Reduced latency of Spark computations, implemented in Scala, by ~25%Evaluating and implementing algorithms for dimensionality reduction of large (~ 300,000 x 7 million),sparse, binary matricesCurrently optimizing word embeddings to improve search results for customer search engines

Applying deep learning techniques, in particular CNNs and ResNets, to detection and classification of strong gravitational lenses. Evaluating the effects of different convolutional filters on our ability to identify strong gravitational lensing using a ResNet.

Studying the relationship between insurgent strategies in Colombia and Afghanistan and drug prices.

• Building an influence modeling application using Gremlin-Python, Neo4J and CosmosDB Graph databases.• Applying Microsoft Azure’s face recognition API to images taken from proprietary databases• Dealt with ingest and processing of over 20,000 images

§ Working with proprietary machine learning models (both self-developed and through Azure Studio) andnetwork analysis to develop a recommendation system for medical researchers§ Developing clustering algorithms for medical text documents and mixed numeric and categorical data

My duties included producing marketing campaign briefs, conducting market and demographic research, and learning web design.

Building and testing components for the South Pole Telescope (SPT).

Testing the effects of the drug Forskolin on ischemia-reperfusion injury. Duties included: performing microsurgery on hamsters, running and preparing Western blots, and data collection and analysis.