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  • Ludwig Maximilian University of Munich

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bshashikadze/README.md

👋 Hi, I'm Bachuki Shashikadze

  • 🔬 PhD in Quantitative Biosciences (LMU Munich) — I turn mass spectrometry-based proteomics, metabolomics & lipidomics data into computational pipelines and statistical models
  • 💻 Building data engineering & data science workflows for omics and scientific data (Python, statistical learning, pipeline/infra design)
  • 🌱 Currently deepening agentic AI / LLM tooling (LangGraph) to accelerate scientific decision-making
  • 📫 Reach me: bachuki.shashikadze@gmail.com

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  1. scrna-pipeline scrna-pipeline Public

    Single-cell RNA-seq pipeline for diabetic kidney disease, built with Python and R/Seurat in a Snakemake workflow. Reproduces a published proximal tubule injury signature from public patient biopsy …

    Jupyter Notebook

  2. dockerized-ml-shiny-aws dockerized-ml-shiny-aws Public

    A containerized ML web app for drug discovery — an XGBoost model wrapped in a Shiny front end, packaged with Docker, and deployed to AWS (ECR + EC2) as well as a local Kubernetes cluster. Demonstra…

    R

  3. maternaldiabetes-offspring-liver-omics-paper maternaldiabetes-offspring-liver-omics-paper Public

    Reproducibility repo for Shashikadze et al. "Maternal hyperglycemia induces alterations in hepatic amino acid, glucose and lipid metabolism of neonatal offspring: Multi-omics insights from a diabet…

    Markdown 1 1

  4. chem-biology-ai chem-biology-ai Public

    crbn-binding-ml — An end-to-end ML pipeline benchmarking a gradient-boosted ensemble (XGBoost) against a deep neural network regressor for predicting binding affinity from molecular data. Feature e…

    Jupyter Notebook

  5. diabetes-lung-omics-paper diabetes-lung-omics-paper Public

    Reproducibility repo for Shashikadze et al. "Multi-omics profiling of lungs from genetically diabetic pigs reveals reduced ALOX15 levels and impaired eicosanoid switching as mechanisms contributing…

    Markdown

  6. ml-scratch ml-scratch Public

    Classical machine learning methods implemented from scratch in Python, with a focus on high-dimensional low-sample-size regimes encountered in proteomics.

    Jupyter Notebook