Denny Lane B. Sombillo

Assistant Professor

Dr. Denny Sombillo is an Assistant Professor of the National Institute of Physics (NIP). Currently, he led the Nuclear and Hadron Physics (NHP) research team under the newly established group program Gravity, Astronomy, Nuclear, and Particle Physics (GANAP) of NIP. His team is currently developing a machine learning framework to extract the structure of newly discovered unstable hadronic states using the available data from different experimental collaborations around the world.

He earned his PhD in Physics at NIP-UPD working on the problem of time in quantum mechanics. He was a Specially Appointed Assistant Professor of the Research Center for Nuclear Physics (RCNP), Osaka University (2019-2022). Dr. Sombillo is also one of the board members of the Asian Nuclear Physics Association (ANPhA) and a guest researcher at CiDER, Mathematical Analysis Unit.

Dr. Sombillo’s field of specialization is Nuclear and Hadron Physics. His other research interests are machine learning and time in quantum mechanics.

Selected Publications

1. Sombillo, D. L. B., Ikeda, Y., Sato, T., & Hosaka, A. (2021). Model independent analysis of coupled-channel scattering: A deep learning approach. Physical Review. D. (2016), 104(3). https://doi.org/10.1103/physrevd.104.036001
2. Sombillo, D. L. B., & Galapon, E. A. (2016). Particle detection and non-detection in a quantum time of arrival measurement. Annals of Physics, 364, 261–273. https://doi.org/10.1016/j.aop.2015.11.008
3. Sombillo, D. L. B., & Santos L. M. (2023). Interpretation of near-threshold peaks using the method of independent S -matrix poles. Physical Review. C, 108(4). https://doi.org/10.1103/physrevc.108.045204