Anushri Arora

I’m a 3rd-year PhD candidate in Computer Science at Princeton University working with Jonthan Pillow. My work focuses on interpretability methods for machine learning, and my interests span dynamical systems, control theory, and probabilistic inference. Specifically, I develop theory-driven methods for learning and controlling nonlinear dynamical systems that underlie neural computation. My current work focuses on building real-time frameworks for uncertainty-guided data collection and developing flexible control algorithms for efficient learning in non-stationary multi-task regimes.

Research interests: dynamical systems, probabilistic inference, control theory, reinforcement learning

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News:

• Dec 2025: I will be presenting my first PhD paper at NeurIPS 2025! Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
Anushri Arora, Jonathan Pillow