Career

• Sep. 2026 - present: Research Associate, University of Cambridge
• 2022 - 2026: DPhil in Mathematics, University of Oxford

My research interests are in intelligent complex systems, with a focus on biology and neuroscience. My work blends statistical physics, data science and machine learning, and a variety of applied and computational mathematics.

In my postdoc with Dr. Mazi Jalaal, I am working on experimental and intelligent models of active matter using both computational simulations and robotic experiments.

I did my DPhil with Prof. Alain Goriely and Prof. Renaud Lambiotte where I worked on developing the theory and methods of nonequilibrium statistical physics for applications in neuroscience across scales.

Some recent publications
 

• Interpretable epistemic uncertainty attribution for decision-making under learned-model uncertainty R. Nartallo-Kaluarachchi, S. Ubaru, M. J. Zimon, D. Huh, R. Manson-Sawko, L. Horesh, Y. Bengio
  – Nature Machine Intelligence (2026) [accepted]
• Nonequilibrium physics of brain dynamics R. Nartallo-Kaluarachchi, M. L. Kringelbach, G. Deco, R. Lambiotte, A. Goriely
  – Physics Reports (2026) 1152, 1-43
• Coarse-graining nonequilibrium diffusions with Markov chainsR. Nartallo-Kaluarachchi, R. Lambiotte, A. Goriely
  – Journal of Statistical Mechanics: Theory and Experiment (2026) 033205
• Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics R. Nartallo-Kaluarachchi, L. Bonetti, G. Fernández-Rubio, P. Vuust, G. Deco, M. L. Kringelbach, R. Lambiotte, A. Goriely
  – Proceedings of the National Academy of Sciences (2025) 122 (10), e2408791122