Zhenbang Tan

Zhenbang Tan is a Machine Learning Engineer at Apple, where responsibilities include developing advanced machine learning solutions. Previously, Zhenbang Tan served as a Machine Learning Engineer Intern at Apple, contributing to the Input Experience - NLP Team by developing a post-editing auto-correction system using sequence-to-sequence models. Experience includes a role as a Research Assistant at Columbia University's Creative Machines Lab and research on convolutional neural networks for skin image classification at the University of Melbourne. Zhenbang Tan holds a Master of Science in Computer Science from Columbia University, a Bachelor of Science in Mathematics and Statistics from the University of Melbourne, and a Bachelor of Advanced Studies (Honours) in Data Science/Machine Learning from the University of Sydney. Additionally, Zhenbang Tan has undertaken extension studies in Mathematics at the University of Melbourne.