Ashley is a Principal Consultant in Data Management and Data Science in Equinor’s Exploration and Production International unit. Her expertise is in subsurface data engineering, Agile project leadership, and in developing automated data operations to enable ML geoscience workflows. She also spends her time on subsurface data visualization in Python, mentoring and developing data science competence for geoscientists, and helping to create open source Python projects and learning content for the subsurface.
Ashley received her Master’s in Geology from the University of Wisconsin-Madison, in the United States, in 2012. She worked for Schlumberger previously before joining Equinor in 2015 and has worked both the Gulf of Mexico while based in Houston, and on data globally from her current position in Stavanger, Norway.
In what parts of Geoscience and Engineering will ML make the biggest impact?
Is ML a fad or here to stay?
How can geoscience and engineering departments at Universities cope with the emerging ML trend?
Would the job market prefer an ML geoscience (engineering) degree (BS., MS., or even PhD.)?
What is next for ML in illuminating the Earth?
Moderator : Claire Birnie (KAUST)