Yatao Bian is a machine learning researcher with nine years of experience bridging academic rigor and applied AI, holding a doctoral focus in machine learning from ETH Zürich. He has deep hands-on expertise in Python, PyTorch, and TensorFlow and a track record of building federated learning systems—having designed FedAvg-style algorithms and a low-level TensorFlow simulation for decentralized LSTM training during a Google research internship. His background in computer vision and pattern recognition from Shanghai Jiao Tong University complements his work on distribution drift and mobile-network simulation for realistic decentralized datasets. Based in Zurich with international roots in Singapore and China, he combines theoretical research chops with practical system-building, often working at the intersection of privacy-preserving learning and scalable training infrastructure.
9 years of coding experience
5 years of employment as a software developer
Doctoral student in Computer Science machine learning, Doctoral student in Computer Science machine learning at ETH Zürich
M.S.Eng. machine learning, M.S.Eng. machine learning at Shanghai Jiao Tong University
Contributions:2 pushes, 1 branch in 1 year 11 months
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