| NGS Data Analysis: | scRNA-seq, trajectory analysis, cell-cell communication, Spatial transcriptomics, bulk RNA-seq, WGS/WES, long read WGS (Pacbio), Multi-omics, ChIP-Seq, Proteomics, DNA methylation, GWAS, All Of Us database analysis. |
| Programming Languages: | R, Python, Java, Bash, Javascript. |
| Data Visualization: | R Shiny, ggplot2, plotly, VitessceR, TensorFlow, JQuery, CodeIgniter. |
| Cloud & HPC: | Distributed computing, AWS. |
| Data Science: | Supervised & Unsupervised Learning (classification, regression, clustering, Neural Networks). |
| Integrated Development Environment (IDE): | Rstudio, Visual Studio Code, Eclipse. |
| Databases: | MySql, Oracle. |
| Version Control Tools: | Git, Subversion. |