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Chrisdoan9/README.md

👋 Hi there, I’m Chris Doan

I am a bioinformatician with background as a pharmacist, passionate about analyzing omics data, applying machine learning, and building reproducible pipelines. My long-term goal is to contribute to research that helps slow down aging and understand the molecular mechanisms of age-related diseases. I enjoy reading research papers on molecular biology.

During my time at Stanford University, I analyzed diverse range of omics data including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq for rare cardiovascular and aging related diseases.
At Boston University, I worked at on Alzheimer’s disease research. My projects involve:

  • Pathway analysis and modeling using GSVA, fgsea, and linear regression (manuscripts in preparation)
  • Cell cell interaction analysis (manuscripts in preparation)
  • Spatial transcriptomics analysis using Visium and MERFISH data

I have two first-author manuscripts in preparation. One identifies protective pathways in APOE2 carriers and disease-driving pathways in APOE4 carriers, offering insight into why some people resist Alzheimer’s while others are at higher risk. The other uncovers cell-cell communication changes in Alzhimer's disease and cognitive resilience.

Languages & Tools

R

Python

Bash

Biconductor

RShiny

Visual Studio Code

MySQL

Git

GitHub

Jupyter


R | Python | Bash | Bioconductor | RShiny | Visual Studio Code | MySQL | Git | GitHub | Jupyter Notebook

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  1. Hidden-Markov-model Hidden-Markov-model Public

    Learn to use hidden Markov model

    Python

  2. Multiome Multiome Public

    scRNA-seq + scATAC-seq

    R

  3. scRNA-seq scRNA-seq Public

    single cell analysis, compare diseased vs healthy sample

    1

  4. scATAC-Seq scATAC-Seq Public

    Single cell ATAC seq analysis

  5. scRNA-Seq-Nature-paper scRNA-Seq-Nature-paper Public

    single cell analysis

    1

  6. stroke-prediction-web-app stroke-prediction-web-app Public

    Stroke prediction web app