AI Principal Engineer at Huawei Paris Research Center
Boulogne-Billancourt, Ile-de-France
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Summary
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Rockstar
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Top School
Keli Zhang is a Principal AI Engineer at Huawei Paris Research Center with a five-year focused career in causal inference and its application to trustworthy machine learning. She leads contributions to the Causal Discovery Toolbox (gCastle) and has integrated causal discovery methods into Huawei's TrustworthyAI projects, evidencing practical open-source impact. Her research centers on building a causal foundation model — a "causal world model" — to imbue large language models with counterfactual reasoning and more reliable, explainable outputs. With a Master’s in Computer Science from Huazhong University of Science and Technology and nearly a decade at Huawei in AI roles, she blends deep research with production-oriented engineering. Keli is actively seeking collaborators interested in the intersection of causality and LLMs, bringing both algorithmic depth and hands-on integration experience.
5 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at 华中科技大学
Contributions:1 release, 124 commits, 41 PRs in 1 year 8 months
Contributions summary:Keli's commits primarily focused on integrating the Gcastle library, likely for causal discovery tasks, into the 'trustworthyai' project. This integration involved adding the necessary files and dependencies for the 'gran_dag' algorithm. Additionally, the user modified a description related to TTPM. These changes suggest a focus on utilizing and potentially extending existing causal inference methods within the repository.
Contributions:15 commits, 11 pushes, 1 branch in 1 year 1 month
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