Current students

Andrew Le, PhD student in Statistical Science

Zach Horton, PhD student in Statistical Science

Jizhou Kang, PhD student in Statistical Science

Yunzhe Li, PhD student in Statistical Science (co-advised with Juhee Lee)

Ph.D. alumni

Chunyi Zhao
Data Scientist, Meta, Menlo Park, CA.
Ph.D. in Statistical Science, Summer 2022, UCSC.
Dissertation title: Bayesian Nonparametric Modeling for Spatial Nonhomogeneous and Clustered Point Pattern Data.

Xiaotian Zheng
Research Fellow, Center for Environmental Informatics, University of Wollongong, Australia.
Ph.D. in Statistical Science, Summer 2022, UCSC.
(PhD dissertation work co-supervised with Bruno Sanso).
Dissertation title: A Modeling Framework for Non-Gaussian Spatial and Temporal Processes.

Hyotae Kim
Postdoctoral Researcher, Department of Statistical Science, Duke University.
Ph.D. in Statistical Science, Fall 2021, UCSC.
Dissertation title: Flexible Bayesian Modeling and Inference Methods for Hawkes Processes.

Matthew Heiner
Assistant Professor, Department of Statistics, Brigham Young University.
Ph.D. in Statistical Science, Summer 2019, UCSC.
Dissertation title: Bayesian Mixture Modeling and Order Selection for Markovian Time Series.

Yifei Yan
Sr. Data Science Expert, Ant Group, Shanghai, China.
Ph.D. in Statistics and Applied Mathematics, Summer 2017, UCSC.
Dissertation title: Bayesian Modeling and Inference for Quantile Mixture Regression.

Annalisa Cadonna
Client Engineering Data Scientist, IBM, Vienna, Austria.
Ph.D. in Statistics and Applied Mathematics, Winter 2017, UCSC.
(PhD dissertation work co-supervised with Raquel Prado).
Dissertation title: Bayesian Mixture Models for Spectral Density Estimation.

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

Sai Xiao
Machine Learning Engineer, Pinterest, San Francisco, CA.
Ph.D. in Statistics and Applied Mathematics, Winter 2015, 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, UCSC.
Dissertation title: A Bayesian Framework for Fully Nonparametric Ordinal Regression.
(Winner of the ISBA 2015 Savage Award in Applied Methodology)

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

Ziwei Wang
Director of SEM Analytics, Ask Media Group, Union City, CA.
Ph.D. in Statistics and Stochastic Modeling, Fall 2012, UCSC.
(PhD dissertation work co-supervised with Abel Rodriguez).
Dissertation title: A Bayesian Nonparametric Modeling Framework for Extreme Value Analysis.

Marian Farah
Head of Data Science, Cana Technology, Inc., Redwood City, CA.
Ph.D. in Statistics and Stochastic Modeling, Fall 2011, UCSC.
Dissertation title: Bayesian Nonparametric Methods for Emulation, Sensitivity Analysis, and Calibration of Computer Simulators.

Kassandra Fronczyk
Data Scientist, ICR, Inc., Denver, CO.
Ph.D. in Statistics and Stochastic Modeling, Summer 2011, UCSC.
Dissertation title: A New Framework for Bayesian Analysis of Dose-Response Studies through Dependent Nonparametric Modeling for Categorical Responses.

Matthew Taddy
VP Amazon Private Brands, Amazon, Seattle, WA.
Ph.D. in Statistics and Stochastic Modeling, Spring 2008, 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
Professor, Singidunum University, Serbia.
Ph.D. in Computer Science, Summer 2005, UCSC.
(PhD dissertation work co-supervised with David Draper).
Dissertation title: Contributions to Bayesian Statistical Analysis: Model Specification and Nonparametric Inference.

M.Sc. alumni

Heidi Rogers, M.Sc. in Statistical Science, Summer 2021, UCSC.
Project title: Feeding Time in the Spotted Hyena Cub: An Exploration of Social Rank and Age using a Bayesian Hierarchical Approach.

Tracey Ramirez, M.Sc. in Statistical Science, Summer 2021, UCSC.
Project title: Implementation of the Continuation-Ratio Logit Model to Survey Response Data Using Bayesian Methods.

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

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

Elizabeth Pacheco, M.Sc. in Statistics and Stochastic Modeling, Winter 2009, 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, UCSC.
Thesis title: Bayesian Nonparametric Mixtures of Weibull Distributions With Applications to Survival Analysis.

thanos@soe.ucsc.edu

Last updated September 15, 2023