Gary Han

Ph.dApplication

简介

2013年在纽约州立大学石溪分校用3年时间获得应用数学和物理学本科双学士学位,并以荣誉学生身份毕业 (Magna Cum Laude)。
本科毕业后进入美国排名第一的纽约大学柯朗数学研究所攻读科学计算部门下数据科学专业硕士学位,期间协助著名美籍华裔数学家邓越凡教授在世界科技出版社整理与发表“Lectures, Problems and Solutions for Ordinary Differential Equations”教科书。
本科与硕士暑期分别在在国家超级计算机济南中心及中山大学国家超级计算机广州中心担任助理科研员。硕士毕业后于2015年9月至今,在纽约州立大学石溪分校攻读应用数学博士学位。
After spending three years in State University of New York Stony Brook, Gary received B.S. in applied mathematics and statistics, and physics double major with Magna Cum Laude honor. To further education, he entered Courant Institute of Mathematical Science of New York University majoring scientific computing, concentration in data science. He assisted Professor Yuefan Deng to publish “Lectures, Problems and Solutions for Ordinary Differential Equations”. Now he is in progress achieving PhD degree in SUNY Stony Brook in applied mathematics.

工作经历

教育经历

2015 ~ Present :

SUNY Stony Brook

Ph.D of Applied Mathematics

2013 ~ 2015 :

New York University

Master of Scientific Computing – Data Science Concentration

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