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Jas Brooks joined EECS an assistant professor. They are also a member of CSAIL. Their work focuses on perceptual engineering: the design of computational interfaces that sense and modulate human sensory perception. Previously, they were a Rising Star in EECS, a Siebel Scholar, and a National Science Foundation Graduate Research Fellow. They hold a BS and PhD in computer science from the University of Chicago.

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Alexandru Damian joined the departments of Mathematics and EECS as an assistant professor, in a shared appointment with the Schwarzman College of Computing. He is also a member of LIDS. His work is focused on developing a predictive, and ultimately prescriptive, theory of deep learning. He holds a BS in mathematics from Duke University and a PhD in applied and computational mathematics from Princeton University.

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David Bruns-Smith joined the MIT Sloan School of Management and EECS as an assistant professor, in a shared appointment with the Schwarzman College of Computing. He is also a member of LIDS. His recent research has focused on debiased machine learning with applications in macroeconomics and household finance. Previously, he was a postdoctoral fellow at Stanford Data Science, and he completed his PhD in computer science at the University of California, Berkeley.

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Lindsey Raymond PhD ’24 joined the departments of Economics and EECS as an assistant professor, in a shared appointment with the Schwarzman College of Computing. She is also a member of LIDS. Her research involves the effects of digital technologies and artificial intelligence on labor markets, firms, and market competition. She was a postdoctoral researcher in economics and computation at Microsoft and earned her PhD from MIT Sloan.

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Zana Buçinca joined the MIT Sloan School of Management and EECS as an assistant professor, in a shared appointment with the Schwarzman College of Computing. She is also a member of LIDS. Her research interests lie at the intersection of human-AI interaction and the future of work, and involves designing human-AI interaction techniques that complement people and amplify their values in AI-assisted work. She was a postdoctoral researcher at Microsoft in the Office of Applied Research and received her PhD in computer science from Harvard University.

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Hengyun (Harry) Zhou SB ’16 joined EECS an assistant professor. He is also a member of the Research Laboratory of Electronics. His research focuses on accelerating the development of large-scale, fault-tolerant quantum computers through full-stack architectural innovation. Before coming to MIT, he previously served as the Quantum Error Correction Architecture Lead at QuEra Computing. He earned his PhD in physics from Harvard University.

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Alexandra Cabral joined the Department of Urban Studies and Planning and the Institute for Data, Systems, and Society as an assistant professor in a shared appointment with the Schwarzman College of Computing. Her research focus includes low-cost sensor networks, smart cities, environmental informatics, and low resource computing. Previously, she was a postdoctoral fellow in the Ka Moamoa Lab at the Georgia Institute of Technology and served as a 2025-2026 NSF ICICLE Educational Fellow. She earned her PhD in computer science from Harvard University.