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
| 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 dAosta, 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. |
| 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. |
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.
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.
Scholarship "Amici della Bocconi". January 1994 to November 1994.
Applied stochastic processes, hidden Markov models, Markov chain Monte Carlo methods, Bayesian hierarchical models, biological/medical/epidemiological applications and Bayesian statistics.
Software knowledge: Windows, Unix, S-plus, C.
Languages: Italian (mother tongue), English, and French.
Traveling, skiing, rock climbing, playing tennis and working out.