yubozhou-photo.png350

Yubo (Mars) Zhou

πŸ“§ [email protected] | Google Scholar | CV

Master of Information Science (Thesis Track)
University of Michigan, School of Information

I am a Master of Information Science student (thesis track) at the University of Michigan School of Information, advised by Prof. Ceren Budak and working with Prof. Anhong Guo and Prof. Yulin Yu. My research investigates how platforms and AI systems can be designed to advance individuals' own goals while producing value for the communities they participate in, moving beyond the direct optimization of short-term engagement or contribution. I combine causal inference and data mining on large-scale platform data -- characterizing how existing mechanisms shape behavior and community outcomes, and when these effects hold -- with the design and experimental evaluation of interactive systems that act on those findings as interventions.

Before Michigan, I received my B.S. (First Class Honours) in Business Computing and Data Analytics from Hong Kong Baptist University, where I worked on applied machine learning and graph algorithms with Prof. Jianliang Xu and Prof. Renchi Yang.

Beyond research, I care about putting ideas into practice β€” mentoring students, teaching, and building scholarly communities. See my teaching and service.

Research Interests

Read more about my research→

Selected Publications

View full publication list β†’

Selected Awards

View all honors & awards β†’

News