About me

I am a first-year CSE Ph.D. student at the University of Michigan–Ann Arbor, where I am fortunate to be advised by Prof. Todd Hollon. Prior to UMich, I received my B.S. in Computer Sience, B.S. in Applied Mathematics and Statistics, and M.S.E. in robotics from the Johns Hopkins University.

My general research interest is on AI for Science. I am interested in developing robust, open-source computational tools that transform complex data into precise, clinically actionable insights.

🏫 Education

Ph.D. in Computer Science & Engineering, University of Michigan, 2026-31 (Expected)
M.S.E. in Robotics, Johns Hopkins University, 2025-26
B.S. in Computer Science, Johns Hopkins University, 2023-26
B.S. in Applied Mathematics & Statistics, Johns Hopkins University, 2023-26

🏆 Selected Awards

BIDS-TP Traineeship, University of Michigan, 2026
Dean’s List, Johns Hopkins University, 2023-26
Bloomberg Distinguished Professor Summer Fellowship, $6000, Johns Hopkins University, 2024

🛠️ Skills

  • Languages: C/C++, Java, Python, MATLAB, SolidWorks, Blender, Git/GitHub, Bash, SQL, HTML/CSS
  • Frameworks: PyTorch, TensorFlow/Keras, OpenCV, Scikit-Learn, Matplotlib
  • Robotics & Simulation: ROS / ROS2, Gazebo, RViz, MoveIt, AMBF
  • Human Languages: Chinese (native), English (proficient), Latin (Latin III level)

📄 Selected Publications

MedCondDiff: Lightweight, Robust, Semantically Guided Diffusion for Medical Image Segmentation thumbnail

ARXIV | 2025

MedCondDiff: Lightweight, Robust, Semantically Guided Diffusion for Medical Image Segmentation

R. Huang and J. Li

All publications

🎓 Teaching