Julia Santaniello

What I work on

My research sits at the intersection of machine learning, robotics, and cognitive science. At Tufts, I study how passive brain signals can support implicit human-in-the-loop reinforcement learning.

Advised by Dr. Jivko Sinapov and Dr. Robert Jacob, I develop RL frameworks that align agent behavior with user goals and expectations through brain-computer interfaces (BCI).

Recent projects

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  Offline NEURO-LOOP

  Brain signals for human-in-the-loop RL from an offline dataset.

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  Mapping fNIRS to Agent Performance

  Towards reinforcement learning from neural feedback.

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  SpheroHunter

  Tracking under occlusion in maze environments.

In progress

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  NEURO-LOOP coming soon

  Multimodal biosignals for human-in-the-loop RL in real time.