F.X.F
Scientist in Multi-agent AI/ML
🔬 I am a Scientist at A*STAR's Centre for Frontier AI Research (CFAR). 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 lnstitute of Technology Zurich (ETH Zurich).
📧 I will soon start postdoc research at ETH Zurich, focusing on distributed computing for machine learning, mainly reinforcement learning (RL) and large language models (LLMs). I am actively looking for students to collaborate with. If you...
please do not hesitate to contact me! 📧
⛵ Update March 2025: I joined A*STAR's Centre for Frontier AI Research (CFAR) as a Scientist, under the supervision of Prof. Ong Yew Soon (IEEE Fellow; President's Chair Professor at NTU; A*STAR Chief AI Scientist)!
📑 Update 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!
🥳 Update May 2024: I've been awarded the prestigious A*STAR International Fellowship!
Program Committee (PC) member/reviewer of
Journal reviewer for
Teaching and mentoring
Sponsored by A*STAR Computing and Information Science Scholarship (ACIS)
Student exchange programme
First Class Honors (Highest Distinction)
Research on Cognitive, Human-Like, Empathetic & Explainable Machine-Learning
Assisted in project coordination for project MOSCATO (fund by DSO)
Led the development and deployment of an image quality moderation project
Developed a Machine Learning algorithm to automate the traditional data analytical pipeline
Developed communication skills and leadership qualified by leading over 20 team members
Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei-Tsang Ooi ...
Flint Xiaofeng Fan ...
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer preprint ...
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan and Kian Hsiang Low. Thirty-fifth Conference ...