Our Research

We study artificial intelligence to save human intelligence and understand consciousness. Our research spans neuroscience-inspired AI, clinical imaging, healthcare NLP, and scalable ML infrastructure.

Understanding Consciousness through Deep Learning

Understanding Consciousness through Deep Learning

We use deep learning as a lens to study consciousness — applying computational models to understand perception, attention, and the neural basis of awareness.

One shot Perceptual Learning through disambiguation
One shot Perceptual Learning through disambiguation
Meta Learning
Meta Learning
Making AI models more brain-like.
Making AI models more brain-like.
Superhuman Ability on Clinical Imaging

Superhuman Ability on Clinical Imaging

We build AI systems that match or exceed expert clinicians on medical imaging tasks — from intraoperative brain tumor diagnosis to automated EEG analysis and cranial surveillance.

Rapid Intraoperative Brain Tumor Diagnosis
Rapid Intraoperative Brain Tumor Diagnosis
Automated deep-neural-network surveillance of cranial images for acute neurologic events
Automated deep-neural-network surveillance of cranial images for acute neurologic events
Deep Learning on EEG for early detection of seizures
Deep Learning on EEG for early detection of seizures
Machine Learning Operations, Architecture, and Big Data at NYU Langone

Machine Learning Operations, Architecture, and Big Data at NYU Langone

We design scalable ML infrastructure and data pipelines to support AI research and deployment across NYU Langone's clinical and research environments.

Large Language Models in Health Care

Large Language Models in Health Care

We study how large language models can be applied to clinical documentation, decision support, and medical knowledge synthesis to improve healthcare delivery.