Summary
Yifan Zhang is a Lead AI Research Scientist based in Singapore with eight years of experience bridging foundational AI research and real-world deployment. He holds a PhD from NUS, with a focus on building machine learning models that remain robust under shifting data distributions and on reusing foundation models across modalities and applications. His work—published in top venues like NeurIPS, ICML, ICLR, CVPR and IEEE TPAMI—reflects both theoretical rigor and practical impact, and has been recognized by awards such as Google PhD Fellow and DAAD AInet Fellow. Yifan has moved between top research labs and industry (Tencent, TikTok, Skywork AI, MiroMind.ai), often tackling data-scarce problems and dataset expansion paradigms that improve model generalization. Colleagues describe him as a researcher who combines deep academic pedigree with product-minded experimentation, frequently pushing generative and multi-modal models toward practical reuse.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Southwest University
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at South China University of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore