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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

Data science as a catalyst for scientific discovery

Michelle Gill (BenevolentAI)
9:50am–10:05am Friday, August 24, 2018
Location: Grand Ballroom
Average rating: *****
(5.00, 3 ratings)

Modern scientific research is evolving quickly and requires an increasingly interdisciplinary purview. Keeping pace requires harnessing every tool available to the modern researcher. Michelle Gill explains how data science methodologies and tools can be used to link information from different scientific fields and accelerate discovery in a variety of areas, including the biological sciences.

Photo of Michelle Gill

Michelle Gill


Michelle Gill is a senior data scientist at BenevolentAI, where she uses artificial intelligence to facilitate pharmaceutical discovery. Previously, Michelle was a deep learning consultant within NVIDIA’s Professional Services Group and a scientist at the National Cancer Institute, where she developed parallelized software utilizing machine learning and compressed sensing algorithms. As a postdoctoral research fellow at Columbia University Medical School, she studied the biological activity of cancer-associated enzymes. She holds a PhD in molecular biophysics and biochemistry from Yale University.