Shoeb holds an M.S. in computational and applied mathematics from Rice University, an M.S. in electrical engineering from Texas A&M, and a degree in electronics and communications from Indian Institute of Technology Roorkee, India.
He is a talented software developer well-versed in using neural and statistical machine learning to solve specific problems in science and engineering for industry. His graduate work included projects in unsupervised learning, convolutional neural networks, and discrete optimization.
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