Mufeng Tang

Applied Scientist

Mufeng Tang is an Applied Scientist at Amazon and a Ph.D. candidate in Computational Neuroscience and Machine Learning at the University of Oxford, specializing in biologically plausible neural networks and brain circuit modeling. Mufeng previously supervised MSc Neuroscience projects at the University of Oxford and served as a Teaching Assistant for a Machine Learning course at the University of Chicago. Mufeng holds a Master of Science in Statistics from the University of Chicago and a Bachelor's degree in Arts and Sciences from UCL, where they graduated with first class honours.

Location

Oxford, United Kingdom

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