Haolin Chen is a founding research scientist and Ph.D. in Applied Mathematics based in Mountain View with nine years of experience building RL, reasoning, and agentic AI systems from research prototypes to enterprise features. He has driven production-scale projects at Salesforce—spanning webscale RL data synthesis, diffusion language models (CoDA-1.7B), and latent reasoning optimization (LaTRO)—and now applies that expertise to early-stage product research at actAVA.ai. Comfortable straddling deep theory and engineering, he blends applied math rigor from UC Davis with hands-on data science experience at Outreach. Colleagues describe him as the kind of researcher who turns algorithmic ideas into deployed capabilities across both model and data pipelines.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy, Applied Mathematics, Doctor of Philosophy, Applied Mathematics at University of California, Davis
Bachelor of Science (BS), Physics & Applied Mathematics, Bachelor of Science (BS), Physics & Applied Mathematics at Nankai University
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Haolin Chen - Founding Research Scientist at actAVA.ai