DB Tsai is a senior research engineer working on personalized recommendation algorithms at Netflix. He’s also a member of and committer for the Apache Spark Project Management Committee (PMC). DB has implemented several algorithms, including linear Rrgression and binary/multinomial logistic regression with elastic net (L1/L2) regularization using LBFGS/OWL-QN optimizers in Apache Spark. Previously, he was a lead machine learning engineer at Alpine Data Labs, where he led a team to develop innovative large-scale distributed learning algorithms and contributed back to the open source Apache Spark project. DB was a PhD candidate in applied physics at Stanford University. He holds a master’s degree in electrical engineering from Stanford University.
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