemiological applications and Bayesian statistics.


Other skills

Software knowledge: Windows, Unix, S-plus, C.
Languages: Italian (mother tongue), English, and French.


Other interests

Traveling, skiing, rock climbing, playing tennis and working out.