Summary
Jiaxin Zhang is a Research Scientist and team lead at Salesforce AI Research with eight years of experience building reliable, robust, and safe AI systems focused on RL/post-training, reasoning, agents, and alignment. Previously a Senior Staff Research Scientist at Intuit and a research lead at Oak Ridge, Jiaxin has driven foundation-model innovations for LLM reliability, RAG, multimodality, and secure agent workflows, with multiple publications at NeurIPS, ICLR, CVPR, EMNLP and roles as area chair. She combines deep probabilistic and generative modeling expertise from computational science—applied to healthcare imaging, materials design, and uncertainty quantification—with production-driven tech transfer into product use cases. Notably, her work includes certified financial-domain RAG systems and scalable distributed learning on supercomputers (near-linear scaling to 768 GPUs), reflecting both research rigor and engineering impact. Based in Mountain View, Jiaxin brings a quantitative background from Johns Hopkins and a penchant for financial data modeling that informs her focus on trustworthy AI for high-stakes domains.
9 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Chinese, English