March 2020

The Biostatistics Group has been working on COVID-19 forecastings.

  • COVID-19 epidemic simulator: [Link] 

New paper submission:

Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando Ombao: Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach [Link]


‌October 2019

Shuhao Jiao will join the KAUST Biostatistics Group as a Post-Doctoral Scholar effective October 2019. Dr. Jiao received his PhD University of California, Davis. His research is on functional time series.

Ombao to present invited talks at ENAR 2020 (Nashville) and JSM 2020 (Philadelphia)

Ombao to give a seminar at the University of Florence October 2019. [Link]


August 2019

Ombao presented research at JSM 2019 (Denver) and at World Statistics Congress 2019 (Kuala Lumpur).

Students present research at the JSM 2019 (Denver)

Abdulrahman Althobaiti: Visualization and Analysis of Spectral Features in Time Series

Anass Bourakna: Stationary subspace representation of High dimensional time series

Guillermo Garcia: Bayesian nonparametric estimation of the spectral density function with application to rat LFP data

Matheus B. Guerrero: A New Perspective on Modeling Count Time Series Data 

Meini Tang: State-related Dynamic Community Detection with Markov-switching Stochastic Block Model 


‌July 2019

Ombao presented research at the Universidade Federal de Minas Gerais, Brazil. [Link]


June 2019

Ombao organized the workshop on Statistics in Neuroscience 2019 hosted at La Sapienza Rome and gave a department seminar. [Link]


March 2019

Ombao presented research at ENAR 2019 (Philadelphia).

Guillermo Garcia, PhD Student, presented research at ENAR 2019 (Philadelphia): Spectral Analysis of Brain Signals: A New Bayesian Nonparametric Approach.