Abdullahi Ibrahim

Abdullahi is a postdoc in SynoSys.PC. He has worked on a range of interdisciplinary projects including time-series prediction with machine learning, community detection in networks, and flows in multimodal transport networks. His research interests include data-driven methods, dynamical systems, non-linear systems, and machine learning. He is currently exploring approaches to causality in time series systems, with a focus on modern machine learning techniques.

Interests

Data-driven methods
Dynamical systems
Non-linear systems
Machine learning
Causality in time series

Education

2024 Ph.D. in Computer Science, Max-Planck-Institute for Intelligent Systems & University of Tübingen
2019 M.Sc. in Math & Data Science, African Institute for Mathematical Science
2015 B.Sc. in Mathematics, Ekiti State University, Nigeria