Events

Yi Yu 于怡 is Professor in Statistics and the Deputy Head of Department (Research) in the Department of Statistics, University of Warwick. She is interested in various aspects of high-dimensional and nonparametric statistics, with a recent interest in trustworthy AI related problems. She has worked in high-dimensional regression, differential privacy, change point analysis, statistical network analysis, nonparametric statistics and functional data analysis.

Céline Cunen is a researcher at the Oslo Centre for Biostatistics and Epidemiology (OCBE) at the Oslo University Hospital. There she works on a variety of topics within methodological and applied statistics, including clinical trials. She also holds a part-time position at Peace Research Institute Oslo (PRIO) where she does research on the evaluation of conflict forecasts. She received her PhD in statistics from the University of Oslo in 2018.

Alice Corbella is an Assistant Professor in Applied Statistics at the University of Warwick. Her research centres on Markov chain Monte Carlo (MCMC) methods, with a particular focus on Zig-Zag sampling and its application to Bayesian inference of infectious disease dynamics from epidemic data.

Cassandra Durr is a PhD candidate at the STOR-i Centre for Doctoral Training at Lancaster University, UK. Her research focuses on non-linear system identification through equation discovery of physical systems, with an emphasis on epidemic modelling. Cassandra holds a bachelor’s degree in Actuarial Sciences and postgraduate degrees in Mathematical Statistics, and Machine Learning & Artificial Intelligence.

Aliaksandr Hubin is an Associate Professor in Statistics at the Norwegian University of Life Sciences and University of Oslo. He holds a PhD in Statistics from the University of Oslo (2018) and specializes in Bayesian inference, machine learning, and statistical modeling. His research focuses on scalable and interpretable methods in Bayesian regression context, with particular expertise in latent binary Bayesian neural networks, Bayesian generalized nonlinear models.

Andrew is a postdoctoral researcher in Statistical Machine Learning at the University of Limerick, Ireland. His research interests centre on developing methods at the intersection of statistical modelling and machine learning. He completed his PhD in 2024 where his research focused on statistically-based methods for neural networks, with a particular focus on model selection and interpretation. After his PhD, he spent some time in the pharmaceutical industry, working on Phase 3 clinical trials in the immunology therapeutic area.

Olav Nikolai Breivik is a researcher at the Norwegian Computing Center, where he mainly works on applying statistical methodology to marine science, as well as other projects in applied statistics. He earned his Ph.D. in statistics from the University of Oslo under the supervision of Ida Scheel, Geir Storvik, Arne Bang Huseby and Bent Natvig.

Rebecca Killick received their PhD degree in Statistics from Lancaster University, where they hold Professor and Director of Research positions. In 2019 they were the first UK recipient of the “Young Statistician of the Year” award from the European Network for Business and Industrial Statistics which recognizes the work of young people in introducing innovative methods, promoting the use of statistics and/or successfully using it in daily practice. Rebecca sees their research as a feedback loop, being inspired by problems in real world applications, creating novel methodology to solve those problems and then feeding these back into the problem domain. Their primary research interests lie in development of novel methodology for the analysis of univariate and multivariate nonstationary time series models. This covers many topics including developing models, model selection, efficient estimation, diagnostics, clustering and prediction. Rebecca is highly motivated by real world problems and has worked with data in a range of fields including Bioinformatics, Energy, Engineering, Environment, Finance, Health, Linguistics and Official Statistics. Rebecca is passionate about ensuring the availability and accessibility of research in the form of open-source software. As part of this they advocate to the statistical community the importance of recognition of research software as an academic output, are co-Editor in Chief of the Journal of Statistical Software and a member of the rOpenSci statistical software peer review board.

William R.P. Denault is a researcher at OCBE-OUS where he focuses on statistical genetics. He got his Ph.D. at the University of Bergen under the supervison of Haakon Gjessing and Astanand Jugessur.

Ivar A. Seierstad is a researcher at the Norwegian Meteorological Institute (MET Norway), where he leads the development of weather forecasts for the public weather service Yr. He received his PhD in meteorology from the University of Bergen in 2008.

