I am a mathematical physicist and data scientist specializing in predictive modeling, statistical learning, and biomarker discovery in high-dimensional biological and genomics data. My work focuses on develop-ing reproducible machine learning frameworks for biomarker detection, model evaluation, and data-driven analysis in biomedical research. I transform complex real-world systems into quantitative models and build scalable analytical pipelines using statistical modeling, machine learning, and computational methods.
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probabilistic-linear-regression
probabilistic-linear-regression PublicImplementation and analysis of linear regression using a multivariate Gaussian framework, including joint distributions, conditional predictions, and interpretation of model results.
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Single-Cell-RNA-SequencingAnalysisScanpy
Single-Cell-RNA-SequencingAnalysisScanpy PublicJupyter Notebook
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spatial-annotation-xenium-codex-Tutorial
spatial-annotation-xenium-codex-Tutorial PublicTutorial: manual cell-type annotation of spatial omics (Xenium, CODEX), verified per cell with a Gaussian KDE.
Jupyter Notebook
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