Roben Delos Reyes
PhD Candidate
School of Computing and Information Systems
The University of Melbourne
Email: rdelosreyes [at] student.unimelb.edu.au
About
I am a PhD candidate in the School of Computing and Information Systems at the University of Melbourne, supervised by Nic Geard and Daniel Capurro. I am studying the impact of mass casualty incidents on the provision and utilization of emergency department services using techniques from data science, process mining, agent-based modeling, and machine learning. Before doing my PhD in Australia, I studied in the Philippines and South Korea and worked as an AI researcher for Korean startups. My research interests lie at the intersection of health informatics, modeling and simulation, and AI.
My PhD is funded by the Melbourne Research Scholarship. I have an honorary appointment with the Royal Melbourne Hospital and am a recipient of the 2023 Melbourne Centre for Data Science Doctoral Academy Fellowship.
News
[Nov. 2023] I participated in the UN Datathon 2023 at the Brisbane Hub with Team Awesome Possums! Thank you to the Australian Data Science Network and the Melbourne Centre for Data Science for this opportunity and the financial support! Check out our work here: ArcGIS StoryMap, GitHub repository, YouTube video.
[Sept. 2023] I was selected as a 2023 Melbourne Centre for Data Science Doctoral Academy Fellow!
[Aug. 2023] I passed confirmation! I am officially a PhD candidate!!
[July 2023] I received an honorary appointment with the Royal Melbourne Hospital reporting to A/Prof. Mark Putland!
Education
PhD in Engineering and IT, (ongoing)
School of Computing and Information Systems, The University of Melbourne
Supervisors: A/Prof. Nic Geard, A/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
Publications
(J=Journal, C=Conference, W=Workshop, P=Preprint, *=equal contribution)
[J4] Multi-targeted therapy resistance via drug-induced secretome fucosylation
Mark Borris 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
eLife, March 2023
[J3] 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, February 2023
[pdf] [preprint]
[J2] 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, December 2021
[pdf]
[J1] Chemotherapy confers a conserved secondary tolerance to EGFR inhibition via AXL-mediated signaling bypass
Mark Borris 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, April 2021
[pdf]
[C1] Disentangling sources of risk for distributional multi-agent reinforcement learning
Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin
In Proceedings of the 39th International Conference on Machine Learning (ICML), July 2022
[W1] 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
In Proceedings of the 8th Workshop on Computing: Theory and Practice (WCTP), September 2018
[pdf]
[P1] Curiosity-driven multi-agent exploration with mixed objectives
Roben Delos Reyes, Kyunghwan Son, Jinhwan Jung, Wan Ju Kang, Yung Yi
arXiv, October 2022
[pdf]