Design of Scalable Systems for Analysis of Lupus and Pharmaceutical Datasets

• 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

Development of Scalable, Big Data Computational Tools for Neoepitope Detection in Cancer

• 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