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Rishikesh Yadav is a Ph.D. student in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser. Rishikesh successfully defended his PhD thesis entitled "Bayesian Modeling of Sub-Asymptotic Spatial Extremes" on April 5th, 2022; see his PhD thesis here. His PhD committee was composed of Professors Raphaël Huser (chair), Philippe Naveau (external examiner from CNRS, France), Marc Genton, and Ajay Jasra. After his PhD at KAUST, Rishikesh will be going to HEC Montréal, Canada, for a postdoctoral position under the joint supervision of Prof. Léo Belzile (HEC Montréal) and Prof. Johanna G. Nešlehová (McGill University), due to start in September, 2022.
Education and Early Career
Rishikesh Yadav obtained his Bachelor of Mathematics and Statistics in 2014 from the University of Allahabad and Master (M.Sc.) in Statistics from the Indian Institute of Technology, Kanpur (IITK) in 2016. He joined the PhD program in Statistics at KAUST in 2017, and successfully defended on April 5th, 2022 (details above).
Rishikesh Yadav's research interests focus on extreme-value statistics, spatial statistics, machine learning, and Bayesian inference with particular attention to sub-asymptotic models for spatial extremes.