Ali Reza Taheriyoun

Ph.D., M.S.

Postdoctoral Associate

School: Milken Institute School of Public Health

Department: Biostatistics and Bioinformatics

Contact:

Email: Ali Reza Taheriyoun

Science & Engineering Hall 800 22nd Street, NW Washington DC 20052

Ali Reza Taheriyoun is a statistician whose academic journey began with a fascination for the geometric of random fields, ultimately leading to his current focus on Bayesian computation and high-dimensional models in computational biology. He earned his Ph.D. in Statistics from the National University (known as Shahid Beheshti University), where he developed novel methods to estimate the fractal dimension of Gaussian random fields.

From 2014 to 2022, he developed expertise in statistical learning, point processes, and longitudinal data analysis. Since 2023, he has been a Postdoctoral Research Associate at GWU, focusing on the application of Bayesian methods to high-dimensional omics data, with a strong emphasis on longitudinal. His work aims to unravel the complexities of biological data through advanced statistical methodologies. He is now focusing on longitudinal omics data analysis

Education

Ph.D., Statistics, Shahid Beheshti University, 2010
M.S., Mathematical Statistics, Shahid Beheshti University, 2004
B.A., Statistics, Allameh Tabatabaei University, 2002

Publications

Majidizadeh, M., and Taheriyoun, A. R. (2024) Bayesian multiple changepoints detection in autocorrelated binary process with application to COVID-19 infection pattern, Journal of Statistical Computation and Simulation, 10.1080/00949655.2024.2400519
Sharifi, A., Taheriyoun, A. R., and D. Hamedani, H., (2022) A Bayesian paradigm in a large class of Levy-driven CARMA models for high frequency data, Communications in Statistics - Simulation and Computation, 54(3), 1824–1836 10.1080/03610918.2022.2057543
Taheriyoun, A. R. and Shafie, K., (2021) The estimation of the fractal dimension of a Gaussian field via Euler characteristic, Canadian Journal of Statistics, 50, 681-707. 10.1002/cjs.11625.
Fotouhi, H., Amiri, A., and Taheriyoun, A. R., (2019) A Novel Approach Based on Multiple Correspondence Analysis for Monitoring Social Networks with Categorical Attributed Data, Journal of Statistical Computation and Simulation, 89, 3137-3164. 10.1080/00949655.2019.1657429
Saadatjouy, A., and Taheriyoun, A. R., and Vahidi-Asl, M. Q. (2018) Testing the Zonal Stationarity of Spatial Point Processes: Applied to prostate tissues and trees locations, Statistics and Its Interface, 11, 491–501. 10.4310/SII.2018.v11.n3.a11
Maleki, R., Amiri, A., and Taheriyoun, A. R., (2018) Identifying the time of step change and drift in Phase II monitoring of autocorrelated logistic
regression profiles, Scientia Iranica, 25, 3654–3666. 10.24200/SCI.2017.4466
Taheriyoun, A. R., and Wang, Y., (2017) Box dimension estimation of multidimensional random fields via wavelet shrinkage, Statistics and Its Interface, 10, 207–216. 10.4310/SII.2017.v10.n2.a5
Taheriyoun, A. R. and Moghimbeygi, M., (2017) Visual information and expert’s idea in Hurst index estimation of the fractional Brownian motion using a diffusion type approximation, Scientific Reports, 7, 42482. 10.1038/srep42482
Taheriyoun, A. R. (2012) Testing the covariance function of stationary Gaussian random fields. Statistics and Probability Letters 82, 603–613.
10.1016/j.spl.2011.11.014
Taheriyoun, A. R., Shafie, K. and Jafari Jozani M. (2009) A note on the higher moment of the Euler characteristic of the excursion set of random fields. Statistics and Probability Letters 79, 1074–1082. 10.1016/j.spl.2008.12.013