Danilo Alvares da Silva
Assistant Professor
PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE
Santiago, Chile
Bayesian statistics; Computational methods; Machine learning; Artificial intelligence; Biostatistics; Survival modeling; Longitudinal analysis; Statistical analysis for health policy and education.
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Applied Mathematics and Computer Science, UNIVERSIDADE DE SAO PAULO. Brasil, 2011
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Computer Science and Computational Mathematics, UNIVERSIDADE DE SAO PAULO. Brasil, 2013
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Biostatistics, UNIVERSIDAD DE VALENCIA. España, 2015
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Statistics and Optimization, UNIVERSIDAD DE VALENCIA. España, 2017
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Postdoctoral Research Fellow Full Time
HARVARD UNIVERSITY
Boston, Estados Unidos
2017 - 2018
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Assistant Professor Full Time
Pontificia Universidad Católica de Chile
Santiago, Chile
2018 - At present
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Academic Merit Diploma (Class 2008)
UNIVERSIDADE DE SAO PAULO
Brasil, 2009
Best student during the academic year 2008/2009 of the course B.Sc. in Applied Mathematics and Scientific Computing.
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Academic Merit Diploma (Class 2008)
UNIVERSIDADE DE SAO PAULO
Brasil, 2010
Best student during the academic year 2009/2010 of the course B.Sc. in Applied Mathematics and Scientific Computing.
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Academic Merit Diploma (Class 2008)
UNIVERSIDADE DE SAO PAULO
Brasil, 2011
Best student of the course B.Sc. in Applied Mathematics and Scientific Computing in 2011.
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Doctorate Cum Laude
UNIVERSIDAD DE VALENCIA
España, 2017
Cum Laude qualification for the doctoral thesis entitled "Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data".
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Scientific Writing
UNIVERSIDAD DE VALENCIA
España, 2017
Incentive (€800) for the linguistic quality in the elaboration of doctoral theses in English.
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Fall 2017 Travel Award
HARVARD UNIVERSITY
Estados Unidos, 2017
The Postdoc Association Travel Award provides financial support for Harvard Chan research fellows and associates to attend conferences.
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ENAR 2018 Poster Award
HARVARD UNIVERSITY
Estados Unidos, 2018
Best poster at the International Biometric Society Eastern North American Region Conference, Atlanta, USA.
A Bayesian graphical and probabilistic proposal for bias analysis |
Statistically validating patient self-reporting questionnaires in medicine |
Bayesian approach for semi-competing risks data analysis with complex censoring and time-dependent covariates |