معرفی
Chris Clifton is a Professor of Statistics (Courtesy) at Purdue University, affiliated with the Department of Computer Sciences and the Department of Statistics. He holds a Ph.D. from Princeton University (1991) and has over 30 years of experience in academia and industry. His research focuses on data privacy, data mining, and database security, with notable contributions to privacy-preserving techniques and differential privacy.
Education:
- B.S./M.S. in Computer Science and Engineering, MIT (1986)
- M.A./Ph.D. in Computer Science, Princeton University (1988/1991)
Research Interests: Data privacy (including anonymization, disclosure limitation), machine learning fairness, privacy-preserving data mining, database security, and interdisciplinary applications in healthcare and logistics.
Awards:
- IEEE Fellow (2020)
- ACM Distinguished Member (2017)
- Multiple College of Science Awards (Teaching, Teamwork, Mentoring)
Grants & Advising: Led NSF-funded research on algorithmic bias and privacy metrics. Advised numerous graduate students in data science and security. Played roles such as Interim Department Head (2023–2024) and served on NSF program director teams.
Labs/Teams: Active in Purdue’s Data Privacy Research Group and collaborations with industry partners like MITRE and NSF initiatives.
