Columbia Professor Shaw-Hwa Lo Honored for Using Statistics to Solve Societal Problems
哥伦比亚大学教授罗绍华（Shaw Hwa Lo）因利用统计数据解决社会问题而获奖
Among his Columbia colleagues and students, Shaw-Hwa Lo is known as a brilliant statistician, a dedicated teacher and an innovative researcher. Lo, a Professor of Statistics, has taught at Columbia for nearly 30 years. He began his career as a mathematical statistician and his early contributions to the field were in the arcane-sounding areas of Asymptotics Theory, Survival Analysis, and Resampling Methods. But in the late 1990s, he expanded his reach by using statistical methods to understand the burgeoning field of genetics. Back then, advances in genome studies had increased the size of genetic data and identified genetic variants responsible for several diseases. How to predict which variants caused what diseases became a central question of the time. Lo merged statistics and molecular biology so as to quantify 100 millions of markers (SNPs) in DNA, helping ultimately to decode the human genome. He also built statistical models to identify genes associated with certain diseases such as inflammatory bowel disease, Gilles de la Tourette Syndrome, breast cancer and leukemia.
在哥伦比亚大学的同事和学生中，罗绍华被誉为杰出的统计学家、敬业的教师和创新的研究者。罗教授是统计学教授，在哥伦比亚大学任教近30年。他以数学统计学家的身份开始他的职业生涯，他在这个领域的早期贡献是在渐近线理论、生存分析和重采样方法等听起来很神秘的领域。但在上世纪90年代末，他通过使用统计方法来了解新兴的遗传学领域，扩大了自己的研究范围。当时，基因组研究的进展增加了遗传数据的规模，并确定了导致几种疾病的遗传变异。如何预测哪些变异导致了哪些疾病成为当时的一个中心问题。Lo将统计学和分子生物学结合起来，从而量化DNA中的1亿个标记（SNP），最终帮助破解人类基因组。他还建立了统计模型，以确定与某些疾病相关的基因，如炎症性肠病、抽动秽语综合征、乳腺癌和白血病。
Read More here: https://datascience.columbia.edu/columbia-professor-shaw-hwa-lo-honored-using-statistics-solve-societal-problems
更多信息请阅读：https://datascience.columbia.edu/columbia-professor-shaw-hwa-lo-gorden-using-statistics-solve-social-problems
