Computational Astrophysics

Development of numerical tools for astrophysics research; gravitational N-body integration; smoothed-particle hydrodynamics; deployment on high-performance computing infrastructures; large-scale data analysis.

Orbital Dynamics

Simulation and analysis of planetary systems and their orbital dynamics; late-stage planet formation with N-body simulations; secular evolution and apsidal behavior of known multi-planet systems.

Physics-Guided Machine Learning

Development of physics-aware machine learning algorithms; physical constraint and conservation law encoding; model interpretability; emulation.

Planet & Satellite Formation

The origin and evolution of terrestrial planetary systems; formation of Earth-like planets and their satellites; pairwise collision modeling for N-body simulations; formation of the Moon through a giant impact.

Anomaly Detection

Detection of suspicious events in financial datasets; digital forensics for text-based datasets; anomaly detection with natural language processing (NLP) and semantic analysis.

Data Science

Large-scale data analysis; time-series analysis; seasonality detection and modeling; statistics; classification; clustering; dataset meta-analysis; feature engineering and selection.

Recent Events


AMLD 2021 "AI/ML in Science"

Physics / Machine Learning

Machine Learning in Science: Encoding physical constraints and good development practices...

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ESA ACT Science Coffee

Astrophysics / Machine Learning

Machine Learning in Planet Formation: Predicting the outcome of giant impacts...

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PhD Defense

Machine Learning / Planet Formation

Studying planet formation with artificially intelligent N-body simulations...

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AMLD 2020 "AI & Space"

Artificial Intelligence / Space

How is AI/ML being applied in the space sciences?

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