
About
Isuru Dassanayake is an Assistant Professor in the Department of Statistics at George Mason University (Fairfax campus), located in the College of Engineering and Computing. He holds a PhD and MS in Statistics from Texas Tech University and a BS in Statistics from the University of Peradeniya, Sri Lanka.
His research focuses on advanced statistical methodologies, including Machine Learning, Bayesian approaches, and high-dimensional data analysis, with applications to social and economic prediction (e.g., U.S. election stability modeling using neural networks and visualization tools like Tableau). He also specializes in spatial data analysis and heteroscedastic mixed effects models.
Prior to GMU, he taught as a part-time instructor at Texas Tech University and as a Lecturer at the University of Peradeniya. Currently, he teaches STAT344 (Probability & Statistics for Engineers/Scientists) and STAT515 (Applied Statistics & Visualization for Analytics).
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