Mei Todaka is a senior Data Scientist with 8+ years applying math and operations research to high-tech manufacturing, currently shaping design embeddings and optimization at Micron. She blends deep expertise in GNNs, deep reinforcement learning, and distributed GPU computing with a track record of taking systems from concept to production—ranging from line prioritization and capacity modelling to RL-driven scheduling simulators. Mei has repeatedly translated novel academic ideas (e.g., capacity reliability, purge-out time) into deployed tools that influence senior management decisions and fab operations. Based in Salt Lake City, she pairs rigorous quantitative modeling with practical engineering—often instrumenting large-scale simulations via Rapids/Dask and Ray to make hidden system behaviors visible.
8 years of coding experience
22 years of employment as a software developer
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Yamaguchi University
Master's degree Operations Research, Master's degree Operations Research at University of Tsukuba
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Mei Todaka - Data Scientist (Senior Member Of Technical Staff)