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JiamingPan/README.md

Jiaming Pan

PhD candidate at University of Michigan, working on LLM compression, scientific ML, and dark energy / modified gravity (theory + data analysis).

Current focus

  • Weight sensitivity analysis and post-training quantization diagnostics @ Escha Labs
  • Diffusion models for cosmological simulation data
  • Scalable GPU/HPC experiment pipelines

Tech Python · PyTorch · JAX · HuggingFace Transformers · Slurm · NumPy/SciPy

Always happy to talk about LLM compression, quantized weight statistics, or the nature of dark energy.

Pinned Loading

  1. llm-quant-experiments llm-quant-experiments Public

    Python

  2. diffusion-models-simulation-data diffusion-models-simulation-data Public

    Jupyter Notebook

  3. posttrain-quant-serve posttrain-quant-serve Public

    FSDP fine-tuning, quantization, and vLLM serving study

    Jupyter Notebook

  4. BAO-Analysis BAO-Analysis Public

    This is the code for the paper Compressed baryon acoustic oscillation analysis is robust to modified-gravity models (under review on JCAP)

    Python

  5. leetcode-python-cheatsheet leetcode-python-cheatsheet Public

    A pattern-based Python cheat sheet for LeetCode interview preparation.

  6. yctao7/CosmoInfer_GNN yctao7/CosmoInfer_GNN Public

    Python 3