Dr Sergio Bacallado
College positions: Fellow, Director of Studies in Mathematics (Part IA), College Lecturer in Pure Mathematics and Mathematical Statistics, Admissions Tutor (Access)
University position: University Lecturer in the Statistical Laboratory
Group membership: Governing Body, Finance and General Purposes Committee
Subject: Mathematics
Sergio Bacallado is a lecturer in the Department of Pure Mathematics and Mathematical Statistics and a Fellow in Mathematics at Magdalene.
He completed undergraduate degrees in Mathematics and Chemistry from the Massachusetts Institute of Technology and a PhD in Structural Biology from Stanford University, where he was also Stein Fellow in the Department of Statistics. His research deals with Bayesian methodology, with an emphasis on nonparametric inference, and its application to biological data, such as molecular dynamics simulations and genomic data from human microbiome studies.
Research Interests
- Bayesian nonparametrics and Monte Carlo methods
- Inductive models for species sampling
- Reversible Markov chains and random walks with reinforcement
- Human microbiome studies
- Molecular dynamics and drug development
- Design of clinical trials and multi-arm bandit problems
Qualifications
- SB
- SB (MIT)
- PhD (Stanford)
KEY PUBLICATIONS
Bayesian Nonparametric Ordination for the Analysis of Microbial Communities, Boyu Ren, Sergio Bacallado, Stefano Favaro, Susan Holmes, and Lorenzo Trippa, Journal of the American Statistical Association, to appear, 2017.
Bayesian Regularization of the Length of Memory in Reversible Sequences, Sergio Bacallado, Vijay Pande, Stefano Favaro, Lorenzo Trippa, Journal of the Royal Statistical Society: Series B, Vol. 78, No. 4, pp. 933–946, 2016.
de Finetti Priors Using Markov Chain Monte Carlo Computations, Sergio Bacallado, Persi Diaconis, Susan Holmes, Statistics and Computing, Vol. 25, pp. 797–808, 2015.
Bayesian Nonparametric Analysis of Reversible Markov Chains, Sergio Bacallado, Stefano Favaro, Lorenzo Trippa, The Annals of Statistics, Vol. 41, No. 2, pp. 870–896, 2013.
Bayesian Analysis of Variable-Order, Reversible Markov Chains, Sergio Bacallado, The Annals of Statistics, Vol. 39, No. 2, pp. 838–864, 2011.