Benjamin Fish

Benjamin Fish is a Professor in the Department of Computer Science and Engineering (CSE), focusing on fairness in algorithms, computational social choice, and theoretical computer science. His research addresses issues of equity in hiring markets, bias in machine learning, and ethical implications of technology. He is actively involved in mentoring PhD students, emphasizing personalized advising, regular one-on-one meetings, and fostering independence in research.

Research Interests: Dr. Fish explores algorithmic fairness, graph neural networks, and the ethical design of computational systems. He investigates how social dynamics and institutional structures impact algorithmic outcomes, particularly in contexts like hiring and data-driven markets. His work often bridges theoretical analysis with practical applications in policy and technology governance.

Education and Mentorship: While his formal education details are not explicitly listed, his mentorship philosophy prioritizes student autonomy and growth. Weekly meetings and flexible group sessions focus on research progress, writing, and professional development. He encourages internships, conference participation (with funding support), and teaching opportunities as part of a well-rounded academic experience.

Advising and Grants: Students are expected to take ownership of their research projects, with authorship determined by contribution. Authorship order typically places student leads as first authors and the advisor as last. Regular feedback is provided through weekly meetings and annual reviews, balancing progress tracking with student well-being.

Conferences and Funding: Conference attendance is supported for paper authors; additional travel funds are available for one annual conference per student. Funding depends on project grants and workshop submissions.