معرفی
Dootika Vats is an Associate Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology, Kanpur. She holds a Ph.D. from the University of Minnesota, Twin-Cities, under Prof. Galin Jones, and previously served as an NSF Postdoctoral Fellow with Prof. Gareth Roberts at the University of Warwick. Her research focuses on Markov chain Monte Carlo (MCMC), output analysis for stochastic simulation, and stochastic optimization algorithms. She is an Associate Editor for Bayesian Analysis, Journal of Computational and Graphical Statistics, and Sankhya B, and has contributed to software development for statistical methods, including packages like qbld and mcmcse.
Dr. Vats has advised students such as Dwija Kakkad, Saee Kamat, and Shlok Mishra, all of whom secured PhD admissions. Her recent work includes a project on seasonal adjustment methods for economic indices for India’s Ministry of Statistics. She is also a Faculty Associate at the International Center for Theoretical Sciences (ICTS) and actively participates in workshops and conferences, including BayesComp 2025 in Singapore and the MATRIX Institute Workshop in Australia.
Her research outputs emphasize advancing MCMC methodologies, with contributions to convergence diagnostics, variance estimation, and algorithmic efficiency. She has published widely on topics such as Moreau-Yosida envelopes, lugsail lag windows, and Hamiltonian Monte Carlo techniques, showcasing her expertise in bridging theoretical and applied computational statistics.
