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surakshavinod/README.md

Hi there! 👋

I'm Suraksha Vinod, a Masters student in Bioinformatics at Georgia Institute of Technology (Georgia Tech), Atlanta. I'm passionate about applying computational approaches to answer biological questions, which is why I am pursuing a degree in Bioinformatics. My research interests are varied and include precision medicine and predictive health (personalized medicine), cancer biology, ML in biology, human genetics and genomics, neurodegenerative disorders, functional genomics, and disease omics. My interest in cancer and neurodegenerative disorders is strongly driven from a familial connection.

I'm applying for a PhD!

🔍 To further my passion to make meaningful contributions to and advance the fields of Bioinformatics and Computational Biology, particularly personalized medicine and cancer biology, I'm applying for a PhD!

Skills

Computational:

Programming: Python, R, SQL**, MATLAB**, Nextflow**, Snakemake*, JavaScript (D3.js) / HTML*

Bioinformatics: DESeq2, BLAST, Galaxy, AlphaFold, AutoDock Vina, Desmond, GSEA, PLINK, VCF/BCF Tools, Admixture, Annovar, SwissADME, OpenBabel, LigPlot+, CellDesigner, ChemDraw

Libraries/Other: Git, Bash (Linux), HPC, Docker*, AWS*, NumPy, Pandas, scikit-learn, Matplotlib, dplyr, tidyr, Seurat, ggplot2, survival, survminer, TCGAbiolinks, seaborn, shiny, conda/miniconda, Jupyter Notebook, OpenRefine, Python Flask, Tableau*, Microsoft Azure Machine Learning, API **Intermediate ; *Beginner

Experimental:

Cell Culture, Biochemical Assays, Inhibition Assays, PCR, Titration

Research and Project Expertise

  • Admixture
  • Polgenic (Risk) Scores
  • Single Cell Analysis
  • NGS Data Analysis
  • Genome Wide Association Studies
  • Variant Annotation and Interpretation
  • Computational Genomics
  • QC
  • Biostatistics
  • Pipeline Analysis and Development
  • Bioinformatics Tools, Databases, Software & Analysis
  • Bioinformatics File Formats
  • Genomics & Genetics
  • Molecular Docking and Dynamics Simulation

Get in Touch

Email: [email protected]

Let's connect on LinkedIn.

Looking forward to discussing ideas, collaborating on projects, or simply chatting about biotech and innovation! 😊

Pinned Loading

  1. CityScout CityScout Public

    Tool designed to help users identify safe cities based on specific demographic factors and crime statistics.

    Jupyter Notebook

  2. Find-Homologs Find-Homologs Public

    Finding homologs against a nucleotide subject given a protein sequence query.

    Shell

  3. Model-Comparison-for-Absorption-Profile-Prediction Model-Comparison-for-Absorption-Profile-Prediction Public

    Built machine learning models to predict absorption profile properties such as human plasma protein binding rate (PPBR), bioavailability (BIO) and parallel artificial membrane permeability assay (P…

    Jupyter Notebook

  4. QC-and-Assembly-using-Nextflow QC-and-Assembly-using-Nextflow Public

    Perform QC and Assembly operations using nextflow.

    Nextflow

  5. Alzheimer-Disease-Classifier Alzheimer-Disease-Classifier Public

    Classify fMRI data of AD and MCI patients as well as controls using machine learning models.

    Jupyter Notebook