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  • Berlin, Germany

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ZijunLee/README.md

Hi, I'm Zijun Li

Applied mathematician and ML scientist (PhD, Humboldt-Universität zu Berlin), based in Berlin.

I work on model selection and optimization for ML-driven decisions, and on careful evaluation, from multi-objective hyperparameter tuning to LLM agents that verify their own evidence.

Selected work

Tools: Python · PyTorch · scikit-learn · XGBoost · pandas

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  1. agentic-research-assistant agentic-research-assistant Public

    An agentic research assistant for evidence-grounded scientific QA and energy analysis.

    Python

  2. Algorithm-Switching-for-Multiobjective-Predictions Algorithm-Switching-for-Multiobjective-Predictions Public

    Hybrid Bayesian optimization + direct search (MADS) for multi-objective ML model selection; code for the LION 2024 paper.

    Python

  3. MBO_Networks MBO_Networks Public

    MMBO: scalable graph clustering by modularity optimisation with MBO schemes and Nyström approximation; code for the Eur. J. Appl. Math. paper.

    Python