Biostatistics Kaust | Biostatistics Group

top of page

This site was designed with the

website builder. Create your website today.Start Now

BIOSTATISTICS at KAUST

Handbook of NeuroImaging Data Analysis now published. Contributors from the UCI Space-Time Group are: H Ombao (Editor) and co-authors CM Ting, C Euan, L Hu, Y Wang and A Schroeder.	Multi-scale connectivity via structured factor analytic models. Local (within region-of-interest) and global (between regions-of-interest).
Rajarshi Guhaniyogi develop a nonparametric manifold regression method with random feature compression for complex high-dimensional data and he applies it to the study of face features.	A structured factor analytic model to study dependence in a default mode network using massive whole brain fMRI data.
Our clustering algorithm cluster channels that display similar spectral profile according to rest or active conditions. This project is led by C. Euan (CIMAT). Statistics collaborators are J. Ortega (Adviser at CIMAT) and H. Ombao (Mentor at UC Irvine). Brain Science collaborators: S. Cramer (UC Irvine) and D. Moorman (U Mass).	How does stroke alter brain functional connectivity? Z. Yu (PhD Student), H. Ombao and R. Prado develop Bayesian models to identify differences between the stroke and healthy populations. Brain Science collaborator: S. Cramer (UC Irvine).
D. Ngo (PhD student) is developing new methods for conducting exploratory analysis of electroencephalograms (EEG) during rest and active conditions. With H. Ombao (UC Irvine), M. Genton (KAUST), Y. Sun (KAUST).	It is possible to integrate structural information and fMRI data for studying multi-Subject effective connectivity.
Lechuan Hu develops a computationally scalable method to study and analyze high dimensional multichannel brain signals and he applies it to study LFPs obtained from a rat in an olfactory study

NEWS:

June 2017:

The KAUST Biostatistics group welcomes our newest and youngest member Elaine Wang.

To play, press and hold the enter key. To stop, release the enter key.

June 2017:

Congratulation to Dr. Wang.

Dr. Wang graduated on 17 June 2017. He will be joining Google this summer.	The KAUST Biostatistics group celebrates the graduation of Dr. Wang at UC Irvine.

bottom of page