Chris Lee's research focuses on the development of computational multiscale models to investigate emergent system behaviors in biology. Using his training in both biochemistry and computer science (BS in chemistry and BA in computer science, University of Virginia; MS in chemistry, University of Virginia; PhD in chemistry, UC San Diego), he develops and applies new algorithms and software to model and study the complexity of life. He is currently studying phenomena such as the regulation of synaptic plasticity and learning in dendritic spines.
Institution:
University of California, San Diego (UCSD)
Department:
Department of Mechanical and Aerospace Engineering