Computational Biologist passionate about exploring science through the lens of data and algorithms.
- Graduate Student at Carnegie Mellon University, pursuing a Master's in Computational Biology.
- Interested in bioinformatics, genomics, systems biology, molecular dynamic simulations
- Skilled in Go, Python, R
- Focused on analyzing and modelling using large-scale biological datasets, such as single-cell RNA-seq, Hi-C, and other omics data.
- Programming Languages: Go, Python, R, Bash, MATLAB
- Bioinformatics Tools: SnapHiC, Scanpy, Seurat
- Cheminformatics Tools: Desmond, GROMACS, AutoDock
- Data Visualization: Matplotlib, Seaborn, ggplot2, PowerBI
- Version Control: Git, GitHub
- Operating Systems: Linux, macOS
- LinkedIn: Shivank Sadasivan