I am a Ph.D. student at Mornin’s Lab, National University of Singapore, supervised by Prof. Feng Mengling. My research focuses on applying machine learning, especially reinforcement learning (RL) to optimize decision-making process with wide applications in healthcare. My current research interests include multi-agent RL, hierarchical RL and model-based RL. Previously, I have also worked on continual learning and generative models with applications in image segmentation and time-series data.

I graduated from Nanyang Technological University with a bachelor’s degree from Electrical and Electronic Engineering. I was awarded with NTU Science and Engineering Undergraduate Scholarship in 2019.

🔥 News

2024.12: 🎉🎉 Our IMAGINE AI 2024 Expo was successfully held.
2024.10: 🎉🎉 One paper accepted to JMIR.
2023.08: 🎉🎉 Started my journey as a Ph.D. student.

📝 Publications

JMIR

Reinforcement Learning to Optimize Ventilator Settings for Patients on Invasive Mechanical Ventilation: Retrospective Study

Siqi Liu*, Qianyi Xu*, Zhuoyang Xu, Zhuo Liu, Xingzhi Sun, Guotong Xie, Mengling Feng, Kay Choong See

An Evidence-based Framework For Hetero- geneous Electronic Health Records: A Case Study In Mortality Prediction, Yucheng Ruan, Ling Huang, Qianyi Xu, Mengling Feng, BELIEF 2024

🎖 Honors and Awards

2024.12 IMAGINE AI Datathon 2024 1st-Runner Up
2022.06 Summer@EPFL Fellowship (2%)
2020, 2022 Dean’s List (5%)
2019.08 NTU Science and Engineering Undergraduate Scholarship

📖 Educations

2013.08 - Present, National University of Singapore (NUS), Ph.D. at Saw Swee Hock School of Public Health, supervised by Prof. Feng Mengling.
2019.08 - 2023.06, Nanyang Technological University (NTU), B.E. at School of Electrical and Electronic Engineering (GPA: 4.81/5.00).

💬 Professional Service

Reviewer

IJCAI 2025

Organizer

2024.12, IMAGINE AI Datathon.

Moderator

2024.12, IMAGINE AI WISTA.

💻 Internships