About the Research Center
We aim to explore the design, analysis and application of massive-scale computing systems for processing data, in the most general sense.
The goal is to address the underlying systems aspects of big data — including data processing, storage and retrieval — which are central to some of the key research and societal challenges of the 21st Century.
The AI for Sciences and Engineering Center explores the design, analysis, and application of scale-appropriate AI and computing platforms that advance scientific reasoning and discovery. The Center’s mission is to build and understand the next generation of AI architectures and algorithms, not just trained on scientific data, but designed to reflect the structure of the sciences themselves.
AI for Sciences and Engineering: Monthly Seminar Series
The AI for Sciences and Engineering Monthly Seminar Series, hosted by the DSI Computing Systems for Data-Driven Science Center, will run monthly throughout the 2025–26 academic year. Designed to spark collaboration across disciplines, the series alternates between invited talks from external experts and Columbia-led lightning sessions, with a focus on four core themes: Quantum, Astrophysics, Environment/Climate, and Engineering.
Open to Columbia faculty, the series provides a forum to exchange ideas, share expertise, and build research connections across domains.
Contact
Columbia Engineering
Michael Bykhovsky and Charo Gonzalez-Bykhovsky Professor of Chemical Engineering
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