About

Michael is a Ph.D. Candidate in the Human-Computer Interaction Institute at Carnegie Mellon University and a fellow in the IES-funded Program for Interdisciplinary Education Research, where he researches the design of algorithmic systems in the public sector, focusing on literacy education in developing countries. His research has been published in conferences focused on computer science and the learning sciences, winning several best paper awards. He has been a research intern at the United Nations Institute for Computing and Society, and Microsoft Research’s Fairness, Accountability, Transparency, and Ethics in Artificial Intelligence Research Group, focusing on the impact of machine learning systems on society. Prior to his Ph.D., he completed a Masters of Science in Digital Media Studies at Georgia Institute of Technology, a Masters in Education, and a Bachelors in English Literature from University of Maryland, College Park, and was a public high school teacher near Washington D.C.

Education

Carnegie Mellon University

Ph.D. , Computer Science

Class of 2020

Awards & Publications