Developed a deep learning application in TensorFlow to classify and locate visual evidence of pneumonia from chest X-rays using convolutional neural networks.Assisted fellow scientists and engineers with data infrastructure, product management, and application development and deployment.

Reduced time to ingest, transform, warehouse, and deploy data, from weeks to hours, as a core Java contributor to Zephyr's data retrieval, data integration, categorization, entity disambiguation, and scoring systems.Further improved refresh times from hours to seconds as a key contributor to Zephyr's migration from monolithic pipeline services to Spring Kafka microservice equivalents.Collaborated with product managers and implementation teams, in an Agile environment.

Completed a four-month, $200000+ professional services project as lead data engineer and analyst for a top-15 global pharmaceutical company launching a new product into a new market.Trained machine learning models on publication, clinical trial, insurance, and other data to forecast early product adoption, segment markets, and identify key opinion leaders, for commercial pharma teams.Architected and implemented Zephyr's first standardized data science ETL framework to develop and deploy data analytic models in R with significantly less effort and greater reproducibility.Built a core data product by leading a master data management and record linkage algorithms development effort to identify and link healthcare and life science entities from hundreds of disparate data sources.

Consulted for multiple psychiatry studies on data acquisition, study design, and statistics, leading to publication.Engineered ETL pipelines, with R, python and bash scripting, for preparing and analyzing imaging, spectroscopic and other bioinformatic data.Developed an in-house R package to identify important predictors of pediatric autism from 3D neuroimaging data.Designed and implemented data munging and analysis workflows to streamline administration of, and evaluate, online cancer genetics education for deaf individuals.