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I am a director of software engineering at a stealth mode startup where I lead the machine learning team. My work focuses on efficient training algorithms for new and emerging hardware architectures. I received my Ph.D. degree in Computer Science from Stanford University where I studied the intersection of graph, database, and machine learning systems under the direction of Christopher Ré and Kunle Olukotun; this work received a Best Of award at VLDB and an invited TODS article.

Christopher R. Aberger
Name : Christopher R. Aberger
Email : craberger at gmail dot com
Location : Bay Area
GitHub ID : chrisaberger

Publications