Tempus is a technology company that is building the world's largest library of molecularand clinical data and an operating system to make that data accessible and useful. Tempus provides genomic sequencing and analytic services to empower physicians to make real-time, data-driven decisions. Our goal is for each patient to benefit from the treatment of others who came before by providing physicians with tools that learn as we gather more data. For more information, visit tempus.com

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At Northwestern, I studied EECS with a focus in Machine Learning & Natural Language Processing. At a high level, I studied Neural Network Language Modeling. My work focused on modeling polysemous word embeddings -- that is, learning one vector per meaning of each word as opposed to conflating all meanings of each word together.

Developed algorithms to maintain consistency between three inventory databases. These databases tracked GE jet engine parts through various supply chain stages.Automated dozens of data collection and data entry tasks.Initial internship (January to May) was extended twice (August, then December).