Developed an automated, scalable system that improved bandwidth and latency for pathway and gene analysis using Python and Python libraries.

Developed algorithms automating analysis and visualization of immunotherapeutic efficacy of anticancer agent using Python.

Technologies: Python, Scipy, Numpy, Pandas, Matplotlib, GSEA

Developed an automated neoepitope identification system using Python that increased capabilities, throughput, and latency by 10x with novel functionality and leveraging APIs.

Developed an automated gene fusion detection system using Python and Ruby that identified at least 2 constitutively active gene fusions in vivo by implementing novel metrics and annotation mappings.

Technologies: Python, Scipy, Numpy, Pandas, Matplotlib, Ruby, Tophat, Ensembl VEP API, IEDB API