Hello, I'm Flint.

Scientist in Multi-agent AI/ML

🔬 I am a Postdoctoral researcher at ETH Zurich, hosted at the Distributed Computing Group (DISCO) under the supervision of Prof. Roger Wattenhofer. I also hold a position as Scientist at A*STAR's Centre for Frontier AI Research (CFAR) hosted at A*STAR Institute of High Performance Computing (IHPC), under the supervision of Prof. Ong Yew Soon (IEEE Fellow; President's Chair Professor at NTU; A*STAR Chief AI Scientist). My research is centered on rigorously analyzing the theoretical underpinnings of decision-making in multi-agent systems. I aim to elucidate how these theoretical insights can inform and improve practical applications, with a particular focus on collaborative, distributed, and federated reinforcement learning.

🎓 I obtained my PhD in the Department of Computer Science at the National University of Singapore (NUS), sponsored by the Agency for Science, Technology and Research (A*STAR) under its A*STAR Computing and Information Science Scholarship (ACIS). I am honored to receive supervision from Prof. Wei Tsang Ooi from NUS, Dr. Cheston Tan from A*STAR, and Prof. Roger Wattenhofer from the Swiss Federal Institute of Technology Zurich (ETH Zurich).

fxf at u dot nus dot edu

Zurich, Switzerland

Born Nov 1996

ETH Zurich, NUS & A*STAR

🎓 Education

PhD., Computer Science, National University of Singapore (NUS)

Jan 2020 -- Feb 2025

Visiting PhD., D-ITET, Swiss Federal Institute of Technology Zurich (ETH Zurich)

Sep 2022 -- Apr 2023

Exchange., EEE, University of Strathclyde, Glasgow

Jan 2017 -- Jun 2017

B.Eng., EEE, Nanyang Technological University (NTU)

Aug 2015 -- Jul 2019

📰 Recent News

📝 May 2025: Wrapped up an incredible week at AAMAS 2025 in Detroit! Honored that our paper FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF was selected as one of the premier papers at the conference, and received an invitation for fast-track submission to JAAMAS! Slides for FedRLHF can be found here.

📝 Apr 2025: Our Position Paper on Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs has been accepted by IJCNN 2025 position paper track. It has been selected and featured by AIWorld.eu as one of the top 10 Notable AI Research Papers of the week!

📝 Apr 2025: Our Paper, Diversifying Robot Locomotion Behaviors with Extrinsic Behavioral Curiosity, has been accepted by ICML 2025!

📝 March 2025: Our Paper, Generative Quality Diversity Imitation Learning for Robot Skill Acquisition, has been accepted by ICLR 2025 Workshop on Generative Models for Robot Learning!

🎉 March 2025: I joined A*STAR's Centre for Frontier AI Research (CFAR) as a Scientist!

🎓 March 2025: My PhD was conferred!

📝 Feb 2025: Our Paper, From Myth to Market: Lessons from Black Myth: Wukong's Success, has been accepted by DiGRA 2025!

📝 Dec 2024: Checkout our AAMAS-25 paper FedRLHF (Federated RLHF), a framework that balances the global performance and personalization in LLMs fine-tuning, while preserving user privacy!

🏆 May 2024: I've been awarded the prestigious A*STAR International Fellowship!