Frank Schoeneman

Mt. Diablo, Contra Costa County, California

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Frank Schoeneman
PhD Candidate, Computer Science
University at Buffalo

SCoRe Group Lab
Office 336, Davis Hall
Buffalo, NY, 14260


About Me

I'm a PhD Candidate in the Department of Computer Science & Engineering (CSE) at the University at Buffalo. Within the department I have served as a teaching assistant for undergraduate and graduate CSE courses.
I am also research assistant and lab manager for SCoRe Group. The group designs algorithms, data structures and implementations that scale from multi- and many-cores to petascale systems and beyond.


Research Interests

My interests lie in high-performance computing and data analytics, particularly scalable machine learning algorithms.
I am currently investigating scalable algorithms for non-linear spectral dimensionality reduction (NLSDR). The focus of my work is developing efficient, scalable solutions to the k-Nearest-Neighbors (kNN) problem in high-dimensions.
I'm also interested in applications to problems that arise in the sciences and engineering. FluidFlow is one such project. Here I have leveraged machine learning techniques for microfluid flow design.