Touqeer Ahmad recently joined the Department of Mathematics at UiO as a postdoctoral research fellow under the DSTrain–MSCA program. His project will focus on the stochastic modelling of natural processes. Before that, he was a postdoctoral research fellow at the Institut Denis Poisson, Université d’Orléans, France, from May 2025 to October 2025. There, he worked on the missing data problem in high-dimensional environmental time series as part of the JUNON project. Prior to that, he also held a postdoctoral position at ENSAI, France, from May 2023 to April 2025, where he worked on machine learning and data mining of extreme values in massive data under a prestigious Région Bretagne research grant. He earned a PhD in statistics with the Doctor Europaeus Label in June 2023 from the Department of Statistical Sciences at the University of Padova, Italy. His doctoral research focused on the modeling of discrete extreme values.

Jonas Wallin is an Associate Professor of statistics in the Department of Statistics at Lund University in Sweden. He is a mathematical statistician working with spatial statistics, Gaussian processes, optimisation and high dimensional regularisation. 

This was an internal workshop for the section of Statistics and Data Science at the department where we both discussed new/hot topics within statistics and discussed what we wanted with our section.

Organizers: Camilla Lingjærde, Yael Friedman, Johan de Aguas, Leiv Rønneberg, Clara Bertinelli Salucci

Per August Jarval Moen is a Doctoral Research Fellow at the Department of Mathematics at the University of Oslo. He defended his PhD thesis in June 2025. Per August is mainly working within theoretical and methodological change and anomaly detection problems. More broadly, he is interested in high-dimensional problems, computational statistics and optimality theory. 

Postdoctoral fellow at Integreat - The Norwegian Centre for Knowledge-driven Machine Learning. His research interests lie in the intersection of causal inference, machine learning, and semiparametric statistics.

Alessandra R. Brazzale is an Associate Professor of Statistics in the
Department of Statistical Sciences at the University of Padova. Her research interests include parametric likelihood-based inference, higher-order asymptotics, small-sample inference, measurement error, and clustering, with applications spanning the life sciences and astro-physics.

Aldo Solari is Professor of Statistics at the Department of Economics, Ca’ Foscari University of Venice. He holds a degree and Ph.D. in Statistics from the University of Padova and began his academic career at the University of Milano-Bicocca, where he was appointed Professor in 2020. His research centers on the development of statistical methods with applications in biostatistics, genomics, and neuroscience. He has received the Hans van Houwelingen Biometry Award and the Rita Levi Montalcini Award.

Umberto Picchini is interested in Bayesian inference for stochastic modelling, stochastic differential equations, simulator-based methods for inference, applications in biology and medicine. He prefers music pre 2000s. He is a professor in Mathematical Statistics at Dept Mathematical Sciences in Göteborg.

Prior to his appointment at Victoria University of Wellington in February 2015, Budhi had spent nearly three years at Bank of America Corp. working as a Quant at the level of AVP. He was based mainly in Singapore with direct reporting line to the Head of Quantitative Risk Management Group at BofA HQ in Charlotte, North Carolina. He joined BofA soon after the completion of his PhD in Utrecht in January 2007. His area of research is predominantly on applied probability and stochastic systems towards applications in actuarial science, financial stochastics, optimal stopping and free-boundary problems in theoretical and applied finance, stochastic filtering and smoothing, estimation of Markov chains with covariates dependent transition intensity matrix and their general mixtures, maximum likelihood recursive estimation under incomplete information. He was a visiting scholar, among others, to NYU Stern in April-May 2025, September 2019; Mathematical Institute, University of Copenhagen in February 2020, IEOR Department of Columbia University in May 2014, DAAD visiting scholar to Mathematical Institute of Goethe University of Frankfurt in October-November 2013.

Carolina Euan is a Lecturer in Statistics at the Mathematics and Statistics Department, University of Lancaster. Her research interests include the development of new statistical methods for the analysis of complex time series and Spatio-temporal data. She has experience working with data analysis of ocean wave data, precipitation and drought events, and statistical models for particular matter concentrations.

Emmett B. Kendall is a fifth year PhD candidate in the Department of Statistics at North Carolina State University (NC State). He graduated from the University of Florida (UF) with a B.S. in Mathematics and a Minor in Statistics. 

His research interests include hidden Markov models, Bayesian inference, biomedical statistics, functional data analysis, multi-task learning and regression discontinuity designs. 

Paolo Giordani is a professor of Financial Econometrics at the Norwegian Business School in Oslo.

His main research interests are statistical machine learning, Bayesian inference, and volatility