Current students

Matthew Heiner, PhD student in Statistics and Applied Mathematics (co-advised with Steve Munch)

Yifei Yan, PhD student in Statistics and Applied Mathematics




Ph.D. alumni

Annalisa Cadonna
Assistant Professor, Institute for Statistics and Mathematics, Vienna University of Economics and Business, Austria.
Ph.D. in Statistics and Applied Mathematics, Winter 2017, School of Engineering, UCSC.
(PhD dissertation work co-supervised with Raquel Prado).
Dissertation title: Bayesian Mixture Models for Spectral Density Estimation.


Robert Richardson
Assistant Professor, Department of Statistics, Brigham Young University.
Ph.D. in Statistics and Applied Mathematics, Spring 2015, School of Engineering, UCSC.
(PhD dissertation work co-supervised with Bruno Sanso).
Dissertation title: Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data.


Sai Xiao
Data Scientist, Apple Inc., Cupertino, CA.
Ph.D. in Statistics and Applied Mathematics, Winter 2015, School of Engineering, UCSC.
(PhD dissertation work co-supervised with Bruno Sanso).
Dissertation title: Bayesian Nonparametric Modeling for Some Classes of Temporal Point Processes.


Maria DeYoreo
Associate Statistician, RAND Corporation, Santa Monica, CA.
Ph.D. in Statistics and Applied Mathematics, Summer 2014, School of Engineering, UCSC.
Dissertation title: A Bayesian Framework for Fully Nonparametric Ordinal Regression.
(Winner of the ISBA 2015 Savage Award in Applied Methodology)


Valerie Poynor
Assistant Professor, Department of Mathematics, California State University, Fullerton.
Ph.D. in Statistics and Applied Mathematics, Summer 2013, School of Engineering, UCSC.
Dissertation title: Bayesian Nonparametric Gamma Mixtures for Mean Residual Life Inference.


Ziwei Wang
Senior Manager of SEM Analytics, IAC Publishing Labs, Oakland, CA.
Ph.D. in Statistics and Stochastic Modeling, Fall 2012, School of Engineering, UCSC.
(PhD dissertation work co-supervised with Abel Rodriguez).
Dissertation title: A Bayesian Nonparametric Modeling Framework for Extreme Value Analysis.


Marian Farah
Senior Quantitative Researcher, The Climate Corporation, San Francisco, CA.
Ph.D. in Statistics and Stochastic Modeling, Fall 2011, School of Engineering, UCSC.
Dissertation title: Bayesian Nonparametric Methods for Emulation, Sensitivity Analysis, and Calibration of Computer Simulators.


Kassandra Fronczyk
Research Scientist, Lawrence Livermore National Laboratory, Livermore, CA.
Ph.D. in Statistics and Stochastic Modeling, Summer 2011, School of Engineering, UCSC.
Dissertation title: A New Framework for Bayesian Analysis of Dose-Response Studies through Dependent Nonparametric Modeling for Categorical Responses.


Matthew Taddy
Professor of Econometrics and Statistics, University of Chicago Booth School of Business,
and Principal Researcher, Microsoft Research.
Ph.D. in Statistics and Stochastic Modeling, Spring 2008, School of Engineering, UCSC.
Dissertation title: Bayesian Nonparametric Analysis of Conditional Distributions and Inference for Poisson Point Processes.
(Honorable Mention for the ISBA 2009 Savage Award in Applied Methodology)


Milovan Krnjajic
Director of Advanced Analytics, Maxim Integrated, San Jose, CA.
Ph.D. in Computer Science, Summer 2005, School of Engineering, UCSC.
(PhD dissertation work co-supervised with David Draper).
Dissertation title: Contributions to Bayesian Statistical Analysis: Model Specification and Nonparametric Inference.



M.Sc. alumni

Maria DeYoreo, M.Sc. in Statistics and Applied Mathematics, Summer 2011, School of Engineering, UCSC.
Project title: Bayesian Semiparametric and Nonparametric Inference for Binary Regression.

Valerie Poynor, M.Sc. in Statistics and Applied Mathematics, Fall 2010, School of Engineering, UCSC.
Project title: Bayesian Inference for Mean Residual Life Functions in Survival Analysis.

Elizabeth Pacheco, M.Sc. in Statistics and Stochastic Modeling, Winter 2009, School of Engineering, UCSC.
(MS project co-supervised with Bruno Sanso).
Project title: Bayesian Modeling Approaches for Marked Non-Homogeneous Poisson Processes.

Joel Mefford, M.Sc. in Computer Science, Fall 2005, School of Engineering, UCSC.
Thesis title: Bayesian Nonparametric Mixtures of Weibull Distributions With Applications to Survival Analysis.



thanos@soe.ucsc.edu
Last updated July 19, 2017