Experience

Exploration is at the heart of everything I do. I’m deeply passionate about diving into the unknown, uncovering insights, and pushing the boundaries of what’s possible. Whether it’s exploring groundbreaking technologies, solving complex problems, or experimenting with innovative ideas, I thrive on the thrill of discovery.

For me, research isn’t just a process; it’s an adventure. It’s about asking “what if?” and then working tirelessly to turn that curiosity into something tangible. With every experiment, prototype, or line of code, I aim to push the limits of knowledge and creativity, leaving a trail of progress behind.

Academic Research

• 18/10/2025 – Present: Research Intern
  Carnegie Mellon University (CMU)
  Xu Lab, Pittsburgh, USA
  • Advisor: Prof. Min Xu
  • Conduct research on trustworthy large language and vision–language models (LLM/LVLM), with a focus on safety, reliability, and model behavior understanding.
  • Develop methods for evaluating and improving robustness, hallucination resistance, and multimodal alignment in next-generation LLM/VLM systems.
  • Apply machine learning to biomedical domains.
• 17/03/2025 - 17/10/2025: ARC Hub Scholar
  Australian Research Council (ARC) Research Hub
  School of Engineering and Built Environment, Griffith University, Brisbane, Australia
  • Advisor: Prof. Yongsheng Gao & Dr. Lei Wang
  • Pursue research on interpretable and trustworthy machine learning, focusing on domain adaptation, temporal reasoning, and uncertainty-aware learning.
  • Develop principled frameworks to align feature, prediction, and structural representations for more reliable and explainable AI.
  • Contribute to cross-institutional collaborations, bringing transparency and robustness to real-world AI systems.
• 13/11/2024 - 16/03/2025: Research Assistant
  Temporal Intelligence and Motion Extraction (TIME) Lab
  Australian National University (ANU), Canberra, Australia
  • Advisor: Dr. Lei Wang
  • Conduct cutting-edge research in video understanding, focusing on action recognition, video anomaly detection, vision-language models, and multimodal learning.
  • Collaborate with a dynamic team to explore innovative approaches, turning curiosity into actionable discoveries.

Industry

• 11/2023 - 02/2024: Research Intern, Computing Department
  Qingdao Aerospace Power Research Institute, Qingdao, China
  • Supported a Digital Twin project by developing interactive web interfaces and high-fidelity simulation models.
  • Integrated sensor data into digital models to enable real-time monitoring and predictive maintenance.
  • Analyzed system behaviors to identify inefficiencies and proposed optimization strategies for aerospace power systems.
• 06/2021 - 08/2021: Intern, Copper Metal Business Department
  CNMC Trading Co., Ltd, Beijing, China
  • Verified berthing queue situations at major South China ports and managed port operation logistics to ensure smooth cargo flow.
  • Facilitated container procurement contracts and maintained communication with domestic and international purchasing channels.
  • Resolved logistics emergencies, such as cargo ship detentions and weather disruptions, by negotiating with stakeholders and insurance companies.
  • Gained hands-on experience in problem-solving under pressure, turning unexpected challenges into opportunities for innovation.