[2:05 PM, Friday, 9/30/2022, Zoom Presentation] Sharing experience as a PhD student, PhD candidate and PhD intern
Wei Ding
Sharing experience as a PhD student, PhD candidate and PhD intern
BIO
Olga Andreeva received her B.Sc. degree in Computer Science with a special focus on Informatics and International Relations from the Saint Petersburg State University in Russia before joining the Master’s program at the University of Massachusetts Boston in September 2016. In Spring 2018 she transferred to the PhD program. Under the mentorship of Professors Wei Ding and Ping Chen, she is pursuing her research interests in the areas of machine learning, data mining, natural language processing and deep learning, with applications to health informatics. Olga is an active advocate promoting women in Computer Science. In collaboration with Harvard University, MIT, Northeastern University, and WSGH/Wentworth, For two years, Olga has led the effort to organize TechSavvy Day under the theme of “Learning Computer Science in One Day” to host around 100 girls from various middle schools in Greater Boston. Olga was awarded two CSM PhD Fellowships from UMass Boston and is a frequent reviewer of top journals and conferences in data mining and machine learning, including CIKM, ACM SIGKDD, ICDM, AAAI, and TKDE.
Abstract
Machine learning is a powerful mechanism transforming the modern society at large. Unfortunately, there is no set path to follow in becoming a ML engineer/researcher. In this
talk, I will discuss my academic and industry experience as a PhD student and share strategies that helped me in doing research, publishing papers and working as a PhD ML intern.
Computer Science Department & Women in Sciences Club
UMass Boston