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marievang/README.md

Header

Hello, I'm Maria, welcome to my profile!

I am a Bioinformatician and Applied Mathematician specializing in the intersection of Mathematics, Biology and Programming. My work focuses on leveraging mathematical modeling and computational intelligence to unlock secrets from biological data and complex omics layers.

  • 🔭 Current Focus: Applying architectures to analyze Ancient DNA patterns.

  • 🌱 Learning: Deepening my expertise in Machine Learning for omics analysis.

  • 📫 Connect: LinkedIn | Email

🔬 Research Focus & Expertise

Biological Domains

  • 🧬 Ancient DNA (aDNA): Population genetics, evolutionary analysis, and dealing with DNA degradation.
  • 🔬 Omics & NGS: Experience in processing and interpreting multi-omics data (Genomics, Transcriptomics).
  • 🧬 Evolutionary Biology: Using computational tools to trace ancestral lineages.

The Computational & Math Lens

  • 🤖 Machine Learning: Predictive modeling, clustering, and dimensionality reduction for biological datasets.
  • 📐 Applied Math: Stochastic Processes, ODEs, and Statistical Inference.
  • 📊 Data Science: Data visualization and robust statistical pipelines in R, Python and Bash.

🛠 Tech Stack & Tools

Core Languages & ML

Bioinformatics & Pipelines

📊 GitHub Analytics

⚡ Beyond the Lab (Fun Facts)

  • 🧩 I enjoy bridging abstract mathematical concepts with biological data.
  • 🏃‍♀️ I'm a fan of [Running/Hiking/Crochet/Music].
  • 📚 Reading about science and be curious about new novelties

Popular repositories Loading

  1. Phylogenomics-BUSCO-Analysis Phylogenomics-BUSCO-Analysis Public

    A phylogenomics workflow for processing BUSCO sequences, inferring gene trees, and reconstructing species trees using wASTRAL.

    Shell 1

  2. thesis_bachelor thesis_bachelor Public

    Benchmarking across diferrent demographic scenarios ADMIXTURE and qpAdm software

    Python

  3. formula-1 formula-1 Public

    Formula 1 Project : machine learning pipeline to predict F1 Race Winners and Podium finishes using historical telemetry, driver error rates, and qualifying data.

    Python 1

  4. ML_exercises ML_exercises Public

    Python

  5. KmerAligner KmerAligner Public

    Python

  6. marievang marievang Public

    My Github Readme page