Naod Abraham

Naod Abraham is a former Digital Policy Hub undergraduate fellow and a third-year mathematical physics student at the University of Waterloo with an interest in computer science. His research with the Digital Policy Hub investigated the applications of machine learning for practically important problems.

This external contributor’s bio may not be up to date and media requests cannot be facilitated but we are happy to connect you with a CIGI expert.

Expertise
Machine learning

Bio

Naod Abraham is a former Digital Policy Hub undergraduate fellow and a third-year mathematical physics student at the University of Waterloo with an interest in computer science. Early in his studies, Naod published a paper about computational complexity theory and machine learning in a peer-reviewed journal. During his fellowship at the Digital Policy Hub, he further investigated the applications of machine learning for other practically important problems.

From This Expert