Brookhaven Lab Intern Uses Artificial Intelligence to Train Robots

BYLINE: By Kelly Lazzaro

Jasmin Lin didn’t set out to study artificial intelligence (AI) and robotics, but her path has led her there. Now pursuing a master’s degree in bioinformatics at Brandeis University after earning her undergraduate degree in biology at Stony Brook University, Lin expanded her interests through hands-on research experiences at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory. She first joined the Lab as a Science Undergraduate Laboratory Internships (SULI) participant, then returned as a Supplemental Undergraduate Research Program (SURP) intern, both with mentors from the Artificial Intelligence group within Brookhaven’s Computing and Data Sciences Directorate. Along the way, Lin has explored the rapidly expanding world of humanoid robots and embodied AI, contributing to research that advances AI applications that support the Lab’s scientific goals and as well as DOE’s Genesis Mission to accelerate AI innovation and discovery. Lin recently shared what she learned at Brookhaven Lab and offered tips for future interns.

Newswise — You previously joined Brookhaven Lab as a Science Undergraduate Laboratory Internships (SULI) participant. What did you research during your time with the program, and what did you gain from that experience?

My first SULI term ran from January to May 2025 with Wei Xu. My project then was more focused on computational biology. I integrated virtual reality (VR) with a plant digital twin. A digital twin is a dynamic, real-time digital model of a physical system that continuously updates alongside the real counterpart. I ended up making a whole pipeline that connected VR interaction with a 3D Gaussian Splatting model of a plant in Unity using C# and Python. Using the VR hand controllers, I was able to point and click the model to pull up original images that were used to generate that exact gaussian at the point of…

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