The Warwick Awards for Teaching Excellence are held annually and enable members of the Warwick community to recognise members of the University's staff who have made a difference in learning and teaching.
https://warwick.ac.uk/services/od/academic-development/wate/wate1920/

The Bachelier Finance Society and the Department of Mathematics of the Politecnico di Milano, in cooperation with Springer, are proud to announce the Nicola Bruti Liberati Prize which is to be awarded annually for a doctoral thesis in all subjects of Mathematical Finance, such as, but not limited to: Derivative Pricing, Computational Finance, Econometrics and Statistical Methods applied to Finance, Risk Analysis, Portfolio Optimization, Probability Methods in Finance, and Numerical Methods in Finance.

The prize is for the best doctoral thesis, selected by a Committee appointed by the Bachelier Finance Society.

The 2019 Bruti Liberati Prize has gone to Dominykas Norgilas, awarded for his thesis “Techniques and Approaches for Pricing American Options”. His thesis was supervised by Prof. David Hobson and Prof. Saul Jacka. https://www.bachelierfinance.org/nicola-bruti-liberati-prize

It is not unheard-of for Stats MSc students to find their MSc dissertation leading to a publication, but rather less common for the publication to be a component of a book on early medieval history! But that's what happened to Clair Barnes' MSc dissertation ("Statistics in Anglo-Saxon Archaeology", Department of Statistics, Warwick, 2015); you can read all about it in:

Barnes, C., and W.S. Kendall. “Perches, Post-Holes and Grids.” In Planning in the Early Medieval English Landscape, edited by Blair, Rippon & Smart, Liverpool University Press, Appendix A, 213–31, 2020.

Clair started off studying English Literature as an undergraduate at UCL, but then took an OU degree in Math & Stats while working after graduation. That led to a Warwick MSc in Stats and most recently to a return to UCL, working for a PhD in statistical meteorology at UCL. Statistical science leads to all sorts of unexpected adventures ... https://blogs.warwick.ac.uk/randomcuriosities/entry/stats_msc_student/

The Statistics Department has recently been awarded funding from NERC for the project "Statistical inference and uncertainty quantification for complex process-based models using multiple data sets". Principal Investigator Richard Everitt, will collaborate on the project with other members of the Department (Rito Dutta, Christian Robert and Martyn Plummer), the Ecology group at the University of Reading, and with the Centre for Environment, Fisheries and Aquaculture Science.

Making responsible decisions about landscapes is facilitated by the use of complex models able to represent multiple competing demands on land use. Decisions about land use require that trade-offs between competing demands be identified, and their consequences through time be characterised. Models consisting of stochastic computer simulations are increasingly used to make realistic predictions about real world processes from socio-ecological systems involving land use. dels attempt to simulate all relevant aspects of a real physical system, they may involve many parameters, some of which will be difficult to set correctly. The final objective of these models is to assess the possible consequences of management decisions, such as the placement of wind turbines, thus it is crucially important that the uncertainty introduced by calibrating parameter values be understood.

In order to make informed decisions, one needs to be able to consider the effects of a number of complex interacting temporal and spatial processes (e.g. hydrological, ecological, agricultural, economic, climate). The project will develop new techniques in Approximate Bayesian Computation to enable parameter estimation for models for these processes, taking into account the impact of model misspecification. This project is part of the Strategic Priorities Fund on Landscape Decisions. https://landscapedecisions.org/

Chenlei Leng, Professor of Statistics, University of Warwick, has been named Fellow of the Institute of Mathematical Sciences (IMS). Professor Leng received the award for fundamental contributions to the theory and practice of high dimensional statistics, statistical machine learning, model selection and network data analysis.

Created in 1935, the Institute of Mathematical Sciences is a member organisation that fosters the development and dissemination of the theory and applications of statistics and probability. The IMS has 3,500 active members throughout the world.

https://imstat.org/2020/05/19/ims-names-2020-fellows/