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Beijing Institute of Technology
Data Scientist
June 29, 2026 – Present
GraphMaster
February 6, 2025 – December 16, 2025
Code for NeurIPS 2025' Spotlight: Graphmaster: Automated graph synthesis via llm agents in data-limited environments
View ProjectAwesome-GNN-in-LLMs-Papers
November 25, 2024 – November 27, 2024
Awesome-GNN-in-LLMs-Papers — GitHub repository
View ProjectOpenFGL
March 30, 2024 – September 1, 2024
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning
View ProjectSGL
February 24, 2022 – May 10, 2024
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic research and personal projects, primarily in graph learning and GNNs. While this demonstrates deep technical expertise in a niche area, the lack of diverse project types (e.g., industry applications, team-based product development) and a single, current academic role suggests a potential narrowness in experience for broader industry roles. The target role of 'Data Scientist' is broad, and while graph-based data science is a component, the candidate's profile might indicate a stronger fit for research-oriented data science roles rather than generalist positions requiring diverse domain exposure or product development experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.