Chiyu Ma’s Website

About Me

My name is, Chiyu(Henry) Ma, a second-year Ph.D. student in Computer Science at Dartmouth College, advised by Prof. Soroush Vosoughi. Prior to Dartmouth, I earned a Master’s in Statistical Science from Duke University, where I was a member of the Interpretable Machine Learning Lab, advised by Prof. Cynthia Rudin. I also collaborated with Prof. Chaofan Chen from UMaine. Before that, I completed a B.S. in Statistics with honors from Carnegie Mellon University, concentrating in Computational Finance, and worked with Prof. Zach Branson on statistical analysis in biological applications.

My research focuses on developing interpretable and reliable machine learning methods that promote transparency, fairness, and usability across a variety of applications. I have worked extensively on prototype-based and vision transformer models for image understanding, as well as statistical modeling and visualization techniques that make complex AI systems easier to understand. These approaches have been applied in areas such as information analysis, and other decision-support systems. More recently, I have extended these principles to advanced language-based systems, aiming to make their outputs clearer, more consistent, and more accessible for a broad range of users.

I am always open to collaboration and enjoy doing research! If you are interested in working on some projects together, feel free to send me an email!