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Postdoctoral Scientist
Yale• June 2018 - June 2019
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
Graduate Student
Yale• May 2014 - May 2018
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 REST 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
Education
Yale University, New Haven
Computational Biology & Bioinformatics, PhD• September 2012 - May 2018
University of Pennsylvania, Philadelphia
Biomedical Engineering, BSE• August 2005 - May 2009
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