About me

I’m a Master’s student in Computer and Information Science from University of Pennsylvania. My primary research interests lie at the intersection of AI and law, focusing on AI’s implications in the legal field, particularly in automatic generation techniques. Additionally, I am interested in computer-assisted diagnosis, particularly in enhancing segmentation accuracy for small abdominal organs using machine learning models. I am also focused on improving model differentiation between small organs and adjacent structures to increase clinical application reliability.

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