Bruno Abrahao

Bruno Abrahao is an Assistant Professor of Information Systems and Business Analytics at NYU Shanghai and a Global Network Assistant Professor at the Leonard N. Stern School of Business, New York University. He is also a faculty member in the Center for Artificial Intelligence and Deep Learning.

His educational background includes:

• PhD in Computer Science from Cornell University (under Bobby Kleinberg)
• MSc in Computer Science from Cornell University

Professor Abrahao's research centers on the applications of Artificial Intelligence in business, alongside foundational methods in deep learning and large language models. He also focuses on data science to analyze interactions within digital platforms and marketplaces, uncovering insights into their structure and evolution to improve decision-making and operational efficiency. His work bridges the gap between theoretical AI advancements and practical business applications, with a particular emphasis on how AI can transform traditional business processes and create new opportunities in the digital economy.

His recent publications demonstrate a strong focus on applying cutting-edge AI techniques to solve complex business problems across multiple sectors including finance, marketing, operations, and digital platforms. The research shows a clear trajectory toward more sophisticated AI applications with increasing emphasis on ethical considerations, explainability, and practical implementation challenges.

His notable awards include:

• Outstanding Study Design Paper Award 2019 by the Thirteen International Association for the Advancement of Artificial Intelligence Conference on Web and social media
• Best Extended Abstract Award for 'From Power to Status in Online Exchange', Association for Computing Machinery Web Science 2012
• Best Paper Award Finalist for 'Fractal Characterization of Web Workloads', Eleventh International World Wide Web Conference
• Teaching Award from Cornell University (2009)

Professor Abrahao has taught various courses including 'AI for Business – Reinforcement Learning', 'AI for Business – Machine Learning', 'Network Analytics (graduate level)', and 'Computer Science Independent Study'. His teaching focuses on equipping students with practical AI skills that can be directly applied to business challenges, emphasizing hands-on learning and real-world application of AI techniques.