Education
Bachelor's Degree, Northwestern University
2025 - 2029
IBDP Candidate, Shanghai Pinghe School
2023 - 2025
Graduated on the Principal's List (top 5% of class)
Work Experience
Research Intern, Machine Learning & Language Lab, Northwestern University
September 2025 - Present
- Researching spatial intelligence agents and helping PHD research projects in embodied AI
- Developing comprehensive training playground for object manipulation using Genesis physics simulator
- Designed automated system to import 3D objects, generate target/initial states, and produce optimal image-text sequences for standardized multi-modal training pipelines
Research Intern (Algorithm), Differential Robotics, Hangzhou
June 2025 - August 2025
Worked on two autonomous drone projects:
- Optimized sparse reward RL for obstacle avoidance navigation
- Implemented real-time computer vision for high-speed stunt maneuvers, achieved 90% success rate in extreme conditions using MobileNetV3 architecture
End-to-End High-Speed Drone Frame Navigation System
2025
Visualized Results- Developed an End-to-End vision-based navigation system enabling drones to traverse 85° tilted frames at 4–6 m/s with near-100% success under standard conditions.
- Developed a custom deflicker algorithm to mitigate indoor lighting flicker, ensuring stable frame detection.
- Designed and trained CNN-based segmentation models with multi-color frame detection, incorporating extensive data augmentation (noise, brightness shifts, geometric transforms) to enhance robustness.
- Optimized MobilenetV3 + DeeplabV3+ backbone by reducing network depth; achieved ~3ms inference latency on Jetson Xavier NX using FP16 TensorRT quantization.
- Trained control policy in simulation with RL, leveraging shaped rewards (center alignment, collision penalties, smoothness constraints, Distillation-awareness Regularization).
- Deployed segmentation and policy jointly with combined latency <16ms, enabling >60Hz control frequency for onboard flight.
- Conducted extensive real-world tests, validating segmentation robustness and system stability in high-speed traversal.
- Acquired strong manual piloting skills, supporting iterative testing and system verification.
Projects
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.
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
LaTeX
Python
Data Analysis
Machine Learning
Reinforcement Learning
Computer Vision
Web Development
Drone Operation
Photography
Video Editing (DaVinci Resolve, Premiere, After Effects)
3D modeling (Blender)
Awards
Mathematics & Modeling
- High School Mathematical Contest in Modeling (HiMCM): Outstanding (Global Top 1%)
- 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 for creative work samples.
References
CV template inspired by Jon Barron