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.

My ongoing academic collaborations extend further to Prof. Yu-Lun "Alex" Liu (NYCU, Taiwan 🇹🇼), Ziqiu Zeng (NUS, Singapore 🇸🇬), Fan Shi (NUS, Singapore 🇸🇬), Peter Yichen Chen (UBC, Canada 🇨🇦), Tiantian Liu (Meshy AI, US 🇺🇸), 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.

All of my projects live on my GitHub page, spanning generative modeling, multi-agent RL, multimodal agents, 3D rendering, and intelligent systems. I also contribute back to the community as a reviewer for IEEE ITSC, ACM CHI, HRI, CSCW, and WWW.