TEAM


MATIAS DEL CAMPO – DIRECTOR AR2IL

Dr. Matias del Campo is a registered architect, designer and educator. Founded together with Sandra Manninger in Vienna 2003, SPAN is a globally acting practice best known for their application of contemporary technologies in architectural production. Their award-winning architectural designs are informed by advanced geometry, computational methodologies, and philosophical inquiry. This frame of considerations is described by SPAN as a design ecology. Most recently Matias del Campo was awarded the Accelerate@CERN fellowship, the AIA Studio Prize and was elected into the boards of directors of ACADIA. SPAN’s work is in the permanent collection of the FRAC, the MAK in Vienna, the Benetton Collection, and the Albertina. He is Associate Professor at Taubman College for Architecture and Urban Planning, University of Michigan.

ALEXANDRA CARLSON – PhD Student

Alexandra Carlson is a PhD Student in the University of Michigan Robotics Institute. Her graduate research focuses on robust computer vision for autonomous vehicles, specifically on realistic visual feature modeling in images to improve detection and segmentation algorithm performance. She has served as a graduate student mentor for the Taubman AI+Architecture Master’s thesis studio for the past two years, and has collaborated on numerous architecture projects that involve modeling style in both images and 3D models. She has a BA in psychology from the University of Chicago, where she performed research in both computational neuroscience and physics.

DANISH SYED – RESEARCH ASSISTANT

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Danish Syed is a Masters student in Electrical & Computer Engineering at the University of Michigan, Ann Arbor. His interest lies at the intersection of Computer Vision, Machine Learning and Geometric Deep Learning – specifically, to understand how machines can learn to build the underlying representation of our 3D world through observation and/or interaction. Previously, he worked as a Data Scientist at ZS in India, where he applied the concepts of Computer Vision, Natural Language Processing and Machine Learning to solve problems across Healthcare, Gaming and Software domains.

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