Linjian Ma is a highly accomplished researcher with extensive experience in computer science and engineering. With a background in energy engineering and computational science, Linjian has held various roles such as Research Intern at the Simons Foundation and Berkeley Lab, where work focused on automatic differentiation and low-rank approximation for quantum algorithms. Linjian's experience includes positions at Meta, progressing from Software Engineer Intern to Senior Research Scientist, contributing to improvements in PyTorch's data parallelism. Past research includes systematic analysis of optimization in neural networks and multiscale modeling of energy conversion systems. Linjian holds multiple degrees, including a PhD in Computer Science from the University of Illinois at Urbana-Champaign and a Master of Engineering from the University of California, Berkeley.
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