Alexander Wiedemann

Scholar, Level 1337

Background

Alex works at the intersection of theory and computation within the fields of network science, computational complexity, and data science. Broadly, he seeks to understand network structure and dynamics, including questions of complexity, approximation, and inference.

In the classroom, he emphasizes active, collaborative, and reflective learning; see teaching for more.

He is also committed to equity, diversity, inclusion, and accessibility in academia broadly writ, and to developing teaching practices that better serve students from underserved groups.