Education
Bachelor of Science in Computer Science & Mechanical Engineering, Northwestern University
Evanston, IL
IBDP Candidate, Shanghai Pinghe School
Graduated on the Principal's List (top 5% of class)
Work Experience
Undergraduate Research Assistant, Xenobot Lab
October 2025 - Present
- • Built a DW1000-based localization system with three-anchor triangulation, achieving cm-level positioning at 30 Hz update rate. Solved concurrent SPI bus contention with IMU through interrupt-driven mutex, providing a low-cost alternative to expensive motion capture systems.
- • Co-developed modular robot hardware and RL control with PhD researchers. Designed novel wheel-leg modules and trained locomotion policies (PPO) across diverse morphologies in MuJoCo. Developing wheel-leg hybrid modules for multi-modal locomotion.
Robotics Engineer, HaptE
September 2025 - January 2026
- • Built fully local inference pipeline on Nvidia Jetson with TensorFlow, achieving <20ms per-frame latency with zero cloud dependency. Delivered as a paid monthly subscription service to warehouse clients.
- • Trained recognition system (YOLO detection, MobileViT super-resolution, OCR, QR/barcode) achieving 98%+ item accuracy on 2k-image custom dataset. Integrated LiDAR for 3D spatial awareness in cluttered environments.
- • Developed multi-edge device orchestration with AWS IoT Core for distributed pick-and-place. Integrated LLM-based task planner for intelligent error prevention and autonomous operation.
Research Intern, Machine Learning & Language Lab, Northwestern University
September 2025
- • Developed object manipulation training environment in Genesis physics simulator with procedural 3D asset generation, automated state initialization, and domain-randomized scene composition for PhD research.
- • Designed end-to-end pipeline generating curated image-text pairs from simulated manipulation scenes, producing 10k+ training samples for vision-language model fine-tuning.
Research Intern (Algorithm), Differential Robotics
May 2025 - August 2025
- • Designed sparse-to-dense reward curriculum for obstacle avoidance, improving training convergence 3× over baseline PPO in cluttered environments in IsaacLab.
- • Deployed real-time end-to-end vision model for high-speed drone maneuvers through near-vertical frames at 4+ m/s. Achieved 95% success rate with MobileNetV3 optimized via TensorRT (<5ms latency). Successfully transferred to physical hardware.
Projects
End-to-End High-Speed Drone Navigation System
2025
Visualized Results →- • Developed end-to-end vision-to-control system enabling drones to traverse 85° tilted frames at 4–6 m/s with 95% success rate.
- • Optimized MobileNetV3 + DeepLabV3+ on Jetson Xavier NX via TensorRT, achieving ~3ms inference and >60Hz closed-loop control.
End-to-End RL Drone Navigation System
2025
- • Built an end-to-end navigation pipeline in IsaacLab using deep reinforcement learning (PPO), mapping high-dimensional sensor inputs (depth images + proprioceptive states) directly to low-level motor actions.
- • Implemented curriculum learning & domain randomization (obstacle density, dynamic disturbances, sensor noise) to improve generalization and enable sim-to-real transfer.
- • Designed hybrid reward shaping: integrated Dijkstra-based path priors, directional distance rewards, ESDF collision penalties, and smoothness constraints to stabilize long-horizon flight.
Low-Cost UWB Localization for Rollbot
2025–2026
- • Built DW1000 localization with concurrent SPI bus sharing (UWB + IMU) via interrupt-driven hardware mutex for stable multi-device communication.
- • Rewrote TWR ranging protocol, increasing update rate to 30 Hz and improving accuracy via Kalman-filtered multi-anchor triangulation.
- • Delivered cm-level autonomous navigation for Rollbot (single-actuator spherical robot), offering a $50 embedded alternative to $10k+ OptiTrack systems.
Wheel-Legged Modular Robot with Evolutionary Design (Ongoing)
- • Designing wheel-leg hybrid modules enabling multi-modal locomotion (walking, rolling, climbing) with evolutionary morphology optimization.
- • Training RL control policies (PPO via SB3) in MuJoCo for computer-generated morphologies; conducting sim-to-real transfer to physical robot.
Multi-Drone VLA Coordination System (Ongoing)
- • Designing hierarchical architecture: VLA model for high-level mission planning, with learned low-level control policies for agile flight.
- • Acheived stable flight with payloads in cluttered environments in IsaacSim.
- • Building multi-agent simulation for autonomous delivery, collaborative mapping, and object search tasks.
Modeling Soccer Ball Trajectory
2023
- • Developed computational simulation using Python, hydrodynamics, and ML
- • Incorporated Magnus effect for accurate modeling
- • Achieved <40cm trajectory error in windless conditions
Skills
Programming
Python
C/C++
MATLAB
LaTeX
Robotics & AI
Reinforcement Learning
Computer Vision
Motion Planning
Sim-to-Real Transfer
Tools & Frameworks
IsaacLab
PyTorch
TensorRT
OpenCV
AWS IoT
Hardware
Nvidia Jetson
ESP32
UWB
IMU
Drone Systems
3D Printing/CAD
Awards
Mathematics & Modeling
- • High School Mathematical Contest in Modeling (HiMCM): Outstanding (Global Top 1%) [pdf link]
- • American Regions Mathematics League (ARML): Global Top 10
Languages
Chinese (Native), English (Native), German (Basic)
Interests
Photography, Filmmaking, Travel, Soccer, Badminton. View my photography portfolio.