Ariane Ducellier

Ariane Ducellier

Research scientist

Ariane Ducellier

I am interested in statistical analysis and time series forecasting, and more broadly data science using complex data across space and time.

Currently, I am developing mathematical and statistical methods and codes for population health statistical surveys at the Institute for Health Metrics and Evaluation (IHME).

Previously, I was working on forecasting housing market indicators at Zillow.

Before that, I worked on low-frequency seismic data and numerical inversion of earthquake models at University of Washington and the French Geological Survey (BRGM).

News

  • November 2024: The version 0.1.0 of the new raking package is now available on PyPI.

  • Fall 2024: I am teaching a course on Data Visualization with R in the Department of Statistics at University of Washington.

  • August 2024: I presented my work on the uncertainty quantification of survey calibration at the Joint Statistical Meetings (JSM) in Portland, Oregon, USA.

  • May 2024: I received a travel award from the American Statistical Association to attend the 2024 Joint Statistical Meetings (JSM) in Portland, Oregon, USA.

  • March 2024. I was awarded a University of Washington Data Science Postdoctoral Fellowship from the eScience Institute.

  • Fall 2023: I have taught a course on Data Visualization with R in the Department of Statistics at University of Washington.

  • July 2023: I have participated in the Causal Inference with Observational Data program of the Summer Institute in Statistics for Clinical & Epidemiological Research (SISCER).

  • August 2022: My research paper “Detection of slow slip events using wavelet analysis of GNSS recordings”, co-authored with Kenneth Creager and David Schmidt, was published in Bulletin of the Seismological Society of America.

  • July 13th 2022: I presented my work on “Long-range dependence in low-frequency earthquake catalogs” at SIAM Conference on Mathematics of Planet Earth (slides).

  • June 8th 2022: I presented my work on “Long-range dependence in low-frequency earthquake catalogs” at the American Statistical Association Symposium on Data Science and Statistics in Pittsburgh, PA, USA (abstract and poster).

  • May 20th 2022: I presented my work on “Long-range dependence in earthquake occurrence rates” at the SIAM Pacific Northwest Biennal Meeting in Vancouver, WA, USA (slides).

  • April 22nd 2022: I presented my work on “Statistical analysis of low-frequency earthquake catalogs” at the SSA Annual Meeting in Bellevue, WA, USA (slides).

  • April 2022: My research paper “An eight-year-long low-frequency earthquake catalog for Southern Cascadia”, co-authored with Kenneth Creager, was published in Journal of Geophysical Research: Solid Earth.

  • January 28th 2022: I defended my PhD thesis on “Slow earthquakes: Tremor, low-frequency earthquakes and slow slip events” in the Department of Earth and Space Sciences at University of Washington.

  • January 2022: My research paper “Depth and thickness of tectonic tremor in the northeastern Olympic Peninsula”, co-authored with Kenneth Creager, was published in Journal of Geophysical Research: Solid Earth.

  • December 2021: I graduated with a Master of Science from the Department of Statistics at University of Washington.