TWIML Podcast (Jan 20, 2022) Machine Learning for Earthquake Seismology with Karianne Bergen
From Polar Ice to Rising Seas: Advancing Climate Science with Machine Learning.
Exploring System Dynamics in the Natural World with AI Conference, University of Oslo, Norway (2024). [YouTube]
Machine learning in Geosciences: Earthquakes, Ice, and XAI.
Machine Learning for data-driven discovery in geosciences: progress and opportunities.
National Academies Committee on Solid Earth Geophysics Fall Meeting (2023^^) [website] [recording]; Arizona State University, Tempe, AZ (2023^^); Boston University (2023 - cancelled).
Big data for small earthquakes: data mining, deep learning, and explainable AI
USGS Earthquake Science Seminar (2022^^); University of Montana, Missoula, MT (2022^^); University of Oslo, Norway (2022^^); Cornell University, Ithaca, NY (2021^^); University of Utah, Salt Lake City, UT (2021^^); MIT, Cambridge, MA (2021).
Earthquake monitoring, Deep learning and Explainable AI
NSF AI Institute for Data-Driven Discovery in Physics Seminar, Carnegie Mellon University (2022^^)
Explainable AI for Seismology: An interpretable convolutional neural network for earthquake detection
GNEM Seminar, Sandia National Laboratory (2023^^); Symposium on Artificial Intelligence and Earthquake Engineering, EERI San Diego Chapter (2022^^); Brazilian Seismology Symposium, International Congress of the Brazilian Geophysical Society (2021^^).
Big Data Analysis in Geoscience
International Symposium: Frontier of Understanding Earth’s Interior and Dynamics, Tohoku University, Sendai, Japan (2022^^).
Machine Learning in Seismology: A Fireside Chat
Plenary panel with Qingkai Kong and Daniel Trugman, moderated by Bill Walter. Seismological Society of America Annual Meeting (2021^^). [recording]
Advancing solid Earth geoscience with machine learning
Geological Society of Washington, Washington, D.C. (2021^^) [ announcement ]. Winner: 2021 Sleeping Bear Award for good humor at meetings.
Distributed acoustic sensing (DAS) and big scientific data analysis
Distributed Acoustic Sensing Virtual Workshop and Tutorial, IRIS (2020^^). [ workshop website ] [ video ( + captions) ] [ slides ]
Event detection in big sensor data: Applications in earthquake seismology and beyond
Life on Planet Earth: Above and Below Workshop, Mathematical Biosciences Institute, Ohio State University, Columbus, OH (2020^^). [ workshop website ] [ video ]
Big data for small earthquakes: Computational challenges in large-scale earthquake detection
University of Delaware, Newark, DE (2020^^); Boston University, Boston, MA (2020^^); University of California, Santa Barbara, CA (2020); University of British Columbia, Vancouver, Canada (2020); Brown University, Providence, RI (2020); Colorado School of Mines, Golden, CO (2020); University of Texas at Austin, TX (2020); Michigan State University, East Lansing, MI (2020).
Machine learning for data-driven discovery in solid Earth geoscience.
National Academies Committee on Seismology and Geodynamics Fall Meeting. Washington, DC (2019). [ meeting website ] [ video ]
Earthquake monitoring in the age of “big data:” Challenges and opportunities.
Women in Data Science @ Stanford Earth workshop, Stanford University, CA, (2019) [ news release ]; Princeton University, Princeton, NJ (2019); University of Texas at Austin, TX (2019) [ video ] [ slides ].
Data mining for earthquake detection: Lessons for data-driven geoscience.
Machine Learning in Solid Earth Geoscience Conference, Santa Fe, NM (2019). [ conference website ]
Machine Learning in Seismology: Using AI to Improve Earthquake Monitoring.
Congressional briefing (with Zach Ross), hosted by the Seismological Society of America, Washington D.C. (2019). [ SSA Policy Events ] [ abstract ]
Towards data-driven earthquake detection: Extracting weak seismic signals with locality-sensitive hashing.
Conference on Neural Information Processing Systems, Workshop on Machine Learning for Geophysical & Geochemical Signals, Montreal, Canada (2018). [ workshop website ]
Improving earthquake detection with data mining and machine learning.
IRIS Workshop: Foundations, Frontiers & Future Facilities for Seismology, Albuquerque, NM (2018). [ workshop website ] [ abstract ] [ slides ]
Big data for small earthquakes: a data mining approach to large-scale earthquake detection.
University of Washington, Seattle, WA (2019); Columbia University, Palisades, NY (2019); Brown University, Providence, RI (2018); Sandia National Laboratory, Livermore, CA, (2018); MIT, Cambridge, MA (2018). [ recording ]
FAST: Earthquake Detection using Computationally Efficient Similarity Search.
Earthquake Science Seminar (with Clara Yoon), US Geological Survey, Menlo Park, CA (2015). [ recording ]
^^ indicates virtual talk
Machine Learning for Seismology Workshop, Seismological Society of America Annual Meeting, Seattle, WA (2019). [ workshop website ] [ slides ]
Unsupervised Learning for Geoscience Applications, Machine Learning in Solid Earth Geoscience Conference, Santa Fe, NM (2019). [ conference website ] [ slides ]
Introduction to Machine Learning Workshop, SIAM Geosciences Conference, Stanford University (2015). [ conference website ] [ workshop website ]
Harvard FAS Office of Postdoctoral Affairs, Tales from the Battlefront: Q&A Among Survivors and Casualties of the Academic Job Search (2020^^).