Biography

As an MPhil student in Artificial Intelligence at the Hong Kong University of Science and Technology (HKUST), I work under the supervision of Prof. Bingzhuo Zhong and Prof. Jintai Chen, focusing on the development of medical AI and cognitive enhancement systems. My research consistently approaches technology from a humanistic perspective, committed to making technology truly serve human needs.

My research began with structural reflection. Growing up in a working-class family, it was STEM education that gave me the opportunity to enter an elite high school. However, during this process, the technology-driven elite development also made me aware of the alienation of human character. This reflection motivated me to choose Chinese Literature at Beijing Normal University, seeking humanistic answers. Yet even in one of China's finest Chinese literature programs, I clearly recognized how the outdated academic division system conducts deskilling training for women.

To break through these limitations, I completed my entire curriculum in two years and dedicated the remaining two years to practical work—transitioning from editing ancient Chinese characters at a state-owned enterprise to working as a data analyst at ByteDance, accumulating over a dozen work experiences. This journey deepened my understanding of humanistic values while strengthening my pursuit and application of technology.

In the subsequent two years, I systematically trained in algorithm development, entering software engineering through the medical field. Drawing from my personal experience with a rare medical condition, I developed a medical image segmentation and detection framework integrating deep learning, active learning, graph neural networks, and reinforcement learning from human feedback, specifically addressing small-sample annotation and multimodal data fusion challenges in screening applications. Graph neural networks became my core research technology, which I also used to develop creative association systems and writing tools. I am currently working on knowledge graph construction for protein engineering.

Meanwhile, I hoped to share these technological opportunities with more young women in need. I shared career transition strategies and technical learning insights on Douban, garnering 400,000 views and nearly 2,000 followers, developing this into a computational social research project. I also created related podcasts, inviting women with similar experiences to share and form mutual support networks.

This humanistic approach provided me with the opportunity to join a home companion robot product team, where I'm responsible for emotional function development and personality cultivation algorithm design. This work involves human perception, emotional ethics, and value alignment—areas I hope to continue exploring deeply.

My research focuses on three core areas:

• Human-Robot Emotional Interaction
• Medical AI and Graph Neural Networks
• Computational Sociology

As someone from marginalized groups, I deeply understand the power and purpose of technology. Therefore, I hope to continue doing practical, warm research and work in future endeavors.