• Used R, python and Spark to analyze large medical device datasets using machine learning methods.• Developed data pipelines for the transformation and reporting of iPhone app collected data using AWS.• Designed, analyzed and created reports for clinical trials related to our cardiovascular device portfolio using R and SAS for regulatory submissions.• Developed methods to produce clinical evidence without conducting a classic clinical trial by leveraging data science methods and electronic medical records.

• Developed web apps for the visualization and analysis of gait asymmetry datasets using R and Shiny.• Developed a gene panel for the clinical testing of peripheral neuropathy caused by chemotherapy in cancer patients.• Designed and analyzed experiments for genomic sequencing studies using R and Java.

• Developed software for the visualization of large geophysical time series datasets in Java.• Constructed statistical methods for the automatic identification of special events of interest in large geophysical time series datasets.