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  • Université Paris Cité
  • Paris
  • 09:22 (UTC +02:00)

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@Inserm1266-Psychiatry-Omics
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zhukovanadezhda/README.md

Hi 👋🏻, I'm Nadya 👩🏻‍🦰

I am a bioinformatics student at Université Paris Cité 🎓🔬 &
a bioinformatician at the Institute of Psychiatry and Neurosciences of Paris 🧠🧬

I am mostly interested in statistics, machine learning and deep learning, computational psychiatry, and mental health in general as well as NGS data analysis. Apart from work, I like traveling, film photography, and doing sports. I speak English, French, and Russian. Feel free to contact me for any reason.

📫 How to reach me: nadiajuckova@gmail.com 📫

Connect with me:

nadezhdazhukova nadezhdazhukova nadiyazhukova


Profile Details Repos Per Language Most Commit Language


🖥️ Projects 💡

Bioinformatics Statistics
Title Language
Bioinformatics software analysis language
Smith-Waterman alignment tool language
Dinucleotide frequencies in model organisms language
Pangenome graph clustering language
Rosalind problems solutions language
Title Language
HIV protease study language
Exam results study language
World happiness study language
Books study language
Other
Title Language
Scizophrenia WGS study language
Psy-NER model language
Web API for a neural network model language
E-commerce database modelisation language
Housing prices prediction language

Pinned

  1. bioinformatics-software bioinformatics-software Public

    👨‍💻🧬 Trends in Bioinformatics Software Development 💻📈

    Jupyter Notebook 2 1

  2. psy-ner psy-ner Public

    🧠💬 Enhance mental health research with a custom Named Entity Recognition model ❤️💊

    Jupyter Notebook 3

  3. dinucleo-freq dinucleo-freq Public

    📊🧬 Dinucleotide frequencies in the genome of model organisms 🐁🦠

    Jupyter Notebook

  4. ecommerce-database ecommerce-database Public

    🛍️💻 Online store database modeling 🗄️🔍

    SQL

  5. smith-waterman smith-waterman Public

    🧬🔍 Smith-Waterman pairwise sequences alignment ✍️🔡

    C

  6. web-api web-api Public

    HTTP Web API without a graphical interface to access a pretrained neural network model

    Python