معرفی
Chris Volinsky is a Clinical Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, joining in September 2023. His work bridges industry-scale data science and academic research, focusing on practical applications of machine learning and statistical modeling in business contexts.
Education:
- PhD in Statistics, University of Washington
- BA in Statistics and Mathematics, University of Buffalo
His research interests lie at the intersection of data science and business operations, with a focus on recommender systems, personalization, social network analysis, and mitigating bias in machine learning models. He also emphasizes data visualization and the ethical implications of data usage, particularly in balancing innovation with privacy concerns and regulatory compliance.
While no specific publications are listed in the provided text, his career has been defined by high-impact, real-world applications of data science, particularly in telecommunications and entertainment industries.
Scientific Awards:
- $1M Netflix Prize (2009) as member of BellKor's Pragmatic Chaos team
Volinsky has extensive experience in advising and leading data science teams. He led a team of 40 data scientists at AT&T, where he oversaw projects with significant business impact, including fraud detection, customer complaint prediction, and computer vision applications. Although formal student advising is not detailed, his leadership roles imply substantial mentorship and team development. He has not disclosed specific grants, but his work at AT&T and NYU suggests engagement with large-scale, industry-funded research initiatives.
He was instrumental in pioneering work on large-scale recommender systems and continues to contribute to the evolution of data-driven decision-making in enterprise settings.
