
Professor Dr. Michael Kearns
Professor
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Biography
Michael Kearns is a professor in the Department of Computer and Information Science at the University of Pennsylvania, where he holds the National Center Chair. He is the founding director of the Warren Center for Network and Data Sciences and has secondary appointments in the Economics Department of the Wharton School. His academic career includes significant research in machine learning, artificial intelligence, algorithmic game theory, and ethical algorithm design. Michael has also provided consulting services for various technology companies and venture capital firms, as well as serving as an expert witness for legal cases related to technology. Kearns completed his undergraduate studies in mathematics and computer science at the University of California, Berkeley, and earned his Ph.D. in computer science from Harvard University, where he was advised by Les Valiant. He spent a notable decade engaged in AI research at AT&T Bell Labs, and later he was involved in algorithmic trading on Wall Street before joining the faculty at Penn. His work focuses on the ethical implications of algorithmic processes in decision-making and the broader impacts on society and technology regulation.
Research Interests
Experience
Professor
2002-01-01 — PresentUniversity of Pennsylvania • Philadelphia, PA
Michael Kearns is a professor in the Department of Computer and Information Science at the University of Pennsylvania, where he holds the National Center Chair.
CTO
2001-01-01 — 2002-01-01Syntek Capital • Europe
Led a European venture capital firm.
Research Staff
1991-01-01 — 2001-01-01AT&T Bell Labs •
Conducted broad AI systems research and led the AI department.
Requirements for University of Pennsylvania
Doctorate Program
Requirements
GPA Requirement
GRE General
GMAT
TOEFL
Prerequisites
Application Checklist
- Academic Transcripts
- Letters of Recommendation (2-3)
- Resume/CV
- Statement of Purpose
- Essays
Specialization Notes
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.