ABE BioComplexity Seminar – Dr. Nikolay Bliznyuk

Details

Presenter:
Dr. Nikolay Bliznyuk
Title:
Statistical machine learning for improved detection and uncertainty quantification of pathogenic E. Coli in hydroponic irrigation water using impedimetric systems
Bio:
Dr. Nikolay Bliznyuk is an Associate Professor of Statistics at the University of Florida, with appointments in the Departments of Agricultural & Biological Engineering, Biostatistics, Statistics and Electrical & Computer Engineering. He earned his doctoral degree in Operations Research & Information Engineering from Cornell University in 2008, concentrating in computational statistics. Prior to joining UF in 2011 as a tenure-track Assistant Professor in the Department of Statistics, he held a postdoctoral researcher appointment in the Department of Biostatistics at the Harvard University and a research assistant professor in the Department of Statistics at Texas A&M University. His research has four tightly intertwined themes: (i) hierarchical Bayesian modeling strategies (ii) spatio-temporal modeling, (iii) methodology and applications of statistical (machine) learning, and (iv) computationally expensive inverse problems (also known as Bayesian calibration of computer models).