Haoyi Xiong is a Principal Applied Scientist with nine years of experience blending deep academic research and production AI engineering across top labs in China, Europe, and the US. He has published in premier venues (Nature Machine Intelligence, ICML, ICLR, NeurIPS) and holds awards including an IET fellowship and the IEEE TCSC Early Career Researcher Award, reflecting both scholarly impact and applied innovation. At Microsoft he architected model optimization and evaluation for M365 Copilot (BizChat), leading finetuning and RL-based alignment for agentic reasoning and building multi-turn LLM-as-a-Judge evaluation pipelines. Prior roles at Baidu and academic posts show a consistent focus on data-intensive AI systems, mobile crowdsensing, and submodular optimization, with a track record of supervising PhD students and transferring research into large-scale products. Fluent in cross-cultural research environments, he combines rigorous mathematical instincts (a recurring personal motif) with hands-on deployment experience and several patents and publications visible on his Google Scholar profile.
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