北京大学定量生物学中心
学术报告
题 目：Strategies of growth control: how simplicity emerge from biomolecular complexity
报告人：Dr. Terry Hwa
Presidential Chair Professor, Department of Physics, Div. Physical Sciences, Section of Molecular Biology, Div. Biological Sciences,
Co-director, Ph.D. Specialization in Quantitative Biology,
U.C. San Diego
时 间：6月25日（周一）13:00-14:00
地 点：北京大学老化学楼东配楼101报告厅
主持人: 汤超 教授
报告人简介：
Terry Hwa is a Distinguished Professor and Presidential Chair of Physics, with joint appointment in the Division of Biological Sciences at U.C. San Diego. He received his B.S. degree in Physics, Biology, and Electrical Engineering from Stanford University in 1986, and his Ph.D. in Physics from MIT in 1990. He continued his post-doctoral research in statistical physics at Harvard University from 1990 to 1993, and was a long-term member at the Institute for Advanced Study in Princeton 1993-94. He joined the physics faculty at U.C. San Diego in 1995 where he has been ever since. Dr. Hwa is an active proponent of interdisciplinary research and the inaugural co-director of the Graduate Program in Quantitative Biology at UC San Diego. He is a recipient of numerous awards including the Sloan and Guggenheim Fellowship, and is a Fellow of the American Physical Society and the American Academy of Microbiology.
Dr. Hwa's research at UC San Diego was initially in theoretical biological physics, covering computational biology, molecular biophysics, and developing models of combinatorial transcriptional and post-transcriptional control. In 2003, Dr. Hwa started a wet lab which quickly focused on bacterial growth physiology. His lab established a principle of proteome resource allocation based on a number of bacterial growth laws, leading to simple quantitative theories describing bacterial growth control and gene expression for a variety of environmental and genetic perturbations. The Hwa lab is continuing to extend their physiological approach to characterize bacterial species singly and in consortium, to uncover underlying principles governing the dynamics of microbial communities.
