哥倫比亞大學教授羅紹華因利用統計數據解決社會問題而獲獎

近年來，越來越多的中國學子選擇留學，那其中哥倫比亞大學教授羅紹華因利用統計數據解決社會問題而獲獎？本文則針對這個問題，為大家整理了資料，接下來咱們就一起往下了解吧。

　　Columbia Professor Shaw-Hwa Lo Honored for Using Statistics to Solve Societal Problems

　　哥倫比亞大學教授羅紹華（Shaw Hwa Lo）因利用統計數據解決社會問題而獲獎

　　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.

　　在哥倫比亞大學的同事和學生中，羅紹華被譽為杰出的統計學家、敬業的教師和創新的研究者。羅教授是統計學教授，在哥倫比亞大學任教近30年。他以數學統計學家的身份開始他的職業生涯，他在這個領域的早期貢獻是在漸近線理論、生存分析和重采樣方法等聽起來很神秘的領域。但在上世紀90年代末，他通過使用統計方法來了解新興的遺傳學領域，擴大了自己的研究范圍。當時，基因組研究的進展增加了遺傳數據的規模，并確定了導致幾種疾病的遺傳變異。如何預測哪些變異導致了哪些疾病成為當時的一個中心問題。Lo將統計學和分子生物學結合起來，從而量化DNA中的1億個標記（SNP），最終幫助破解人類基因組。他還建立了統計模型，以確定與某些疾病相關的基因，如炎癥性腸病、抽動穢語綜合征、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

通過上文的內容介紹，大家對“哥倫比亞大學教授羅紹華因利用統計數據解決社會問題而獲獎”大家是不是有了一個大致的了解呢？如果大家還想了解更詳細、更多的相關內容，則可以繼續關注本頻道，也可以向本頻道咨詢。

>>免費領全球留學白皮書，了解各大學報考條件、費用、開學時間、含金量<<