Babak Shahbaba







Mentoring And Supervision

Current Group Members

Alexander Vandenberg-Rose, Research Scientist, 2014-Present

Tian Chen, PhD student, 2013-Present

Andrew James Holborook, PhD Student, 2014-Present

Luis De Jesus Martinez Lomeli, PhD student, 2015-Present

Yash Wagh, Summer intern, Irvine High School, 2017

Former Group Members

Cheng Zhang, PhD student (Co-supervised with Hongkai Zhao), 2017

Megan Smith, Postdoc, 2016

Sepehr Akhavan, PhD student (Co-supervised with Dan Gillen), 2016

Irene Koo, Summer intern, Woodbridge High School, 2015

Bo Zhou, PhD student, 2015

Shiwei Lan, PhD student, 2013

Research Grants


DMS 1622490 (Shahbaba, PI), 08/16-07/19                    


Role: PI

Theory and practice for exploiting the underlying structure of probability models in big data analysis

The objective of this project is to combine geometric techniques with computational algorithms in order to scale up statistical methods used for big data analysis.

R01 AI107034 (Minin, PI at UW),  05/13-04/18                       


Role: Lead Investigator at UCI

Bayesian Modeling and Data Integration in Infectious Disease Phylodynamics

The objective of this project is to develop new statistical methodology for analysis of population dynamics of infectious disease agents by integrating gene sequencing and other data collected in infectious disease surveillance programs.


IIS 1216045 (Welling, PI),  09/12-08/15


Role: Co-PI

Efficient Bayesian Learning from Stochastic Gradients

This proposal studies a new family of MCMC procedures that requires only very few data-cases per update.

R01 MH091351 (Buss, PI), 12/10-11/15                                        

NIH/ National Institute of Mental Health

Role: Key Personnel

Fetal Programming of the Newborn and Infant Human Brain

The goal of this proposed research is to test specific hypotheses about the effects of in-utero biological stress exposure on human brain morphology and white matter integrity at birth and over the first year of postnatal life. 

R01 HD065825-01 (Entringer, PI),      07/10-06/15                            


Role: Key Personnel

Prenatal Stress Biology, Infant Body Composition and Obesity Risk

The overall objective of this project is to evaluate the impact of maternal biological stress during pregnancy on infant body composition and metabolic function.

R01 HD060628 (Wadhwa, PI), 02/10-01/15                                          


Role: Key Personnel

EMA Assessment of Biobehavioral Processes in Human Pregnancy

The overall objective of this project is to evaluate the impact of maternal psychosocial and biological stress, assessed with state-of the art ambulatory measures, on length of gestation.

R01 ES012243 (Delfino, PI), 04/11-01/16               


Role: Key Personnel

Transcriptomic, Oxidative Stress, and Inflammatory Responses to Air Pollutants

This study would be among the first using repeated measurements to analyze the relation between chemically characterized air pollutants and genome-wide gene expression patterns in peripheral blood cells from a high-risk population of elderly


Selected Invited Talks And Conference Presentations

Wormhole Hamiltonian Monte Carlo, MCQMC at Stanford, August 2016

Variational Hamiltonian Monte Carlo, ICERM at Brown University, July 2016

Scalable Monte Carlo Methods, UCLA, October 28, 2015

Scalable Monte Carlo Methods, University of Texas at Austin, October 16, 2015

A Dynamic Bayesian Model for Cross-Neuronal Interactions, JSM, Seattle, August 13, 2015

Dependent Matern Process, 3rd Meeting on Statistics, Athens, June 2015

UCI Neurology Grand Rounds, October 2014

A Non-stationary Copula Model for Simultaneously-recorded Neurons, California State University, Fullerton, 2014

Dirichlet Process Mixture of Gaussian Processes for Joint Modeling of Longitudinal and Survival Data, ISBA 2014

A Gaussian Process Model for Estimating Within-Subject Volatility in Longitudinal Models, UCSD, Spring 2014

A Semiparametric Bayesian Model for Detecting Multiway Synchrony Among Neurons, ENAR 2014

Geometric Methods in Markov Chain Monte Carlo, UCSC, Spring 2014

A Gaussian Process Model for Estimating Within-Subject Volatility in Longitudinal Models, UCSD, Spring 2014

Dirichlet Process Mixture of Gaussian Processes for Joint Modeling of Longitudinal and Survival Data, ISBA 2014

Towards Scalable Bayesian Inference, Duke University, 2013

Split Hamiltonian Monte Carlo, JSM, 2013

Hamiltonian Monte Carlo and Its Variations, Department of Mathematics, UCI, 2013

Split Hamiltonian Monte Carlo, University of Washington, 2012

Bayesian Gene Set Analysis, MD Anderson, 2012

Bayesian Nonparametric Variable Selection, JSM, 2012

Bayesian Relevance Determination, California State University, Fullerton, 2012

Bayesian Relevance Determination, WNAR, 2011

Bayesian Gene Set Analysis, SDSU, 2010

Editorial Works And Reviews

Associate editor for JASA/TAS Reviews, 2014, Present

Associate editor for CHANCE, 2011-Present

Member of Scientific Review Committee (SRC) at UCI, 2012-2014

I have severed in several  NSF panels

I have reviewed manuscripts for many journals including:

Journal of the Royal Statistical Society, Journal of the American Statistical Association (JASA), Bayesian Analysis, Biometrics, Statistical Science, Journal of Machine Learning Research (JMLR), Statistics in Medicine, Statistical Analysis and Data Mining, Artificial Intelligence, Journal of Applied Statistics, Biometrical Journal, IEEE Transactions on Neural Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Statistical Applications in Genetics and Molecular Biology, Physics in Medicine and Biology, Pattern Recognition Letter



Center for Complex Biological Systems

Center for Machine Learning and Intelligent Systems

Institute for Genomics and Bioinformatics

Institute for Clinical and Translational Science


American Statistical Association (ASA)

The International Society for Bayesian Analysis (ISBA)

The Western North American Region (WNAR) of the International Biometric Society (IBS).


(949) 824-0623

2224 DBH, UC Irvine, CA 92697

babaks at uci dot edu


Scalable Bayesian Inferences

Nonparametric Bayesian Methods

Statistical Methods in Neuroscience