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Unsupervised Learning on Scientific Data

Scientific knowledge discovery is often challenged due to the lack of labeled data and thus unsupervised learning is an ideal approach to dig into data to figure out interesting patterns.  We explore how to effectively navigate such scientific data using unsupervised learning approaches and present our algorithm developments according to the needs of scientific data mining activites. 

Bio

Dr. Shinjae Yoo is an Associate Computational Scientist in the Computational Science Center at BNL. He received his Ph.D. degree from Carnegie Mellon University. His research interest is applying data driven modeling to scientific discovery where he has been working on biology, renewable energy, material science, etc.

Speaker

Shinjae Yoo

Date

Thursday, October 15, 2015

Time

1 pm - 2 pm

Location

IACS Seminar Room