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@STokajian-Microbial-Genomics-Lab

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raysas/readme.md

i like coding and i like biology. i also like math :)

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Im a Computational Bioloy student at Université Paris-Saclay, France.
I have a B.Sc. in Bioinformatics from Lebanese American University, Lebanon.

  • I love math drawings and graph structures
  • I like learning new things and making notes
  • Trying to learn nextflow and julia
  • Building computational packages, models & pipelines for biological data (NGS mainly)

Computational topics:
mathematical modelling, network science, dynamical systems, statistical/machine learning, deep learning, graph convolutions

Bioinformatics interests:
systems bioloy, omics data integration, gene regulatory network inference, single-cell and spatial transcriptomics, epigenomics and neurogenomics

Technical expertise:
Python coding, Bash pipelines, R data analysis

PostgreSQL Nextflow Docker cloud Python R LaTeX Bash Conda Jupyter Git Mathematica
PyTorch Ubuntu TensorFlow Linux BioPython Scikit-Learn SymPy NumPy Pandas Tidyverse Plotly

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  1. neural-nets-library Public

    Forked from deeplearning-oop/2425-m1geniomhe-group-1

    ANN python library implementation from scratch using object-oriented programming principles

    Python 1

  2. GLM-from-scratch Public

    a generalized linear models python library implementation from scratch

    R

  3. ML-from-scratch Public

    a machine learning python library implementation from scratch

    Jupyter Notebook

  4. simple-HMM-toy Public

    Hidden Markov Model implemented from scratch for the 5′ splice-site recognition problem

    Python

  5. data-mining-gene-expression Public

    Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data

    R

  6. capstone-project Public

    Inverstigating a pangenome-scale gene interactions network model - BSc capstone project (data, scripts and notes)

    Jupyter Notebook

1,122 contributions in the last year

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Loading A graph representing raysas's contributions from March 31, 2024 to April 02, 2025. The contributions are 100% commits, 0% pull requests, 0% issues, 0% code review.

Contribution activity

April 2025

19 contributions in private repositories Apr 1 – Apr 2
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