I like systematically working through critical problems that sit between disciplines, and my current interests span three core areas:

• Visual Computing & Physics Simulation — developing neural PDE solvers (e.g., Walk-on-Spheres Monte Carlo for complex geometry) and differentiable physical simulation frameworks (hyper-elastic projective dynamics with positive-definite Hessian projection), with applications spanning CAD-driven robotic fabrication and animation workflows such as editable 3D Gaussian Splatting.

• Embodied Systems — training Sim2Real reinforcement learning policies in Isaac Gym/Lab for robotic manipulation on Kuka, UR10, and Hiwin arms, and building large-scale digital twins that fuse multimodal sensing (WiFi, point cloud, RGBD) with graph federated learning foundation models for privacy-preserving human–scene interaction on supercomputers like Fugaku.

• Audio Signal Processing — combining classical DSP with learned latent-space representations to design audio watermarks robust to neural resynthesis, and modeling spatial audio through room impulse responses (RIRs) in complex room acoustics.

Along with my work at NTU, I've had the chance to do research internships and build collaborations across several international groups. I spent time at Aalto University through the 2026 Aalto Science Institute (AScI) Summer Research Programme (QuML Group, Espoo, Finland 🇫🇮; advised by Prof. Vikas Garg), and at RIKEN's Center for Computational Science (R-CCS) through the 2025 R-CCS International HPC Computational Science Internship Program (Large-Scale Digital Twin Research Team, Kobe/Osaka, Japan 🇯🇵; under Team Principal Prof. Hirozumi Yamaguchi and Prof. Hamada Rizk of Osaka University). On the industry side, I've worked in R&D at MoonShine Animation Studio (with Dir. Shaune Jan) and Delta Electronics.

I have co-worked with cross-cultural (20+ nationalities) researchers from the U.S. DoE, ETH Zurich, NUS, UBC, UCLA, UCL, TU Delft, UOsaka, Aalto, etc. My ongoing academic collaborations include Prof. Peter Yichen Chen (UBC, Canada 🇨🇦), Dr. Tiantian Liu (Meshy AI, US 🇺🇸), Dr. Ziqiu Zeng (NUS, Singapore 🇸🇬), Prof. Fan Shi (NUS, Singapore 🇸🇬), and Prof. Yu-Lun “Alex” Liu (NYCU, Taiwan 🇹🇼), as listed in my CV. My broader ongoing collaborations also include Prof. Yun-Nung Chen (NTU, Taiwan 🇹🇼), Prof. Hung-Yi Lee (NTU, Taiwan 🇹🇼), Prof. Shang-Tse Chen (NTU, Taiwan 🇹🇼), Kyung Lee (Aalto, Finland 🇫🇮), Nils Meyer-Kahlen (Aalto, Finland 🇫🇮), Eloi Moliner (Aalto, Finland 🇫🇮), and Prof. Xiang “Anthony” Chen (UCLA, US 🇺🇸). Working on state-of-the-art research with international teams has been one of the most rewarding parts of being in research, and is something I now actively look for.

I also worked closely with multiple academic groups during my undergraduate studies and co-authored 8 conference papers in top-tier AI/CS venues. These include the Urban Science & Computing Lab led by Prof. Hsun-Ping Hsieh, and RAC-Coon (Robot Aided Creation and Construction Research Group) together with Prof. Yang-Ting Shen, Prof. Chia-Ching Yen, and Prof. Wen-Yu Su.

I contribute to the research community as an ACM reviewer for SIGGRAPH Asia, CHI, HRI, CSCW, and The Web Conference (WWW). Separately, I serve as an IEEE reviewer for ITSC.

If you are looking to connect with excellent researchers, I would also be happy to recommend the following friends:

• Nikoleta E. Glynatsi — RIKEN Center for Computational Science (R-CCS), Japan
  Game Theory and Evolutionary Dynamics
• Nassim Beladel — ETH Zurich, Switzerland
  Self-Supervised Learning and Generative Social Choice in Politics and Communities
• Louka Verstraete — ETH Zurich, Switzerland
  FPGA Systems and Quantum Physics, with a focus on Fault Tolerance and Quantum Error Correction
• Antoine Kempf — CEA, France
  High-Performance Computing and Numerical Simulation, including Neutron Transport, Kokkos, and Computational Fluid Dynamics
• Pei-Chi Tsai — University College London (UCL), UK
  Cities, Sustainable Strategy, Urban Heat Island, Data Analysis, and Extended Reality
• Yen-Shan (Lily) Chen — National Taiwan University (NTU), Taiwan
  AI Safety and Large Language Models, with a focus on Trustworthy AI, LLM Robustness, Agentic Safety, and Mechanistic Interpretability
• Tzu-Hsin Hsieh — Delft University of Technology (TU Delft), the Netherlands
  Augmented and Virtual Reality, Human–Computer Interaction, and Artificial Intelligence