Gao’s research lies at the intersection between
computer science and biology. His work has two main focuses: 1) developing
theory and methodology in the fields of machine learning and algorithms; and 2)
solving key open problems in biological and medical fields through building
computational models, developing machine-learning techniques, and designing
effective and efficient algorithms. In particular, he aims to solve problems
that occur along the path from protein amino acid sequences to their
three-dimensional structures and functions that ultimately lead to their undesirable
expression in complex biological networks.
