ACTIVITIES
Mentoring And Supervision
Current Group Members
Ziyi (Cora) Liang, Postdoc, Statistics (with Annie Qu)
Yang Meng, PhD Student, Statistics (with Stephan Mandt)
Zahra Moslemi, PhD Student, Statistics
Brian Schetzsle, PhD student, Statistics
Zoey Yang, PhD student, Systems Biology (with Norbert Fortin)
Former Group Members
Wenzhuo Zhou, Postdoc, Statistics, 2024 (Co-supervised with Annie Qu); Assistant Professor, UCI
Yueqi Ren, PhD Student (Co-supervised with Craig Stark), Systems Biology; MD Student, UCI
Rui Miao, Postdoc, Statistics, 2023 (Co-supervised with Annie Qu); Mathematical Statistician, NIH/NHLBI
Francesco Denti, Postdoc, Statistics, 2022; Assistant Professor, Università Cattolica del Sacro Cuore, Milan
Derenik Haghverdian, PhD student, Statistics, 2022 (NSF GRFP Awardee); Data Scientist at Microsoft
Michelle Ngo, PhD Student, Systems Biology, 2022; Data Scientist at Merck
Luis De Jesus Martinez Lomeli, PhD Student, Systems Biology 2021; Data Scientist at Mythic
Lingge Li, PhD Student, Statistics, 2020 (Co-supervised with Pierre Baldi; ); Data Scientist at Meta
Tian Chen, PhD Student, Statistics, 2019; Data Scientist at Cylance
Forest Agostinelli, PhD Students, CS 2019 (Co-mentored with Pierre Baldi); Assistant Proferssor at University of South Carolina
Andrew Holborook, PhD Student, Statistics, 2018 (Savage Award runner-up); Assistant Professor at UCLA
Cheng Zhang, PhD Student, Mathematics, 2017 (Co-advised with Hongkai Zhao); Assistant Professor at Peking University
Alexander Vandenberg-Rodes, Research Scientist, 2017; Data Scientist at Obsidian Security
Sepehr Akhavan, PhD Student, Statistics, 2016, (Co-supervised with Dan Gillen); Data Scientist at Meta
Bo Zhou, PhD Student, Statistics, 2015; Principal Quantitative Analyst at Capital One)
Shiwei Lan, PhD Student; Statistics, 2013; Assistant Professor at Arizona State University
Selected Invited Talks And Conference Presentations
Department of Biostatistics, UCLA, 2025
Biostatistics, UC San Diego, 2024
Department of Statistics and Actuarial Science, University of Waterloo, 2024.
IMS International Conference on Statistics and Data Science, Nice, France, 2024.
Advances in Inference and Theory for Bayesian Neural Networks, JSM 2024.
International Pediatric & lifespan Data Science Conference, Anaheim, 2024.
UCI Systems Biology, 2024.
Conceptualizing and Conducting Successful Training and Research Programs in Data Science, JSM 2023.
Data-Driven Mechanistic Models, Lawrence Livermore National Lab, 2022.
Improving Data Science Education Infrastructure at Community Colleges, Teaching, and Research Universities, JSM, 2022.
Latent Representation of Neural Data, ASU, 2021.
MCMC with surrogate functions, UCLA, 2020.
Workshop on Computational Statistics and Data-Driven Models (Virtual), Brown University, ICERM 2020.
Novel Statistical Methods for Complex Data, Vina del Mar, Chile, March 25 to 29, 2019.
Dynamic Bayesian models for Neural Data Analysis, 9th International Purdue Symposium on Statistics, June 2018
Decoding of Hippocampal Neural Activity Using Deep Learning Methods, Workshop on Deep Learning, Tokyo, March 2018
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, Theory and Methods, 2023-Present
Associate editor for JASA/TAS Reviews, 2014-2019
Associate editor for CHANCE, 2011-2019
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, Nature Biotechnology
Affiliations
Centers
Data Science Initiative (Director)
Center for Machine Learning and Intelligent Systems
Center for Multiscale Cell Fate Research
Center for Complex Biological Systems
Institute for Genomics and Bioinformatics
Organizations
Elected Fellow of American Statistical Association (ASA)
The International Society for Bayesian Analysis (ISBA)
(949) 824-0623
2222 ISEB, UC Irvine, CA 92697
babaks at uci dot edu
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