Philipp Otto

Philipp Otto is a Professor of Statistics and Data Science at the University of Glasgow. Previously, he served as an Assistant Professor at Leibniz University Hannover (2018-2023) and held a visiting professorship at the University of Göttingen (2020-2021). He earned his PhD in Statistics (summa cum laude) from the European University Viadrina in 2016. His research focuses on spatial/spatiotemporal statistics, environmetrics, machine learning, and big geospatial data. He is affiliated with research groups in Statistics & Data Analytics, Modelling in Space & Time, and Environmental Sciences.

Education:

• B.Sc. in International Economics (with study visits to Saint Petersburg State University)
• Direct PhD in Statistics (fast-track program without M.Sc., European University Viadrina)

Research Interests: Develops statistical models for geo-referenced/network data, spatiotemporal volatility models (ARCH/GARCH), and AI-driven tools for data quality. Recent work includes hurricane forecasting, air quality impact assessments, and mesoplastic distribution analysis.

Key Contributions:

• Developed the R package 'spGARCH' for spatial/spatiotemporal volatility modelling
• Edited a Springer volume on advanced statistical methods (2024)
• Recipient of Lindau Nobel Laureate Fellowship (2017)

Grants & Collaboration: Over €1M in grants, including projects on historical map time series, agricultural air quality impact, and BIM survival analysis. Industry partnerships include projects with financial institutions.

Labs & Teams: Coordinates spatiotemporal modelling research group at Glasgow, collaborates with environmental agencies and statistical societies.