• Developed a plugin for python image viewer Napari to connect scientists with image segmentation models. Scientists could open a 3d brain scan and use the plugin to remotely execute the desired model.• Full stack project with front end plugin connected to an AWS cloud-deployed flask app. App connected the local plugin to an AWS lambda function (for remote model execution), AWS S3 bucket, and AWS dynamodb table • Developed a script for Scientists to upload new models. This connected to the same flask app and communicated with the dynamodb and the plugin.

• Improved MEPA by identifying gaps through comparisons with NEPA and other individual state counterparts.• Aggregated energy use intensity data for stationary sources, creating interface to estimate greenhouse gas

• Aggregated data on sulfate deposition, a measurement of acid rain, in India, China and the Middle East from over 200 published papers confirming results of a model predicting acid rain (under Dr. A.R. Ravishankara, Ph.D.).• Coauthored paper on predicting Trifluoroacetic (TFA) deposition from HFO through 2040