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Adam Johansen is a Professor in the Department of Statistics at the University of Warwick, where he focuses on the methodological and theoretical aspects of simulation-based algorithms. His research interests include Monte Carlo methodology, particularly sequential methods, Bayesian statistics, and decision theory. Adam has been actively involved in multiple significant research projects, including the CoSinES Project and the OCEAN Project. He has contributed to numerous publications in journals such as the Journal of Machine Learning Research and the Journal of the Royal Statistical Society. He has served as an Associate Editor for the Journal of the Royal Statistical Society: Series B and actively participates in various editorial responsibilities. His teaching role involves overseeing MSc students and guiding prospective Ph.D. students in their research endeavors. Adam is also recognized for developing software libraries, including RcppSMC, enhancing the tools available for statistical analysis and Monte Carlo simulation.
University of Warwick • Coventry, England
Research focuses on methodological theoretical aspects simulation-based algorithms. Teaching MSc students and directing Ph.D. research.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.