Robel Daniel

Robel Daniel is a PhD student in the School of Public Policy at the University of Maryland, College Park. His research interests include artificial intelligence regulation, technology policy, cybersecurity and international cooperation around emerging technologies. He is particularly focused on the socioeconomic and security implications of the exponential growth of deep learning models, both domestically and abroad.

Previously, Daniel has worked on machine learning infrastructure at Google, Trust Lab, Airbnb and Meta. In addition to his previous work in software engineering, he has conducted research on artificial intelligence applications in the Sustainability and Artificial Intelligence Lab and Partnership in AI-Assisted Care at Stanford University. He holds a Bachelor of Science degree in computer science (artificial intelligence focus), Bachelor of Arts degree in political science (justice/law and political economy/development focus), and a notation in Science Communication from Stanford University.