We are proud to announce that Alan Jiaqi Chen, a high school intern in our lab, has been named a 2025 Regeneron Science Talent Search (STS) Scholar for his research project, “AssemblyComplete: Deep Reinforcement Learning-Based Combinatorial 3D Assembly Completion.”

Advancing AI for 3D Assembly Completion

Alan’s research focuses on leveraging deep reinforcement learning to enhance combinatorial 3D assembly completion, a critical problem in robotic assembly and computational design. His work explores how AI-driven methods can infer missing components and efficiently reconstruct complex 3D structures.

Through his internship at CMU, Alan has demonstrated remarkable creativity and technical skill, tackling a challenging problem that has broad applications in manufacturing, robotics, and AI-driven design automation.

The Regeneron Science Talent Search (STS) is the nation’s most prestigious science and mathematics competition for high school seniors. Each year, 300 top young scientists are recognized for their exceptional research and innovation across STEM fields. Scholars are selected based on the originality, depth, and potential impact of their research.

Congratulations, Alan! We celebrate Alan’s achievement and look forward to his continued success in research and beyond.