Abstract:

　　The goal of slowing the rate of aging is a huge challenge because ofthe intricatecomplexity of the human body. However, the capabilities of computational and analyticaltechnologies have been and are likely to continue increasing exponentially, bringing withinrange the ability to model the aging process accurately enough to design effective age-retarding therapies. Employment of the computational and experimental “compute, predict.test, improve" cyele so successfully used in materials science and catalysis is highlyapplicable to aging research. Hence it's valuable to recognize the earliest time when thesetechnigues can first enable developmentt of effective age-retarding treatments

Biography:

　　Prof. Edward Sharman received his Bachelor's degree in Chemistry firom UC Berkeley1968, PhD degree in Chemical Physies from the Univ, of Southern Califomnia. Initiallyworked in industry applying spectroscopic methods to the design of industrial gas monitorsand controls, career change in 2000 to biomedical research as a Research Specialist,currently in the Department of' Neurology at UCl; presently studying properties ofcells derived from ALS patients.