Jiahao Chen is the Director of AI/ML at New York City’s Office of Technology & Innovation, leading implementation of the city’s AI Action Plan and shaping responsible AI use in local government. With 16 years of experience spanning industry, startups, and academia, he combines hands-on ML engineering, startup founding, and executive AI governance from roles at JPMorgan, Capital One, and his consultancy Responsible AI LLC. He remains active in research—published in top venues—and serves as Ethics Chair at NeurIPS and Area Chair for ACM FAccT, bridging rigorous scholarship with policy and practice. His technical roots trace to scientific computing and chemistry (PhD in Chemical Physics), contributing to core open-source projects including the Julia language and libraries used for numerical and statistical computing. Known for pragmatic risk-aware deployments, he also brings uncommon depth in numerical methods and open-source backend contributions that inform robust ML systems. Based in New York, he advises startups while running city-scale AI initiatives that prioritize transparency and accountability.
16 years of coding experience
19 years of employment as a software developer
Ph.D. Chemical Physics (with Computational Science and Engineering option), Ph.D. Chemical Physics (with Computational Science and Engineering option) at University of Illinois Urbana-Champaign
GCE 'A' Levels Chemistry Physics Mathematics C Further Mathematics, GCE 'A' Levels Chemistry Physics Mathematics C Further Mathematics at Raffles Junior College
Contributions:166 commits, 42 PRs, 51 pushes in 3 years 7 months
Contributions summary:Jiahao primarily focused on updating and maintaining the benchmark data and its presentation within the Julia project's website. Their work included modifying benchmark tables, reordering language representations, and updating versions of the programming languages used in the benchmarks. The user also contributed to the plot visualization, adding a plotting script, and updating related files like the notebook, ensuring the benchmarks' accuracy and visual representation. This shows an effort to keep the website's core content (performance comparisons) up-to-date and accurate.
Contributions:814 commits, 140 PRs, 247 pushes in 4 years 5 months
Contributions summary:Jiahao primarily contributed to the Julia programming language's core functionality by fixing bugs and improving documentation. Contributions included correcting warnings in the profile buffer and the examples/lru.jl file, addressing formatting issues in the documentation, and adding/modifying methods for triangular matrices, sparse matrices, and eigenvalues. The user also worked on cleaning up comments and adding code for Unicode handling and tab completion features in the language.
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Jiahao Chen - Director Of AI ML at Responsible AI LLC