Home

• Applied and Computational Mathematics

• Dynamical Systems

• Bayesian Inverse Problems and Data Assimilation

• Uncertainty Quantification

• Scientific Machine Learning

• Geophysical Modeling

2026:

April: Preprint out on Bayesian Calibration of dynamic models of earthquake sequences using observations from past large earthquakes. 

March: I gave a talk at SIAM UQ in Minneapolis on addressing some of the challenges in earthquake forecasting and uncertainty quantification.

Jan: Our paper on Data Assimilation in ROM of Chaotic Earthquake Cycles has been published in GJI. 

2025: 

July: Preprint out on Data Assimilation in ROM of Chaotic Earthquake Cycles.

July: I will be organizing a GMG Deep Dive on “AI, Optimization, and Control with Applications to Subsurface Geophysics,” bringing together researchers to explore cutting-edge methods in data-driven modeling, inverse problems, and computational techniques for geophysical systems.

June: I will be attending the IMSI workshop “Statistical and Computational Challenges in Probabilistic Scientific Machine Learning” in Chicago, 2025

May: I will present my research on reduced-order modeling (ROM) of multiscale earthquake sequences at the 2025 SIAM Conference on Applications of Dynamical Systems in Denver

2024:

Dec: I am convening the T018 session at AGU24, focusing on physics-based earthquake forecasting, bringing together experts in dynamical models, laboratory experiments, induced seismicity, and geophysical observations.

Dec: I presented my poster at AGU24 on a method to find the ROM of the earthquake cycle using machine learning.

Nov: Our paper is published in GJI. Predicting large events in a chaotic sequence of slow slip events using concepts in the dynamical system theory.

July: I participated in the DAS workshop held at Caltech at the GMG center.

June: Submit your abstract to our AGU24 session on physics-based earthquake forecasting.  Click here to see details.

March: New Preprint out on spatiotemporal forecasting of extreme events in chaotic earthquake cycles.

2023:

Dec: Our Paper is published in SRL. Induced seismicity forecasting with uncertainty quantification: Application to the Groningen gas field.

Dec: I am presenting my work on the spatiotemporal forecast of

 large events in a chaotic sequence of earthquake cycles at AGU 2023.

Oct: Our Paper is published in GRL. Earthquake nucleation unraveled by the seasonality of seismicity.

Sep: I am presenting my poster on the Predictability of Extreme events in a dynamical model of earthquake cycles.

June: Another preprint is out. I am a co-author of a research led by Mateo Acosta. 

June: My first preprint of my PhD project is out! Uncertainty Quantification in induced seismicity forecasting.

2022: 

Sep, Dec: I presented my work at AGU 2022 on induced seismicity forecasting with uncertainty quantification.

Sep: I am participating in SCEC 2022.

2021: 

Sep: I joined Caltech as a graduate student.