I'm David. I am currently a PhD student at McGill University and Mila. I am a member of the Computational Biomedicine and Artificial Intelligence (COMBINE) Lab, under the supervision of Prof. Amin Emad. My current research interest is machine learning and graph mining in pharmacogenomics, with special applications to cancer and lung diseases. Prior to coming to McGill, I was part of LANADA and worked extensively in multi-agent reinforcement learning.

I play an unhealthy amount of Overwatch. I sometimes stream my games. Watch me at twitch.tv/Qillo. I play other video games (mostly single-player) but not as often as Overwatch. I am also a mechanical keyboard enthusiast although I don't have the budget to become an actual hobbyist. I love clean keyboard layouts and I'm a fan of artisan keycaps. I used to do designing (shirts, logos, posters, websites, etc.), but yes, this is a google sites layout because I don't have time to code my own. LOL


McGill University / MIla - Quebec AI Institute

  • PhD candidate (PhD in Electrical Engineering)
  • Computational Biomedicine and Artificial Intelligence (COMBINE) Lab
  • McGill Engineering Doctoral Awards (MEDA) Recipient

Korea Advanced Institute of Science and Technology (KAIST)

  • Master of Science in Electrical Engineering
  • LeArning in Networking: Algorithm, Design, and Analysis (LANADA) Lab

University of the Philippines Diliman

  • Bachelor of Science in Computer Science, Magna Cum Laude
  • Computer Vision and Machine Intelligence Group (CVMIG)


Conference Proceedings

  • Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning [link]
David Earl Hostallero, Daewoo Kim, Sangwoo Moon, Kyunghwan Son, Wan Ju Kang, and Yung YiProceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
  • QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning [link]
Kyunghwan Son, Daewoo Kim, Sangwoo Moon, Wan Ju Kang, David Hostallero, and Yung YiProceedings of International Conference for Machine Learning (ICML), 2019
  • Learning to Schedule Communication in Multi-agent Reinforcement Learning [link]
Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, and Yung YiProceedings of International Conference for Learning Representations (ICLR), 2019
  • DemNet: A Convolutional Neural Network for the Detection of Alzheimer’s Disease and Mild Cognitive Impairment [link]
Ciprian Billones, Olivia Jan Louville Demetria, David Earl Hostallero, and Prospero NavalProceedings of IEEE Region 10 Conference (TENCON), 2016


  • Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals [link]
Soonil Kwon, Joonki Hong, Eue-Keun Choi, Euijae Lee, David Earl Hostallero, Wan Ju Kang, Byunghwan Lee, Eui-Rim Jeong, Bon-Kweon Koo, Seil Oh, and Yung Yi.Journal of Medical Internet Research (JMIR) mHealth and uHealth, 2019
  • On the Efficiency of Running Machine Learning Tasks for Drone-Based Target Tracking : Cloud-Based vs. Drone-Based
Kyunghwan Son, David Hostallero, Daewoo Kim, Jihwan Bang, Wan Ju Kang, Se-eun Yoon, Yoon-pyo Koo, Hyun-ho Yeo, Jae-hyung Ha, Dongsu Han, and Yung YiThe Journal of Korean Institute of Communications and Information Sciences, 2018


  • A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes' interactions points to Neutrophil Extracellular Traps as mediators of thrombosis in COVID-19 [link]
Jun Ding, David Earl Hostallero, Mohamed Reda El Khili, Gregory J Fonseca, Simon Milette, Nuzha Noorah, Myriam Guay-Belzile, Jonathan Spicer, Noriko Daneshtalab, Martin Sirois, Karine Tremblay, Amin Emad, Simon Rousseau