Tarmo Nurmi

Tarmo Nurmi is a Visitor (Faculty) in the Department of Computer Science at Aalto University, affiliated with Professor Mikko Kivelä's research group. He holds a Doctoral Researcher position and focuses on multilayer network theory and applications. Nurmi earned a Dipl.ins. in Teknillinen Fysiikka (2019) and Tekn. kand. in Tietotekniikka (2017).

His research emphasizes algorithm development for multilayer networks, including subnetwork enumeration, graphlet analysis, and software tools like the pymnet Python library. Key contributions span theoretical network science, interdisciplinary applications in neuroscience, and computational methods for complex systems. Collaborations involve international teams exploring brain connectivity in ADHD and network modeling in biological/technological systems.

No scientific awards are explicitly listed. He has advised no documented students. His work bridges computer science and applied mathematics, with recent focus on scalable algorithms for multilayer structures.