Published several papers including works on spatial ARCH model, spatial volatility models, regularized estimation & CV strategies; proposed an adaptive LASSO estimation procedure to fully recover the unknown weight matrix of spatial autoregressive panels with locally varying mean levels; developed a fully data-driven statistical model to understand the spatial and temporal evolution of coastal profiles; established a novel spatial GARCH process in a unified framework which also covers all previously proposed spatial ARCH models; ranked 4th worldwide in his main research area on Scopus and 1st among UK researchers.
Research Experience
Since July 2024, Professor of Statistics and Data Science at the School of Mathematics and Statistics, University of Glasgow; Associate Professor (Reader) from 2023 to 2024 at the same university; recognized as a Senior Fellow of Recognising Excellence in Teaching (RET) at the University of Glasgow in June 2025; Guest Professor at the Department of Engineering and Applied Sciences, University of Bergamo, Italy; Assistant Professor of Big Geospatial Data at the Institute of Cartography and Geoinformatics, Leibniz University Hannover from 2019 to 2023; Visiting Professor of Spatial Data Analysis and Statistical Learning at the University of Göttingen during the 2020-2021 academic year; previously led a junior research group focused on detecting and monitoring spatial and spatiotemporal clusters at the Viadrina Center B/ORDERS IN MOTION at the European University in Frankfurt (Oder).
Education
Ph.D. in Statistics from the European University Viadrina Frankfurt (Oder).
Background
Researcher in Spatial Statistics and Environmetrics (among top 10 worldwide); research interests include spatial ARCH models, spatial volatility models, regularized estimation & CV strategies, etc.
Miscellany
ORCID: https://orcid.org/0000-0002-9796-6682; Google Scholar: https://scholar.google.de/citations?user=URsnzm8AAAAJ; LinkedIn: https://www.linkedin.com/in/philipp-otto-0a9887264/