Adji Bousso Dieng

Assistant Professor of Computer Science

Research interests: The intersection of artificial intelligence and the natural sciences.

A magnifying glass focused on a string of blue text within a field of white text — A new tool developed at Princeton will help researchers better predict which metal organic frameworks can be made in a lab. Illustration by Wright Seneres

New tool narrows the search for ideal material structures

Adji Bousso Dieng recognized by The Africa Report

Andlinger Center conference unpacks AI’s double-edged role in the clean energy transition

A person (face not visible) wearing a white lab coat and blue disposable gloves holds a square lab plate in their left hand. Their right hand holds a pair of tweezers which they are using to pick up one of several small green plants on the plate. — Jonathan Conway, assistant professor of chemical and biological engineering, received an innovation grant for the project “Engineering symbiotic plant-microbe interactions for sustainable agriculture.” Photo by Sameer A. Khan/Fotobuddy

Since 2008, innovation funds have fostered research in AI fairness, sustainable agriculture, drug discovery and more

Microscope image of tin crystals, showing protruding, jagged, smooth, and stunted 3-dimensional features. — A scanning electron microscope image of tin crystals, stimulated by electricity and growing on a copper surface. A new method developed by Princeton researchers could speed up the process of designing and testing new crystalline materials. Image by Lynn Trahey, Argonne National Laboratory

Researchers harness large language models to accelerate materials discovery

Microscope image of tin crystals, showing protruding, jagged, smooth, and stunted 3-dimensional features. — A scanning electron microscope image of tin crystals, stimulated by electricity and growing on a copper surface. A new method developed by Princeton researchers could speed up the process of designing and testing new crystalline materials. Image by Lynn Trahey, Argonne National Laboratory

Researchers harness large language models to accelerate materials discovery

Computer Science

Computer Science

Leading the field through foundational theory, applications, and societal impact