I am an Assistant Professor of Data Science and Earth, Environmental & Planetary Sciences and Assistant Professor of Computer Science at Brown University.
My research interest is in scientific machine learning (SciML). My past work has focused on machine learning for pattern recognition and discovery in large, noisy sensor data sets, with applications in earthquake seismology and biodefense.
I did my postdoctoral training at Harvard University as a Data Science Initiative Postdoctoral Fellow in Computer Science. I earned my Ph.D (and M.S.) in Computational and Mathematical Engineering at Stanford University, where I was advised by Greg Beroza, Professor of Geophysics. I am an alumna of Brown University, where I earned a B.Sc. in Applied Mathematics. I have also worked as a data scientist at MIT-Lincoln Laboratory.
I am also passionate about data science education and diversity and inclusion in data science. I have taught a number of courses and workshops that aim to make data science accessible to students and professionals from a range of disciplinary backgrounds.
Thanks for visiting!
Karianne
News
April 2022: Review paper Big Data Seismology, lead by Stephen Arrowsmith, accepted for publication in Reviews of Geophysics.
April 2022: SciML Ph.D. student Peter Van Katwyk has been awarded the NSF Graduate Research Fellowship in Geosciences - Artificial Intelligence. Congratulations Peter!
Jan 2022: TWIML AI podcast interview: Machine Learning for Earthquake Seismology with Karianne Bergen [episode page] [watch on YouTube]
Sept 2021: The SciML Group at Brown welcomes its first Ph.D. student, Peter Van Katwyk.
Feb 25, 2021: Quoted in Eos article A Promising Forecast for Predictive Science.
Jan 1, 2021: I'm starting a new position as an Assistant Professor of Data Science and Earth, Environmental & Planetary Sciences at Brown University!
Sept 8, 2020: News from Brown: Brown welcomes talented group of 59 new faculty members
Upcoming Events
August 2022: Earthquake Science Seminar, USGS.
April 2022: ML tutorial at SSA Annual Meeting in Bellevue, WA
April 2022: AI for Earth and Space Science Worksop at ICLR
Recent Events
March 2022: Seminars at University of Montana and University of Oslo.
Dec 2021: Invited panelist, AI for Science: Mind the Gaps Workshop at NeurIPS.
Dec 2021: AGU Fall Meeting (virtual) talk: Explainable AI (XAI) for Seismology: An interpretable convolutional neural network for earthquake detection [a recording of this talk is available by request]
Nov 2021: Keynote talk at Brazilian Seismology Symposium, part of the International Congress of the Brazilian Geophysical Society [virtual]
Oct/Nov 2021: Seminars at MIT [in-person!], University of Utah, and Cornell University.
More details on the Presentations page