John Dickerson

John Dickerson is a tenured Professor of Computer Science at the University of Maryland, with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He focuses on AI, machine learning, and algorithmic fairness, with applications in healthcare, market design, and societal impact. His research integrates computational economics, stochastic optimization, and game theory.

Education: Ph.D. (Carnegie Mellon University, 2016), B.Sc. (University of Maryland, 2008). Affiliations: AMSC program, Human-Computer Interaction Lab (HCIL), Maryland Transportation Institute (MTI).

Research Interests: Fair clustering algorithms, algorithmic fairness in hiring and admissions, robust AI systems, kidney exchange optimization, and AI for social good. His work emphasizes ethical considerations and societal impact, including projects on health literacy apps and reducing bias in face recognition systems.

Articles Trends: Recent publications address fairness in machine learning, counterfactual explanations, robust clustering, and AI governance strategies. Key themes include aligning AI with human values, mitigating bias in algorithms, and deploying ethical systems in real-world scenarios.

Scientific Awards: 2020 UMD Graduate Faculty Mentor of the Year, 2019 NSF CAREER Award, 2019 Google Faculty Research Award. His mentorship has been pivotal in students' achievements, such as the Philip Merrill Presidential Scholar recognition.

Grants & Labs: Supported by NSF, NIH, DARPA, and industry partnerships. Co-founded Arthur, an AI monitoring firm, and co-directs the Cornell-Maryland-Max Planck PhD program. Active in organ allocation policy through UNOS and blood donation initiatives.