Dr. Tim Mori

Research Associate Working Groups "Statistical Methods for Clinical Trials" and "Statistical Evidence in AI Systems"

Short biography

Professional Experience

[since 2026] 
Research Associate, University Medicine Göttingen, Department of Medical Statistics 

[since 2025] 
Associate Researcher, University of Exeter (UK), Department of Clinical and Biomedical Sciences

[2022 - 2026] 
Research Associate, German Diabetes Center, Institute for Biometrics and Epidemiology 

[2021] 
Research Visit / Exchange Semester, Osaka University (Japan), Department of Biostatistics

[2020] 
Intern, Boehringer Ingelheim, Biostatistics and Data Sciences

[2019 - 2022] 
Student Assistant, University Medicine Göttingen, Department of Medical Statistics 

Doctorate

[2022 - 2025] 
Dr. PH (Public Health), University of Düsseldorf / German Diabetes Center

Education

[2019 - 2022] 
M.Sc. Applied Statistics (Biostatistics), University of Göttingen

[2015 - 2018] 
B.A. Liberal Arts and Sciences (Statistics, research methodology, and psychology), Maastricht University (Netherlands)

Engagement in Professional Societies

[since 2025] 
Member - German Diabetes Association (DDG)

[since 2025] 
Member - German Region of the International Biometric Society (IBS-DR)

[since 2023] 
Co-leading the working group "Statistical Methodology in Clinical Research" – German Society for Medical Informatics, Biometry and Epidemiology (GMDS)

[2024 - 2026] 
PhD Representative - German Diabetes Center

[2024 - 2025] 
Member - European Association for the Study of Diabetes (EASD)

Theses

Dissertation (University of Düsseldorf / German Diabetes Center, 2025): "Diabetes subtyping for precision medicine - From practical implementation to methodological challenges" (Supervisor: Prof. Oliver Kuß)

Master of Science (University of Göttingen, 2022): "Blinded sample size reestimation in clinical trials with time-to-event outcomes based on flexible parametric models" (Supervisor: Prof. Tim Friede)

Publications

Further publications

Mori, T., Herder, C., Cardoso, P., Dennis, J.M. & Kuß, O. (2026). Type 2 diabetes subtypes for precision medicine – Methodological challenges and alternative prediction-based approaches. Diabetologia, in press. [Invited Review]

Mori, T., Kuß, O, Mader, J.K., ... & Grimsmann, J.M. (2026). GLP-1 receptor agonists or SGLT2-inhibitors? Evaluation of a personalized treatment algorithm for individuals with type 2 diabetes: a registry-based cohort study. Experimental and Clinical Endocrinology & Diabetes, 134(03), 79-87.

Mori, T., Zaharia, O. P., Straßburger, K., ... & Kuß, O. (2025). Recognising, quantifying and accounting for classification uncertainty in type 2 diabetes subtypes. Diabetologia, 68(10), 2139-2159.

Mori, T., Komukai, S., Hattori, S., & Friede, T. (2025). Flexible Spline Models for Blinded Sample Size Reestimation in Event‐Driven Clinical Trials. Pharmaceutical Statistics, 24(2), e2459.

Mori, T., Prystupa, K., Straßburger, K., ... & Wagner, R. (2025). A web-based application for diabetes subtyping: The DDZ Diabetes-Cluster-Tool. Acta Diabetologica, 62(2), 281-283.

Huttasch, M., Kahl, S., Mori, T., Heilmann, G., Schön, M., Trenkamp, S., ... & Roden, M. (2026). Increased early postprandial glucagon concentrations in humans with newly diagnosed type 2 diabetes and steatotic liver disease. Diabetes Care, 49(6), 1048-1056.

Michelotti, F. C., Koshiba, R., Möser, C., Massold, K. S., Mori, T., Kupriyanova, Y., ... & Schrauwen-Hinderling, V. B. (2026). A comparison study to assess U-Net driven volumetric versus single-slice analysis and MRI sequences with different volume coverage to detect renal sinus fat in people with and without diabetes. Scientific Reports, 14, 4826.

Zaharia, O. P., Kupriyanova, Y., Bobrov, P., Binsch, C., Knebel, B., Mori, T., ... & Roden, M. (2025). Role of adipose tissue compartments for cardiovascular risk in diabetes endotypes. Diabetes Care, 48(12), 2031-2035.

Michelotti, F. C., Kupriyanova, Y., Mori, T., ... & Schrauwen‐Hinderling, V. B. (2024). An empirical approach to derive water T1 from multiparametric MR images using an automated pipeline and comparison with liver stiffness. Journal of Magnetic Resonance Imaging, 59(4), 1193-1203.

Schön, M., Prystupa, K., Mori, T., Zaharia, O. P., Bódis, K., Bombrich, M., ... & Schrauwen-Hinderling, V. (2024). Analysis of type 2 diabetes heterogeneity with a tree-like representation: insights from the prospective German Diabetes Study and the LURIC cohort. The Lancet Diabetes & Endocrinology, 12(2), 119-131.