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Nicole Taverna's expertise centers around bridging the gaps between geoscience and data science, including machine learning, interactive data visualization, data pipeline development, subsurface characterization, statistical methods and analyses, and managing public-facing data products. Her experience lies primarily in geothermal energy, but she has worked on projects pertaining to a variety of renewable energy technologies.

Research Interests

Machine learning and statistical methods

Geothermal energy

Subsurface characterization

Geoscience

Open data

Software development

Education/Academic Qualification

Master, Data Science, Colorado School of Mines

Bachelor, Geophysics with a minor in Computer Science, Colorado School of Mines

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Collaborations and Top Research Areas From the Past 5 Years

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