About me

I am a first-year Master’s student in Computer and Information Science with a concentration in Artificial Intelligence at the University of Pennsylvania. My research focuses on improving AI by addressing biases and logical inconsistencies, with the goal of making AI systems more human-like in their reasoning and decision-making. I am particularly interested in enhancing AI’s understanding of the world and its ability to provide ethically sound and context-aware solutions. Additionally, I am passionate about biomedical image segmentation, especially improving accuracy in segmenting small abdominal organs, which is crucial for increasing the reliability of machine learning models in clinical applications. I aspire to advance AI research, refining systems to not only perform effectively but also think critically and ethically, with impactful real-world applications in healthcare and beyond.

I am excited to further contribute to these areas through a Ph.D. program, with the aim of refining AI ystems to not only perform effectively but also think critically and ethically.

I was a member of NYU Women in Science (Wins), a program recognizing undergraduate scholars for academic achievement and commitment to STEM inclusivity.

I was very fortunate to be advised by Prof. Nan Xu from NYU Shanghai as a Research Assistant, focusing on the dynamics of CUSMA trading. Additionally, I was advised by Dr. Terrance Chen from the NYU Department of Sociology, where I investigated the evolution and impact of ideological terms within the media. Furthermore, under the guidance of Dr. Jake Hofman, I collaborated with scientists at the Microsoft Research Lab in New York to apply machine learning techniques to assess CitiBike’s impact on NYC. Most recently, at Capital Normal University, I worked under the supervision of Prof. Hongxiao Wang, where my research focused on enhancing segmentation accuracy for small abdominal organs using machine learning models.

Eager to connect with professionals and peers in technology, research, and innovation, I welcome opportunities for collaboration and knowledge-sharing. Feel free to connect!

I am eager to find a Research Assistant position in the field of NLP, ML, or other related areas. Please feel free to contact me: xuyinuo@seas.upenn.edu.

You can download my CV here: Yinuo Xu’s Resume

You can also reach me via WeChat