Presentations

Invited Talks

Distributed acoustic sensing (DAS) and big scientific data analysis [virtual]

• Distributed Acoustic Sensing Virtual Workshop and Tutorial, IRIS, Aug 2020. [ workshop website ] [ video ( + captions) ] [ slides ]

Event detection in big sensor data: Applications in earthquake seismology and beyond [virtual]

• Life on Planet Earth: Above and Below Workshop, Mathematical Biosciences Institute, Ohio State University, Columbus, OH, Aug 2020. [ workshop website ] [ video ]

Big data for small earthquakes: Computational challenges in large-scale earthquake detection

• Data Science Institute and Department of Computer & Information Sciences, University of Delaware, Newark, DE, March 2020. [virtual]

• Faculty of Computing & Data Science, Boston University, Boston, MA, March 2020. [virtual]

• Department of Electrical & Computer Engineering, University of California, Santa Barbara, CA, March 2020.

• Department of Earth, Ocean & Atmospheric Sciences, University of British Columbia, Vancouver, Canada, March 2020.

• Data Science Initiative and Department of Earth, Environmental & Planetary Sciences, Brown University, Providence, RI, Feb 2020.

• Department of Geophysics, Colorado School of Mines, Golden, CO, Feb 2020.

• Oden Institute for Computational Sciences & Engineering and Department of Statistics and Data Science, University of Texas at Austin, TX, Feb 2020.

• Department of Computational Mathematics, Science & Engineering, Michigan State University, East Lansing, MI, Feb 2020.

Machine learning for data-driven discovery in solid Earth geoscience.

• National Academies Committee on Seismology and Geodynamics Fall Meeting, Washington, DC, Oct 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, Nov 2019. [ news release ]

• Department of Geosciences, Princeton University, Princeton, NJ, Nov 2019.

• UTIG Seminar, Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, TX, Sept 2019. [ video ] [ slides ]

Data mining for earthquake detection: Lessons for data-driven geoscience.

• Machine Learning in Solid Earth Geoscience Conference, Santa Fe, NM, March 2019. [ conference website ]

Shaking up seismology: Improving earthquake detection capabilities with locality-sensitive hashing.

• "Machine Learning Ideas" Lunch, Microsoft Research New England, Cambridge, MA, March 2019.

Machine Learning in Seismology: Using AI to Improve Earthquake Monitoring.

• Congressional briefing (with Z. Ross), hosted by the Seismological Society of America, Washington D.C. Feb 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. Dec 2018. [ workshop website ]

Improving earthquake detection with data mining and machine learning.

• IRIS Workshop: Foundations, Frontiers & Future Facilities for Seismology, Albuquerque, NM, June 2018. [ workshop website ] [ abstract ] [ slides ]

Big data for small earthquakes: a data mining approach to large-scale earthquake detection.

• Department of Applied Mathematics, University of Washington, Seattle, WA, April 2019.

• Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, Feb 2019.

• Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, Oct 2018.

• FISH Seminar, Earth Resources Laboratory, MIT, Cambridge, MA, Sept 2018. [ video ]

• Data Science and Cyber Analytics Group, Sandia National Laboratory, Livermore, CA, Feb 2018.

Scalable Similarity Search for Earthquake Detection.

• Institute of Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, Jan 2018.

Data Mining for Microseismic Event Detection.

• Society of Exploration Geophysics Annual Meeting, Workshop on Data Analytics for Geoscience, Houston, TX, Sept 2017.

FAST: Earthquake Detection using Computationally Efficient Similarity Search.

• Department of Earth and Planetary Sciences, University of Tokyo, Japan, Oct 2016.

• Earthquake Science Seminar (with C. Yoon), US Geological Survey, Menlo Park, CA, Aug 2015. [ video ]

Conference Presentations and Posters

Towards robust, reliable earthquake detection with deep neural networks (iPoster / talk)

• JpGu-AGU Meeting, Chiba, Japan, July 2020. [virtual]

How robust is deep learning-based earthquake detection? Insights from adversarial machine learning. (Talk)

• American Geophysical Union Fall Meeting, San Francisco, CA Dec 2019.

Short Courses and workshops as a path into data science. (Talk)

• American Geophysical Union Fall Meeting, Washington, D.C., Dec 2018. [ link ]

FAST: a data mining approach to large-scale earthquake detection. (Poster)

• Harvard Data Science Initiative Conference, Cambridge, MA, Oct 2019.

• Women in Data Science Conference, Cambridge, MA, Jan 2019.

• American Geophysical Union Fall Meeting, Washington, D.C., Dec 2018. [ link ]

Extending FAST to detect over a seismic network. (Poster)

• Machine Learning in Solid Earth Geoscience, Santa Fe, NM, Feb 2018.

Automatic Earthquake Detection by Active Learning. (Poster)

• American Geophysical Union Fall Meeting, New Orleans, LA, Dec 2017. [ link ]

On the Use of Machine Learning for Seismic Event Detection. (Talk)

• Seismological Society of America Annual Meeting, Denver, CO, April 2017. [ link ] [ student presentation award ]

Data Mining for Microseismic Event Detection. (Talk)

• Society of Exploration Geophysics Annual Meeting, Workshop on Data Analytics for Geoscience, Houston, TX , Sept 2017.

Earthquake Fingerprints: Representing Earthquake Waveforms for Similarity-Based Detection. (Poster)

• American Geophysical Union Fall Meeting, San Francisco, CA, Dec 2016. [ link ]

Scalable Similarity Search: A New Approach for Large-Scale Earthquake Detection. (Talk, Poster)

• International Conference on Similarity Search and Applications, Tokyo, Japan, Oct 2016. [ link ]

Data Mining for Earthquake Detection using Computationally Efficient Search for Similar Seismic Signals. (Talk)

• Seismological Society of America Annual Meeting, Reno, NV, April 2016. [ link ] [ slidecast ] [ student presentation award ]

Unsupervised Approaches for Post-Processing in Computationally Efficient Waveform-Similarity-Based Detection. (Poster)

• American Geophysical Union Fall Meeting, San Francisco, CA, Dec 2015. [ link ] [ student paper award ]

Fingerprint and Similarity Thresholding for Computationally Efficient Earthquake Detection. (Poster)

• Southern California Earthquake Center Annual Meeting, Palm Springs, CA, Sept 2015.

Conference Tutorials

• Machine Learning for Seismology Workshop, Seismological Society of America Annual Meeting, Seattle, WA, April 2019. [ workshop website ] [ slides ]

• Unsupervised Learning for Geoscience Applications, Machine Learning in Solid Earth Geoscience Conference, Santa Fe, NM, March 2019. [ conference website ] [ slides ]

• Introduction to Machine Learning Workshop, SIAM Geosciences Conference, Stanford University, June 2015. [ conference website ] [ workshop website ]

Panels

• Harvard FAS Office of Postdoctoral Affairs, Tales from the Battlefront: Q&A Among Survivors and Casualties of the Academic Job Search, June 2020.

• Women in Data Science @ Stanford Earth Workshop, Stanford University, CA, Nov 2019.

• National Academies Committee on Seismology and Geodynamics Fall Meeting, Washington, D.C., Oct 2019.

• Machine Learning in Solid Earth Geoscience Conference, Santa Fe, NM, Mar 2019.

• Society of Exploration Geophysics Annual Meeting, Workshop on Data Analytics for Geoscience, Houston, TX, Sept 2017.