Michael Castelle is an Assistant Professor in the Centre for Interdisciplinary Methodologies at the University of Warwick. He received a PhD from the University of Chicago Department of Sociology in 2017, and also holds an Sc.B. in Computer Science from Brown University. His work draws from the fields of science and technology studies, machine learning, sociological theory, the history and philosophy of computing, economic sociology, and linguistic anthropology.
Explosive growth in the contemporary field of deep learning has an undeniable relevance not just for computer vision and machine translation researchers and practitioners, but also for social scientists and historians who will need to contextualize these developments for a broader audience. Michael's research goals are to find the potential "translations" between DL techniques and social scientific and humanistic methods, as well as discovering the implications of sociological, educational, and aesthetic theory (such as the work of Bourdieu, Piaget, and Vygotsky) for DL techniques, including the novel (and intriguingly 'social') architectures of generative adversarial networks.