HIGHLIGHTS

Research  

Zhou, W., Qu, A., Cooper, K., Fortin, N., Shahbaba, B., A Model-Agnostic Graph Neural Network (MaGNET) for Integrating Local and Global Information, Journal of the American Statistical Association (to appear).

Duan, J., Ngo, M.N., Karri, S.S., Tsoi, L.C., Gudjonsson, J.E., 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).

Sutter, T.M., Meng, Y., Fortin, N., Vogt, J.E., Shahbaba, B., Mandt, S. (2024), Unity by Diversity: Improved Representation Learning in Multimodal VAEs, Neural Information Processing Systems (NeurIPS 38).

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.

Teaching  

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.

News  

Our new grant on smart health research and health disparities

Our new collaborative grant to design joint 3D solid-state learning machines for various cognitive use-cases

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