Mauricio Sadinle



Mauricio Sadinle
Mauricio Sadinle
Assistant Professor

Department of Biostatistics
School of Public Health
University of Washington

Health Sciences Building
F653, Box 357232
Seattle, WA 98195

E-mail: msadinle@uw.edu



I am the Genentech Distinguished Assistant Professor in the Department of Biostatistics at the University of Washington. Previously, I was a Postdoctoral Associate in the Department of Statistical Science at Duke University and the National Institute of Statistical Sciences, working under the mentoring of Jerry Reiter. I completed my PhD in the Department of Statistics at Carnegie Mellon University, where my advisor was Steve Fienberg. My undergraduate studies are from the National University of Colombia, in Bogota, where I majored in statistics.



In my research I develop methodology for a variety of applied and data-driven problems. Thus far I have worked on:
  1. Record linkage techniques to combine datafiles that contain information on overlapping sets of individuals but lack unique identifiers.
  2. Nonignorable missing data modeling, and the usage of auxiliary information to identify nonignorable missing data mechanisms.
  3. Classification techniques that output sets of plausible labels for ambiguous sample points.
I also have experience working with social network models for valued ties, and capture-recapture models in the context of human rights violations.


Google Scholar profile


Latest News

[Nov 2017] I will be giving a talk in the Colloquium Series at Indiana University, Department of Statistics.

[Oct 2017] Our paper Least Ambiguous Set-Valued Classifiers with Bounded Error Levels was accepted in Journal of the American Statistical Association.

[Sep 2017] I joined the Department of Biostatistics at the University of Washington in Seattle as an Assistant Professor.

[Jun 2017] I gave an invited talk at the 5th Latin American Congress on Bayesian Statistics (COBAL V), June 7 - 10, 2017, Guanajuato, Mexico.

[Feb 2017] Our paper Sequential Identification of Nonignorable Missing Data Mechanisms was accepted in Statistica Sinica, Special Issue on Data Missing Not At Random.

[Dec 2016] The session I organized Nonparametric Saturated Methods to Handle Nonignorable Missing Data was accepted for the invited program of JSM 2017, July 29 - August 3, 2017, Baltimore, Maryland.

[Oct 2016] Our paper Itemwise Conditionally Independent Nonresponse Modeling for Incomplete Multivariate Data was accepted in Biometrika.

[Sep 2016] I visited the The Isaac Newton Institute for Mathematical Sciences in Cambridge, UK, as part of the Data Linkage and Anonymisation programme.