Overview
To better understand the fundamental “rules” that guide human health and disease, Salk scientists are integrating experimental biology and computational tools, including information theory, computer science, and engineering. The beauty of these approaches is that they can be applied to find patterns in any type of research: cancer, immunology, metabolism, neuroscience, aging, plant biology, and more.
The field of artificial intelligence (AI) is dedicated to designing machines and algorithms capable of perceiving, understanding, and learning from vast datasets. At Salk, researchers employ AI techniques, such as machine learning and deep learning, to decipher genetic information and refine cancer diagnostics, among other goals, improving their AI models in the process.
Professor
Genomic Analysis Laboratory, Plant Molecular and Cellular Biology Laboratory
Director, Genomic Analysis Laboratory
Associate Professor
Integrative Biology Laboratory, Laboratory of Genetics
Laboratory of Genetics
Salk Fellow
