Connor Hann is a PhD candidate in Physics at Yale, where he studies quantum information science. In particular, his research focuses on the development of novel architectures for quantum computing. He received his BS from Duke University, where he began teaching during his first year. Since then, he’s taught over a dozen different college-level math and physics courses, and even worked as full-time middle school teacher. Connor is particularly interested in the concept of scientific teaching and how evidence-based teaching practices can create more welcoming and inclusive classrooms. Connor is excited to share his love of teaching with others as a Graduate Teaching Fellow.