My Experiences

May 2025 - Present
Toronto, ON

Undergraduate Student Researcher

Toronto Robotics and Artificial Intelligence Laboratory
  • Contributed in an LLM-based agentic workflow for robotic navigation with long-term memory, enabling scalable task-conditioned retrieval for long-horizon multimodal robot memory
  • Developing undergraduate thesis that integrates vision language navigation with a novel real-time scene-graph memory module to support high-level navigation tasks and apply this system to real-world deployment with RL-based Husky robot locomotion
Python ROS2 Vision-Language-Navigation Scene-Graph Reinforcement learning Husky Robot
May 2025 - Sept 2025
Toronto, ON

Student Researcher

Robot Vision and Learning Lab @ UofT
  • Developed a sparse view 4D Gaussian Splatting reconstruction algorithm for use in real-world robot tasks that achieved superior reconstruction quality under minimal camera setups, cutting the number of input views needed for reconstruction from ∼20 to ∼4. This work will be integrated into the group’s adversarial study on iterative-policy-learning.
Python 4D Reconstruction Franka Robot Policy learning
May 2024 - Apr 2025
Markham, ON

Co-op Researcher - Autonomous Driving

Noah's Ark Lab, Huawei Canada
  • Research on enhancement and refinement of relightable 3D Gaussian Splatting
  • Develpoed an algorithm called UniGaussian that integrated fisheye and pinhole camera models for 3D Gaussian Splatting reconstruction in autonomous driving scenarios via Unified Gaussian Representations
  • Developed a novel single-image–to–3D reconstruction pipeline to address fine-detail loss in diffusion-based 3D asset generation.
  • Participated in simulating on group's end-to-end pipeline for autonomous driving
Python 3D Reconstruction Generative AI Autonomous Driving
Sept 2023 - May 2024
Toronto, ON

Software Team

University of Toronto Aerospace Team
  • Collaborated on autonomous UAV software for site targeting and flight navigation
Python ROS Flight navigation
May 2023 - Sept, 2023
Shanghai, China

Algorithm Developer Internship

SenseTime Inc.
  • Developed enhanced NeRF for agricultural crop and experimented under real-world scenarios.
  • Contributed in developing novel model to predict multimodal crop phenotypic trait information
  • Composed Engineering report for “Intelligent Crop Breeding” project.
Python NeRF 3D Reconstruction
May 2022 - Aug, 2022
Shanghai, China