Roben Delos Reyes
PhD Candidate
School of Computing and Information Systems
The University of MelbourneÂ
Email: rdelosreyes [at] student.unimelb.edu.au
I am a PhD candidate in the School of Computing and Information Systems at the University of Melbourne, supervised by Prof. Nic Geard and Prof. Daniel Capurro. My PhD research focuses on modeling the impact of mass casualty incidents on the provision and utilization of emergency department services. Specifically, I design and evaluate novel computational and AI models for disaster preparedness and response. More broadly, my research interests include health informatics, computational modeling, and AI, aimed at developing data-driven approaches to support clinical and operational decision making in healthcare systems during crises.Â
My PhD is funded by the Melbourne Research Scholarship. I hold an honorary appointment with the Royal Melbourne Hospital and am a recipient of the 2023 Melbourne Centre for Data Science (MCDS) Doctoral Academy Fellowship and the 2025 Faculty of Engineering and IT (FEIT) Visiting Fellowship.
January 2026
The latest work from my PhD is now out in IJDRR: Data assimilation in emergency department simulations for real-time disaster response!
Our recent collaborative work has just been published in PLOS Digital Health: Beyond overconfidence: Embedding curiosity and humility for ethical medical AI!
August 2025
I have started my research internship in crisis informatics with Prof. Asanobu Kitamoto at the National Institute of Informatics in Tokyo, Japan!
July 2025
I have been awarded funding under the 2025 FEIT Visiting Fellows Scheme!Â
June 2025
The paper from my RA work on a behaviour change modelling project is now out in JASSS: A microsimulation model of behaviour change calibrated to reversal learning data!
PhD in Engineering and IT, (ongoing)
School of Computing and Information Systems, The University of Melbourne
Supervisors: Prof. Nic Geard, Prof. Daniel Capurro
MS in Electrical Engineering, 2020
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Supervisor: Prof. Yung Yi
BS in Computer Science, 2018, magna cum laude
Department of Computer Science, University of the Philippines Diliman (UPD)
Supervisor: A/Prof. Jasmine Malinao
(J=Journal, C=Conference, W=Workshop, P=Preprint, S=Submitted, *=equal contribution)
[J8] Data assimilation in emergency department simulations for real-time disaster response
R. Delos Reyes, D. Capurro, N. Geard
International Journal of Disaster Risk Reduction (IJDRR), 2026
[J7] Beyond overconfidence: Embedding curiosity and humility for ethical medical AI
S. A. Cajas Ordóñez, R. Castro, L. A. Celi, R. Delos Reyes, J. Engelmann, A. Ercole, A. Hilel, M. Kalla, L. Kinyera, M. Lange, T. M. Lunde, M. J. Meni, A. E. Premo, J. Sedlakova
PLOS Digital Health, 2026
[paper]
[J6] A microsimulation model of behaviour change calibrated to reversal learning data
R. Delos Reyes, H. Lyons Keenan, C. Zachreson
Journal of Artificial Societies and Social Simulation (JASSS), 2025
[paper] [code]
[J5] Modelling patient trajectories in emergency department simulations using retrospective patient cohorts
R. Delos Reyes, D. Capurro, N. Geard
Computers in Biology and Medicine, 2024
[J4] Multi-targeted therapy resistance via drug-induced secretome fucosylation
M. B. Aldonza*, J. Cha*, I. Yong, J. Ku, P. Sinitcyn, D. Lee, R. Cho, R. Delos Reyes, D. Kim, S. Kim, M. Kang, Y. Ku, G. Park, H. Sung, H. Ryu, S. Cho, T. Kim, P. Kim, J. Cho, Y. Kim
[J3] Real-time detection of sleep apnea based on breathing sounds and prediction reinforcement using home noises: algorithm development and validation
V. L. Le*, D. Kim*, E. Cho, H. Jang, R. Delos Reyes, H. Kim, D. Lee, I. Yoon, J. Hong, J. Kim
Journal of Medical Internet Research (JMIR), 2023
[paper]
[J2] Confidence-based framework using deep learning for automated sleep stage scoring
J. Hong*, T. Lee*, R. Delos Reyes, J. Hong, H. H. Tran, D. Lee, J. Jung, I. Yoon
Nature and Science of Sleep, 2021
[paper]
[J1] Chemotherapy confers a conserved secondary tolerance to EGFR inhibition via AXL-mediated signaling bypass
M. B. Aldonza, R. Delos Reyes, Y. Kim, J. Ku, A. M. Barsallo, J. Hong, S. Lee, H. Ryu, Y. Park, J. Cho, Y. Kim
Scientific Reports, 2021
[C1] Disentangling sources of risk for distributional multi-agent reinforcement learning
K. Son, J. Kim, S. Ahn, R. Delos Reyes, Y. Yi, J. Shin
In Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
[paper]
[W1] Matrix representation and automation of verification of soundness of Robustness Diagram with loop and time controls
K. M. Agnes*, R. Delos Reyes*, J. Malinao, R. A. Juayong
In Proceedings of the 8th Workshop on Computing: Theory and Practice (WCTP), 2018
[paper]
[P1] Curiosity-driven multi-agent exploration with mixed objectives
R. Delos Reyes, K. Son, J. Jung, W. Kang, Y. Yi
arXiv, 2022
[paper]