Christopher Aberger is a director of software engineering at SambaNova Systems where he directs the machine learning team. Christopher works on efficient training algorithms for new and emerging hardware architectures. He received his Ph.D. degree in Computer Science from Stanford University where he studied the intersection of graph, database, and machine learning systems; this work received a Best Of award at VLDB in 2016 and an invited TODS article in 2017.