Research

I’m generally interested in applied machine learning. My work tries to understand AI and its capabilities and use that to improve them and push their limits in various cross-domain problems.

I also research in policy, specifically in statistical analysis to inform them. I am particularly interested in refugees, migration, and immigration.

For conducting research, I’m grateful to be supported by Google Research, Modal, Cohere, and OpenRouter. For my work, I’m a fellow at Cerebras Systems and a technical fellow at the Harvard AI Student Safety Team.

I’ve also served as a reviewer for the 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025 and as an events volunteer at DeepLearning.AI.


Externalization and Mortality on Mediterranean Migration Routes for People of African Descent
Aarush Gupta
For the 37th session of the United Nations Working Group of Experts on People of African Descent, 2025
On the Employment and Budget Consequences of Delayed Work Authorization for U.S. Asylum Seekers
Aarush Gupta
Under Review, 2025
Signed-Order Fixed Points with Boundary-Aware Communication in Multi-Agent Networks
Aarush Gupta
Under Review, 2025
Languages are Modalities: Cross-Lingual Alignment via Encoder Injection
Rajan Agarwal*, Aarush Gupta*
Preprint (arXiv), 2025
Self-Supervised Embeddings and Physics-Informed Detection for Rare Exoplanetary Events
Aarush Gupta
247th Meeting of the American Astronomical Society, 2025
Evaluating Spatial Reasoning in Language Models
Aarush Gupta
NeurIPS 2025 5th Workshop on Mathematical Reasoning and AI, 2025
Biologically Plausible Neural Networks for Simulating Brain Dynamics
Aarush Gupta
California State Science and Engineering Fair in Computational Biology, 2024