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mouse577/README.md

Hi there 👋

Computational Neuroscience | Machine Learning | Computer Vision

I am a scientist and machine learning practitioner working at the intersection of neuroscience, AI/ML, computer vision, and quantitative data analysis. My work focuses on developing computational approaches for extracting meaningful information from complex biological and behavioral datasets.

My projects include deep-learning-based behavioral tracking, electrophysiology and neural waveform analysis, reinforcement learning, scientific image analysis, and research database/tool development.

Featured Projects

Python tools for DeepLabCut model training, video analysis, tracking-quality review, and quantitative mouse eye and pupil measurements. The repository includes example output plots.

Jupyter notebooks for waveform analysis, PCA, k-means and hierarchical clustering, method comparison, and cluster characterization. This repository also contains other neuroscience and data-science explorations.

A focused notebook for importing, inspecting, visualizing, and cleaning waveform data before downstream analysis.

MATLAB scripts for spike-waveform analysis and other neuroscience workflows, including CSD, GluSnFR, pERG, and VEP analyses.

MATLAB and Python workflows for waveform attributes, k-means and Ward hierarchical clustering, PCA visualization, and per-cluster waveform plots. Includes example figures and a results deck.

Jupyter notebooks for PCA, clustering-method comparison, cluster characterization, and other neuroscience data analyses.

A focused Jupyter workflow for importing, inspecting, visualizing, and cleaning waveform data before analysis.

PyTorch and notebook-based experiments in vision-based reinforcement learning.

Python GUI and SQLite tools for managing research data.

Technical Skills

Machine Learning & AI PyTorch · scikit-learn · DeepLabCut · reinforcement learning · clustering · dimensionality reduction

Scientific Computing & Data Science Python · NumPy · pandas · SciPy · MATLAB · Jupyter · statistical analysis · data visualization

Computer Vision & Image Analysis Deep learning · pose estimation · biological image analysis · video analysis

Software & Data Engineering Git · GitHub · SQL · SQLite · scientific workflow development

Research Interests

  • Computational neuroscience
  • Machine learning for biological data
  • Computer vision and scientific imaging
  • Neural and behavioral data analysis
  • AI-assisted scientific discovery

Selected Work

Explore the pinned repositories below for project documentation, code, analysis workflows, and example results.

Pinned Loading

  1. deeplabcut-okr-eye-tracking deeplabcut-okr-eye-tracking Public

    deepLabCut-based computer vision pipeline for mouse eye tracking and optokinetic response (OKR) analysis.

    Python 1

  2. AI_projects AI_projects Public

    Atari Breakout reinforcement learning with DQN and QR-DQN, training evaluation, and TensorBoard analysis.

    Jupyter Notebook 1

  3. Data_Science_Tasks Data_Science_Tasks Public

    Jupyter notebooks for neuroscience data analysis, waveform clustering, retinal images, and scientific ML.

    Jupyter Notebook 1

  4. MATLAB_neuropixels_clustering MATLAB_neuropixels_clustering Public

    MATLAB 1

  5. SpiderMouse SpiderMouse Public

    C++ data structure linking laboratory mice, experiments, and research projects, with an interactive app and tests.

    C++ 1

  6. Web_development_project Web_development_project Public

    Taskagotchi team project: React/TypeScript productivity app with a Flask/PostgreSQL backend and tests.

    TypeScript 1