CV

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Education

Dartmouth College, PhD in Computer Science, Fall 2025 – Present

  • Advised by Alberto Quattrini Li
  • Selected coursework: Robot Design, Parallel Optimization for Robotics, Robotics Perception Systems

Lafayette College, BS in Computer Science, May 2025

  • Selected coursework: Artificial Intelligence, Operating Systems, Programming Languages

Publications

  • Burgul, C., Zhao, X., Huang, Y., Chatzispyrou, M., Quattrini Li, A., & Rekleitis, I. (2026). SVIn+: Multi-modal framework for robust underwater state estimation using 3D sonar, visual-inertial, water-pressure, and DVL. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (Under Review)
  • Yu, J., Shao, N., Yang, J., Yang, L., Hong, K., Chen, Y., Zhao, X., Yu, H., Zhang, T., & Dong, J. (2025). Ultrafine garlic powder alleviates non-alcoholic steatohepatitis by inhibiting hepatocyte ferroptosis and modulating ERK-dependent oxidative stress. Frontiers in Pharmacology, 16.

Research Projects

Marine Robotics and Multi-Sensor Perception, Dartmouth Reality and Robotics LabOct 2025 – Present

  • Building a ROS-based underwater data acquisition system integrating Spinnaker cameras, 3D sonar, IMU, and depth sensors, under the supervision of Dr. Yewei Huang and Prof. Alberto Quattrini Li
  • Developing a novel NeRF-based approach to enhance underwater scene-graph construction and mapping
  • Preparing for the 2026 Marine Robotics Workshop at the Barbados Marine Robotics Field Trials

ProcessGPT: Domain-Specific Language Models for CS Education, Honors Thesis, Lafayette CollegeMay 2024 – May 2025

  • Developed and fine-tuned GPT-Neo architectures (12M–33M parameters) specialized for Processing programming-language instruction, achieving 9.2/10 similarity scores on domain-specific benchmarks
  • Implemented transformer-based models with custom tokenization, gradient accumulation (16 steps), and cosine-annealing learning-rate schedules on a curated dataset
  • Conducted comparative performance analysis across perplexity, grammar accuracy, and computational efficiency

Computational Biology and Animal Models for NASH Treatment, Research Assistant, Tianjin UniversityJune 2023 – Aug 2025

  • Collaborated with Prof. Jinrui Dong investigating ferroptosis mechanisms in non-alcoholic steatohepatitis (NASH)
  • Performed bioinformatics analysis including RNA-seq processing, differential expression analysis, and pathway enrichment using DESeq2 and GSEA

Course Projects

CaveSLAM: Underwater Cave Navigation SystemOct 2025 – Dec 2025

  • Developed a sonar-adapted LeGO-LOAM variant for 6-DOF underwater localization; implemented EKF multi-sensor fusion with sonar odometry, IMU, and depth sensors, reducing vertical drift
  • Designed TTC-based collision avoidance achieving 100% collision prevention; led system integration for the hierarchical architecture

GPU-Accelerated Block Cyclic Reduction for MPCOct 2025 – Dec 2025

  • Implemented the Block Thomas algorithm as a CPU baseline (O(n) complexity); developed a Riccati-recursion baseline and a GPU BCR implementation for KKT system solvers, achieving sub-5 ms runtime for N = 10,752 dimensions in trajectory optimization

Skills

  • Programming: C/C++, Java, ROS, SQL, LaTeX, CUDA, Python, React, Git
  • Tools: Linux, Docker, Gazebo, RViz, cuBLAS, Eigen
  • Languages: English, Chinese