Bruno Abrahao is an Assistant Professor of Information Systems and Business Analytics and a Global Network Assistant Professor at New York University. He is also a faculty member in the Center for Data Science and Artificial Intelligence.
Professor Abrahao holds a PhD in Computer Science from Cornell University and was a Postdoctoral Fellow at Stanford University, affiliated with the Computer Science and with the Sociology departments, as well as a Postdoctoral Researcher at Microsoft Research AI, Redmond.
His research largely focuses on the role of technology and Artificial Intelligence in social systems. He focuses on theoretical and applied aspects of Data Science and Machine Learning to investigate social and business processes, the structure of evolving complex systems, such as social and information networks, and on computational social science.
- Artificial Intelligence for Business
- Data Science for Social and Information Networks
- Computational Social Science
- Microsoft Research AI, Redmond Postdoctoral Researcher
- Stanford University, Postdoctoral Fellow, Computer Science
- Stanford University, Postdoctoral Fellow, Sociology
- Cornell University, Ph.D. Computer Science
11/30/2019 - TEDxNingbo: I gave a talk titled "Can AI aid the treatment of depression?"
6/14/2019 - Outstanding Study Design Paper Award is given by the Thirteen International Association for the Advancement of Artificial Intelligence Conference on Web and Social Media 2019 for the paper “A Social Media Study on the Effects of Psychiatric Medication Use”
5/23/2019 - NYU Shanghai Press - AI Helps Uncover Long-Term Effects of Antidepressants 【中文】
9/1/2019 - CITIES (NYU Abu Dhabi) - Grant proposal approved to analyze massive social media data to investigate social processes in urban environments, shaping the experience of potentially millions of people in cities.
9/5/2017 - Stanford study examining Airbnb users and data suggests that reputation can offset social bias
Honors and Awards
Outstanding Study Design Paper Award is given by the Thirteen International Association for the Advancement of Artificial Intelligence Conference on Web and social media for the paper “A Social Media Study on the Effects of Psychiatric Medication Use”
Best Paper Award Finalist for the paper "Fractal Characterization of Web Workloads", Eleventh International World Wide Web Conference (WWW'02)
Teaching Award, Cornell University. For outstanding accomplishments and contributions as a teaching assistant, 2009