Building a webapp that discovers/annotates rare mutations in cancer patients and provides an interactive UI for oncologists to track patients and discover appropriate treatments.

As the solo developer for a lab trying to cure spinal cord injury, I designed and developed multiple bioinformatics piplines and web tools that provide novel insights in genetic and epigenetic regulation behind axon growth.

• Developed bioinformatics pipelines that discovered novel transcription factor combinations regulating axon growth.
• Created a web tool that allows scientists to visualize ATAC-Seq, RNA-seq and Histone Chip-Seq datasets across different time points in development of mice.
• Developed a website that visualizes and quantifies supra spinal neurons with projections to the cervical, thoracic and lumbar segments.

Developed a tool for the Rat Genome database that provides a unique way to seamlessly visualize and perform set operations on lists of genes.

• Developed web-based tools using the Flask framework, that automate and simplify the Bioinformatics workflow of Molecular Diagnostics Lab
• Human clinical genomics - Monitored NGS workflow, develop variant calling and variant annotation pipelines
• Designed and created an interactive web tool VIRAS, that provides a graphical view to analyze nucleotide mismatches between patients 10.1016/j.bbmt.2018.12.006
• Developed data visualization tools using d3.js to help investigators analyze NGS workflow and patient report data

Developed custom shell scripts that automate RNA-Seq, and ChIP-Seq workflows

Designed & developed SNPredict, a tool that predicts rare somatic variants using multiple machine learning training algorithms like kNN & LinearSVC

Lead production support duties. Designed, coded and maintained Bash shell scripts to automate tasks for checking and updating status of AT&T servers.