Bio
Furong Huang is a 6th year Ph.D. Candidate from UC Irvine working with Professor Anima Anandkumar. Her research interests lie in developing scalable and parallel algorithms for large-scale data using statistical models. She has worked on non-convex function optimization such as finding tensor decomposition using stochastic gradient descent; developing fast detection algorithm to discover hidden and overlapping user communities from social networks; designing a parallel spectral tensor decomposition algorithm for topic modeling in Map-Reduce frameworks. Beside pure statistical computation, Furong has applied her machine learning techniques to biology. Recently she worked on neuronal cell types and their gene expression profiles in mouse brain by extracting mixture of spatial point process on large-scale high-resolution brain images, and the project started during her internship at Microsoft Research New England with Jennifer Chayes and Christian Borgs, along with Srinivas Turaga from Janelia Labs.
Sessions By This Speaker
