Computational Biology

Computational biology merges biology, math, and computer science to decipher complex life science challenges. Our researchers develop advanced data analysis tools to extract insights from this data deluge, shedding light on genomics and proteomics. This field accelerates drug discovery by identifying drug targets and simulating molecular behavior. It also aids our understanding of intricate biological systems, including diseases, ecology, and evolution, through mathematical models. Computational biology is a crucial force in modern life sciences research, offering innovative solutions within a multidisciplinary framework.

For details of this research work, find out more here:

• Peter Jin, PhD | Jin Lab
• Yang (Eric) Li, PhD | Li Lab
• Michael Province, PhD | Province Lab
• Gary Stormo, PhD | Stormo Lab
• Susan Dutcher, PhD | Dutcher Lab
• Ting Wang, PhD | Wang Lab
• Barak Cohen, PhD | Cohen Lab