哥倫比亞大學(xué)教授羅紹華因利用統(tǒng)計數(shù)據(jù)解決社會問題而獲獎

近年來，越來越多的中國學(xué)子選擇留學(xué)，那其中哥倫比亞大學(xué)教授羅紹華因利用統(tǒng)計數(shù)據(jù)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(xué)教授羅紹華（Shaw Hwa Lo）因利用統(tǒng)計數(shù)據(jù)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(xué)的同事和學(xué)生中，羅紹華被譽(yù)為杰出的統(tǒng)計學(xué)家、敬業(yè)的教師和創(chuàng)新的研究者。羅教授是統(tǒng)計學(xué)教授，在哥倫比亞大學(xué)任教近30年。他以數(shù)學(xué)統(tǒng)計學(xué)家的身份開始他的職業(yè)生涯，他在這個領(lǐng)域的早期貢獻(xiàn)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(lǐng)域。但在上世紀(jì)90年代末，他通過使用統(tǒng)計方法來了解新興的遺傳學(xué)領(lǐng)域，擴(kuò)大了自己的研究范圍。當(dāng)時，基因組研究的進(jìn)展增加了遺傳數(shù)據(jù)的規(guī)模，并確定了導(dǎo)致幾種疾病的遺傳變異。如何預(yù)測哪些變異導(dǎo)致了哪些疾病成為當(dāng)時的一個中心問題。Lo將統(tǒng)計學(xué)和分子生物學(xué)結(jié)合起來，從而量化DNA中的1億個標(biāo)記（SNP），最終幫助破解人類基因組。他還建立了統(tǒng)計模型，以確定與某些疾病相關(guān)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

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