Eric Xing has been named a 2026 fellow of the International Society for Computational Biology (ISCB), recognizing his contributions to computational biology, artificial intelligence and the development of data-driven approaches to complex biological systems.

The ISCB Fellows program honors individuals who have demonstrated excellence through leadership, research and service, and whose work has advanced the field of computational biology. Fellows are selected for their sustained impact on scientific innovation and collaboration across disciplines.

A professor in the Machine Learning Department, Computer Science Department and Language Technologies Institute, Xing develops machine learning and statistical methodologies and large-scale computational systems to address challenges in automated learning, reasoning and decision-making. His work spans applications in genomics, healthcare and artificial intelligence, with a focus on integrating complex biological data into predictive and interpretable models. He has advanced approaches that combine biological foundation models with AI-driven frameworks to analyze genomics, transcriptomics and clinical data, enabling more precise disease understanding and simulation-based exploration of complex biological systems.

Xing will be formally recognized as part of the ISCB Fellows Class of 2026 at the ISMB 2026 conference this summer in Washington, D.C.

For more information, visit the ISCB website.