معرفی
Chris H. Wiggins serves as Associate Professor of Applied Mathematics at Columbia Engineering and Chief Data Scientist at The New York Times. He is a founding member of Columbia's Data Science Institute executive committee and Department of Systems Biology, with additional affiliations in Statistics, Foundations of Data Science, Health Analytics, Computational Social Science, and Education.
His educational background includes:
- PhD in Theoretical Physics from Princeton University (1993-1998)
- Courant Instructor position at NYU (1998-2001)
Wiggins' research bridges data science ethics, systems biology, and applied mathematics, focusing on societal implications of technology. His work examines disinformation ecosystems, ethical product design frameworks, and algorithmic accountability through interdisciplinary lenses combining computational methods with social science perspectives.
His publications reveal a consistent emphasis on ethical infrastructure in data science, particularly how social media platforms can implement Tukey-inspired principles through measurable objectives. This reflects his broader mission to operationalize ethics in technology development.
Award highlights:
- Fellow of the American Physical Society
- Columbia’s Avanessians Diversity Award
Wiggins co-founded hackNY (2010), establishing semesterly student hackathons and the Fellows Program connecting students with NYC startups. His advisory work focuses on creating structured pathways for academic-industry collaboration in data science education.
He leads Columbia's Computational Social Science initiatives and hackNY's educational infrastructure, fostering communities where students develop real-world data science solutions while engaging with ethical challenges.
