Jonathan Colen

Ph.D. in Physics, University of Chicago, (2023)

M.S. in Physics, University of Chicago, (2019)

B.S. in Computer Science, University of Virginia, (2018)

Research Interests

Machine Learning, Physics, Biophysics, Medical Physics, Condensed Matter Theory, Hydrodynamics

Articles

Colen, J., Schram, M., Rajput, K. and Kasparian, A. (2026). Explainable physics-based constraints on reinforcement learning for accelerator optimization. Machine Learning: Science and Technology 7 (1) , pp. 015005.

Seara, D. S., Colen, J., Fruchart, M., Avni, Y., Martin, D. G. and Vitelli, V. (2025). Sociohydrodynamics: Data-driven modeling of social behavior. Proceedings of the National Academy of Sciences 122 (35) , pp. e2508692122.

Colen, J., Poncet, A., Bartolo, D. and Vitelli, V. (2024). Interpreting Neural Operators: How Nonlinear Waves Propagate in Nonreciprocal Solids. Physical Review Letters 133 (10).

Colen, J., Nguyen, C., Liyanage, S. W.., Aliotta, E., Chen, J., Alonso, C., Romano, K., Peach, S., Showalter, T., Read, P., Larner, J. and Wijesooriya, K. (2024). Predicting radiation‐induced immune suppression in lung cancer patients treated with stereotactic body radiation therapy. Medical Physics 51 (9) , pp. 6485-6500.

Schmitt, M. S.., Colen, J., Sala, S., Devany, J., Seetharaman, S., Caillier, A., Gardel, M. L.., Oakes, P. W.. and Vitelli, V. (2024). Machine learning interpretable models of cell mechanics from protein images. Cell 187 (2) , pp. 481-494.e24.