Babak Shahbaba


Babak Shahbaba, PhD

Professor of Statistics and Computer Science

Director of The UCI Data Science Initiative

University of California, Irvine

Scalable Bayesian Inferences

Nonparametric Bayesian Methods

Statistical Methods in Biological Sciences



Duan, J., Ngo, M.N., Karri, S.S., Shahbaba, B.*, Lowengrub, J.*, and Andersen, B.* (2024), tauFisher accurately predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data, Nature Communications (to appear, *corresponding authors).

Shahbaba, B., Li, L., Agostinelli, F., Saraf, M., Cooper, K.W., Haghverdian, D., Elias, G.A., Baldi, P., and Fortin, N.J. (2022), Hippocampal ensembles represent sequential relationships among discrete nonspatial events,

Nature Communications: online.

Tran, B., Shahbaba, B., Mandt, S., Filippone, M. (2023), Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes, ICML 2023.

Denti, F., Azevedo, R., Lo, C., Wheeler, D., Gandhi, S,P., Guindani, M., Shahbaba, B. (2023), A Horseshoe Pit mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging, Annals of Applied Statistics (to appear)


See my GitHub page for most up-to-date lecture notes, codes, and talks.

COSMOS data science summer program for high school students.

STATS 235, Statistical Machine Learning: Overview of some general concepts in statistics and machine learning; Overview of optimization and sampling algorithms; Supervised and unsupervised learning; Regularization; Splines; Gaussian process regression models; SVM; Tree-based methods; Graphical models; Neural  networks; Deep learning

STATS 225, Bayesian Data Analysis: The objective of this course is to explore Bayesian statistical methods and discuss their applications in real life problems. Students will also learn several  computational techniques commonly used in Bayesian analysis.


See my GitHub page for updates on our NSF and NIH funded projects.

DSI has organized a new workshop on Statistical and Machine Learning Applications in Biomedical Sciences, Feb 29-March 1, 2024.

SoCal Data Science -- a very successful first year

Information on our new NSF grant from the Harnessing the Data Revolution (HDR) program can be found here.

Information on our NIH-funded Irvine Summer Institute in Biostatistics and Undergraduate Data Science can be found here.

We will have our first NeuroDataScience workshop on Sep 22-23, 2022. This is a 2-day workshop to highlight recent challenges and developments related to big data problems in neuroscience.

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(949) 824-0623

2222 ISEB, UC Irvine, CA 92697

babaks at uci dot edu