Photo of Setor Zilevu

Computer & electronics hardware

Setor Zilevu

Semi-­automated human-computer interaction.

Year Honored

Meta and Virginia Tech


Hails From

Setor Zilevu, 27, is working at the intersection of human-computer interaction and machine learning to create semi-automated, in-home therapy for stroke patients. After his father suffered a stroke, Zilevu wanted to understand how to integrate those two fields in a way that would enable patients at home to get the same type of therapy, including high-quality feedback, that they might get in a hospital. The semi-­automated human-computer interaction, which Zilevu calls the “tacit computable empower” method, can be applied to other domains both within and outside health care," he says.