The MIT Schwarzman College of Computing announced seven new faculty for 2026, spanning core computing appointments and shared positions across departments. Their work pushes AI, quantum computing, human‑AI interaction, and macro‑economics/finance in novel directions.\n\nShared faculty: David Bruns‑Smith (MIT Sloan, joint with EECS) focuses on debiased machine learning for macroeconomics and household finance; Zana Buçinca (MIT Sloan, joint with EECS) studies human‑AI interaction and the future of work, designing AI‑assisted tools that amplify human values; Alexandra Cabral (Urban Studies & Planning, joint with IDSS) works on low‑cost sensor networks, smart cities, and environmental informatics; Alexandru Damian (Mathematics, joint with EECS) develops a predictive and prescriptive theory of deep learning; Lindsey Raymond (Economics, joint with EECS) investigates how digital technologies and AI affect labor markets, firms, and competition.\n\nCore faculty: Jas Brooks, KDD Career Development Professor in Communications and Technology, researches perceptual engineering—computational interfaces that sense and modulate human perception; Hengyun (Harry) Zhou, an assistant professor in EECS, advances large‑scale fault‑tolerant quantum computers through full‑stack architectural innovation, previously leading quantum error‑correction architecture at QuEra Computing.\n\nAll hires are appointed in the Department of Electrical Engineering and Computer Science (EECS) and are members of labs such as the Laboratory for Information and Decision Systems (LIDS) or the Computer Science and Artificial Intelligence Laboratory (CSAIL).\n\nReview: These appointments bolster MIT’s leadership in AI and machine‑learning research while expanding expertise into quantum computing and interdisciplinary economics.