Panos Ipeirotis

Panos Ipeirotis is a Professor at the Leonard N. Stern School of Business at New York University, affiliated with the Department of Technology, Operations, and Statistics. He also serves as the George A. Kellner Faculty Fellow and is associated with the Center for Data Science and Computer Science departments at NYU.

• PhD in Computer Science (Columbia University, 2004)
• MSc in Computer Science (Columbia University, 2001)
• BSc in Computer Engineering & Informatics (University of Patras, 1999)

His research spans crowdsourcing, machine learning, human-AI collaboration, online labor markets, and social media analytics. He pioneered human-machine loop systems that combine human and machine intelligence to achieve superior outcomes. His work has applications in data quality assurance, visual media search (e.g., Google Project Glass), and economic valuation of user-generated content.

Recent publications focus on algorithmic fairness in hiring systems, occupational segregation analysis, and theoretical advancements in crowdsourcing consensus mechanisms. Earlier work includes foundational studies on data quality in crowdsourcing platforms, economic impacts of product reviews, and query optimization for text-centric tasks.

• 2015 Lagrange Prize in Complex Systems
• NSF CAREER Award
• SIGKDD Test of Time Award (2020)
• Multiple Best Paper awards (WWW 2011, KDD 2008, SIGMOD 2006)

He has received significant grants, including a $1.5 million Google Research Grant (2013) for integrating crowdsourcing with machine learning algorithms. His work bridges computer science, economics, and social psychology, with implications for policy-making and business strategy.