Kristel Izquierdo
Physics and Astronomy · Purdue University West Lafayette
Publications
25
Citations
71
Est. group size
~1
Recurring co-author estimate
Active years
11
Publishing since 2016
Kristel Izquierdo's research focuses on studying the interiors of planetary bodies, such as the Moon and Mars, using gravity data and climate modeling. A key methodological contribution is applying Bayesian statistical inference (a probabilistic approach to estimating unknown quantities from data) to infer density anomalies—regions of unusually high or low mass—inside celestial bodies. More recent work also touches on applying artificial intelligence in educational and community development contexts.
Publication output has been relatively steady but modest over the last decade, rising to a peak around 2022 before tapering off in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Teaching with Artificial Intelligence in Rural Communities for Microenterprise Development
AHFE international · 2025
- An Object‐Oriented Bayesian Gravity Inversion Scheme for Inferring Density Anomalies in Planetary Interiors
Earth and Space Science · 2023
- Ensembles of climate model parameters of Mars and significance values
Zenodo (CERN European Organization for Nuclear Research) · 2023
- Ensembles of climate model parameters of Mars and significance values
Zenodo (CERN European Organization for Nuclear Research) · 2023
- theboogieCodeAndData
Zenodo (CERN European Organization for Nuclear Research) · 2022
- Output climate model parameters reported in Izquierdo et al., (2022)
Zenodo (CERN European Organization for Nuclear Research) · 2022
- Output climate model parameters reported in Izquierdo et al., (2022)
Zenodo (CERN European Organization for Nuclear Research) · 2022
- theboogieCodeAndData
Zenodo (CERN European Organization for Nuclear Research) · 2022
- theboogieCodeAndData
Zenodo (CERN European Organization for Nuclear Research) · 2022
- Inferences of the lunar interior from a probabilistic gravity inversion approach
2020
- Views of the Interior of the Moon from a Probabilistic Gravity Inversion Approach
Lunar and Planetary Science Conference · 2020
- Lunar Density Anomalies From a Flexible Gravity Inversion Approach
AGU Fall Meeting Abstracts · 2020
- A Bayesian approach to infer interior mass anomalies from the gravity data of celestial bodies
Geophysical Journal International · 2019
- Constraining Density Anomalies in the Interior of Planetary Bodies from Gravity Data Using Bayesian Inference and Voronoi Cells
LPI · 2019
- Using Bayesian Inference to Constrain Density Anomalies Inside Celestial Bodies from Gravity Data
AGU Fall Meeting Abstracts · 2018
- Zenodo (CERN European Organization for Nuclear Research)×7
- AGU Fall Meeting Abstracts×5
- Journal of Geophysical Research Planets×2
- Geophysical Research Letters×1
- Geophysical Journal International×1
- Bradley Garczynski
Physics and Astronomy · Purdue University West Lafayette
- Clément Royer
Physics and Astronomy · Purdue University West Lafayette
- A. M. Bramson
Physics and Astronomy · Purdue University West Lafayette
- B. Horgan
Physics and Astronomy · Purdue University West Lafayette
- James Haber
Physics and Astronomy · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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