Dr. Philipp Otto

Biography

Philipp Otto is currently a Professor of Statistics and Data Science at the University of Glasgow, with a substantial background in Statistics and Data Analytics. He previously served as an Assistant Professor specializing in Big Geospatial Data at Leibniz University Hannover from 2018 to 2023 and was a visiting full professor at the University of Göttingen during the 2020-2021 academic year. He earned his PhD in Statistics in 2016 with distinction from the European University Viadrina in Frankfurt (Oder), Germany, having completed a fast-track Master's program reserved for selected students demonstrating outstanding research potential. His academic journey began with a B.Sc. in International Economics, which included study visits to the State University of Saint Petersburg, Russia. Otto's research interests include spatial and spatiotemporal statistics, environmetrics, network modeling, spatial econometrics, machine learning, artificial intelligence, big geospatial data, and statistical process monitoring. He focuses on analyzing complex spatial data and developing statistical models for geo-referenced network data, creating innovative statistical AI-driven tools for data quality control. His work addresses critical questions in geospatial data science, utilizing advanced methods and technologies. He has also secured significant research grants and collaborated on industry-funded projects, expanding the impact of his work in the field of data science.

Research Interests

Experience

Awards