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  • Wesleyan University

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kmiliu/README.md

Keming Liu

Undergraduate researcher · Wesleyan University

I study biological systems through computational models and data analysis. My interests span neural dynamics, animal behavior, and protein structure, drawing on computational biology, machine learning, and neuroscience.

Personal website

Selected work

Neural spike-train analysis

Exploring neural activity around behavioral events through raster plots, PSTHs, and event-alignment analysis in MATLAB.

Mutation sensitivity in Boolean networks

Investigating how changes to individual node rules reshape long-term network dynamics through reproducible Python simulations.

Respiratory sound classification

Examining classification with acoustic features and numeric metadata using Keras CNN–BiGRU models, with an emphasis on evaluation under class imbalance.

Currently

  • Modeling p53 mutations
  • Exploring explainable AI for creativity assessment
  • Serving as a course assistant for deep learning and LLMs

Pinned Loading

  1. spike-train-analysis spike-train-analysis Public

    MATLAB workflow for event-aligned spike trains: raster plots, PSTHs, exploratory event-code ranking, and descriptive comparisons.

    MATLAB

  2. kauffman-boolean-network kauffman-boolean-network Public

    Seeded simulations of mutation sensitivity and attractor changes in random Boolean networks, with reproducible analysis and explicit statistical assumptions.

    Jupyter Notebook

  3. Cough-Classification-CRNN-Model Cough-Classification-CRNN-Model Public

    Exploratory respiratory-sound classification with Keras CNN–BiGRU models, verified historical results, and documented evaluation limitations.

    Python 1