Roben Delos Reyes
Roben Delos Reyes
PhD Candidate
School of Computing and Information Systems
The University of Melbourne
Email: rdelosreyes [at] student.unimelb.edu.au
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About
About
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 modelling the impact of mass casualty incidents on the provision and utilisation of emergency department services. Specifically, I design and evaluate computational models for disaster preparedness and response. More broadly, I am interested in health AI, crisis informatics, and complex systems, with the aim of developing data-driven models to strengthen health system resilience.
My PhD is supported by the Melbourne Research Scholarship. I hold an honorary appointment at the Royal Melbourne Hospital and have been awarded the 2023 Melbourne Centre for Data Science (MCDS) Doctoral Academy Fellowship and the 2025 Faculty of Engineering and Information Technology (FEIT) Visiting Fellowship. I was a research intern at the National Institute of Informatics (NII) in Tokyo under the supervision of Prof Asanobu Kitamoto. I was also selected for the inaugural cohort of the AHLI Health AI Summer Camp.
A fun fact about my name: my first name is "Roben"—the Ro comes from my mom, Rovie, and the ben comes from my dad, Benjamin. My last name is "Delos Reyes", which is of Spanish origin and translates to of the kings.
News
News
[2026.06] 📚 Tutoring Digital Transformation of Health in Winter Term 2026 and Machine Learning Applications for Health in Semester 2, 2026
[2026.06] 🎉 Awarded the Engineering and IT Conference Travel Grant
[2026.05] 📄 New paper from my PhD accepted to CHIL 2026: Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents
[2026.05] 🎉 Accepted to the inaugural AHLI Health AI Summer Camp
[2026.03] 📄 New paper from my research internship now available on arXiv: Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets
[2026.02] 📚 Tutoring Modelling Complex Software Systems and Digital Transformation of Health again in Semester 1, 2026
[2026.01] 📄 New paper from my PhD published in IJDRR: Data assimilation in emergency department simulations for real-time disaster response
[2026.01] 📄 New collaborative paper published in PLOS Digital Health: Beyond overconfidence: embedding curiosity and humility for ethical medical AI
Education
Education
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, KAIST 🇰🇷
Supervisor: Prof Yung Yi
BS in Computer Science, 2018, magna cum laude
Department of Computer Science, University of the Philippines Diliman 🇵🇭
Supervisor: A/Prof Jasmine Malinao
Publications (*=equal contribution)
Publications (*=equal contribution)
Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents
Roben Delos Reyes, Daniel Capurro, Nicholas Geard
Proceedings of the 7th Conference on Health, Inference, and Learning (CHIL), 2026
LLM-based uncertainty assessment of social media situational signals for crisis reporting
Timothy Douglas, Roben Delos Reyes, Asanobu Kitamoto
Under review, 2026
Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets
Roben Delos Reyes, Timothy Douglas, Asanobu Kitamoto
Under review, 2026
Engineering framework for curiosity-driven and humble AI in clinical decision support
Janan Arslan, Kurt Benke, Sebastián Andrés Cajas Ordóñez, Rowell Castro, Leo Anthony Celi, Gustavo Adolfo Cruz Suarez, Roben Delos Reyes, Justin Engelmann, Ari Ercole, Almog Hilel, Leo Kinyera, Maximin Lange, Torleif Markussen Lunde, Mackenzi J. Meni, Felipe Ocampo Osorio, Anna E. Premo, Jana Sedlakova, Pritika Vig
BMJ Health & Care Informatics, 2026
Data assimilation in emergency department simulations for real-time disaster response
Roben Delos Reyes, Daniel Capurro, Nicholas Geard
International Journal of Disaster Risk Reduction (IJDRR), 2026
Beyond overconfidence: embedding curiosity and humility for ethical medical AI
Sebastián Andrés Cajas Ordóñez, Rowell Castro, Leo Anthony Celi, Roben Delos Reyes, Justin Engelmann, Ari Ercole, Almog Hilel, Mahima Kalla, Leo Kinyera, Maximin Lange, Torleif Markussen Lunde, Mackenzi J. Meni, Anna E. Premo, Jana Sedlakova
PLOS Digital Health, 2026
A microsimulation model of behaviour change calibrated to reversal learning data
Roben Delos Reyes, Hugo Lyons Keenan, Cameron Zachreson
Journal of Artificial Societies and Social Simulation (JASSS), 2025
[paper] [code]
Modelling patient trajectories in emergency department simulations using retrospective patient cohorts
Roben Delos Reyes, Daniel Capurro, Nicholas Geard
Computers in Biology and Medicine, 2024
Multi-targeted therapy resistance via drug-induced secretome fucosylation
Mark Borris D. Aldonza*, Junghwa Cha*, Insung Yong, Jayoung Ku, Pavel Sinitcyn, Dabin Lee, Ryeong-Eun Cho, Roben Delos Reyes, Dongwook Kim, Soyeon Kim, Minjeong Kang, Yongsuk Ku, Geonho Park, Hye-Jin Sung, Han Suk Ryu, Sukki Cho, Tae Min Kim, Pilnam Kim, Je-Yoel Cho, Yoosik Kim
Real-time detection of sleep apnea based on breathing sounds and prediction reinforcement using home noises: algorithm development and validation
Vu Linh Le*, Daewoo Kim*, Eunsung Cho, Hyeryung Jang, Roben Delos Reyes, Hyunggug Kim, Dongheon Lee, In-Young Yoon, Joonki Hong, Jeong-Whun Kim
Journal of Medical Internet Research (JMIR), 2023
[paper]
Curiosity-driven multi-agent exploration with mixed objectives
Roben Delos Reyes, Kyunghwan Son, Jinhwan Jung, Wan Ju Kang, Yung Yi
arXiv, 2022
Disentangling sources of risk for distributional multi-agent reinforcement learning
Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin
Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
Confidence-based framework using deep learning for automated sleep stage scoring
Jung Kyung Hong*, Taeyoung Lee*, Roben Delos Reyes, Joonki Hong, Hai Hong Tran, Dongheon Lee, Jinhwan Jung, In-Young Yoon
Nature and Science of Sleep, 2021
Chemotherapy confers a conserved secondary tolerance to EGFR inhibition via AXL-mediated signaling bypass
Mark Borris D. Aldonza, Roben Delos Reyes, Young Seo Kim, Jayoung Ku, Ana Melisa Barsallo, Ji-Young Hong, Sang Kook Lee, Han Suk Ryu, YongKeun Park, Je-Yoel Cho, Yoosik Kim
Scientific Reports, 2021
Matrix representation and automation of verification of soundness of Robustness Diagram with loop and time controls
Karen Margaret Agnes*, Roben Delos Reyes*, Jasmine Malinao, Richelle Ann Juayong
Proceedings of the 8th Workshop on Computing: Theory and Practice (WCTP), 2018
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