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REBELABS/README.md

REBELABS

Independent research and scientific software initiative led by Dr. I.A. Akanni

REBELABS focuses on energy, fluid mechanics, computational methods, applied physics, reproducible scientific software and physics education and outreach.

Lead researcher

  • Dr. I.A. Akanni
  • Physicist | Lecturer | Researcher | Data Science & Analysis

Current research focus

  • Bayesian and statistical modelling for fluid mechanics
  • aeromagnetic and radiometric analysis for health and environmental safety
  • reproducible computational workflows for experimental data
  • open-source scientific software for distribution-level comparison

Selected public work

  • chunked-ed — memory-aware Energy Distance package
  • influential-points — Python script for influential point detection using Cook’s Distance and leverage cutoffs

Ongoing private projects

Several research and software projects are currently private, while related papers, analyses, and tools are being prepared for publication.

Connect

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  1. Regression-Influential-Points-Identification-Python Regression-Influential-Points-Identification-Python Public

    Python Script for Influential Points Detection using Cook’s Distance & Leverage Cutoff

    Python

  2. chunked-ed chunked-ed Public

    This package was developed to make Energy Distance estimation more memory-efficient by computing pairwise distances in blocks rather than all at once.

    Python