Oversaw, advised, and executed data science & engineering projects in the pharma and biotech domain from client proposal to delivery.Optimized local & distributed ETL pipelines resulting in significant (up to 75X) reduction in computation time.Converted ETL pipelines from from proof-of-concept to productionized deployments.Evaluated & designed knowledge graph architectures tailored to client applications.Advised, designed, and implemented data models based on client needs.

Design and build analytics tools that reveal inefficiencies in the internal software build & test process.Construct web-based and static data visualizations for both ongoing & ad-hoc analyses.Implement, automate, & maintain extract-transform-load (ETL) pipelines in support of production applications.Provide consultative support to various internal infrastructure teams facing data analysis challenges.Communicate findings to advise key decision makers and the company at large.

Designed, constructed, and validated novel bioreactors & control software for keeping human lungs alive ex vivo 3x longer than previously reported.Developed data analysis pipelines in Python for evaluating bioreactor & organ function based on logs containing several million multi-dimensional data points.Applied supervised machine learning algorithms to efficiently quantify in vivo immunological response to various biomaterials based on thousands of samples.Prepared data visualizations & manuscripts for scientific journals, grant proposals, & national conferences.

Fabricated and characterized micromolded polyacrylamide hydrogel substrates as a platform for studying cell mechanics.Analyzed and quantified endothelial cell behavior in response to simultaneous mechanical and topographical cues.www.cellmechanics.org

Created a collagen microthread-based co-culture system for studying chemical and physical interactions between endothelial cells and fibroblasts on an interdisciplinary team of five students.Optimized and implemented customized substrate micropatterning protocols using self-assembled monolayer chemistry for the analysis of mesenchymal stem cell morphologic behavior.