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Qasim Lab

What makes memories sticky?

We study the mental computations that encode, strengthen, and retrieve memories — and how those processes fail in memory loss and mental health disorders.

Artwork inspired by neural activity and memory

Questions

What drives our science

Three questions that orient every project in the lab.

How do memories stick?

We probe the mental computations that encode and strengthen lasting memories...

Why do some memories fade?

...so we can understand why memories sometime fade in aging and dementia...

How can memory go awry?

...and so we can understand why memories sometimes go awry in mental health disorders.

Affiliations

Where we sit

The Qasim Lab is based at Rutgers Robert Wood Johnson Medical School and connected across campus.

Publications

Recent publications

Selected papers from the lab.

People

Meet the lab

Researchers studying memory persistence and mental health at Rutgers.

Photo of Salman E. Qasim, Ph.D.

Salman E. Qasim, Ph.D.

PI

Assistant Professor of Neurosurgery at Rutgers Robert Wood Johnson Medical School and Core Faculty at the Rutgers Brain Health Institute. PhD in Biomedical Engineering from Columbia University; postdoctoral training in Computational Psychiatry at the Icahn School of Medicine at Mt. Sinai. His research unearths the unique features of human neural computations that enable high-level cognitive functions.

salman.qasim@rutgers.edu
Photo of Lauren Carrillo

Lauren Carrillo

Master's Student

Master's Candidate in the Department of Biomedical Engineering at Rutgers University. B.S. in Electrical and Computer Engineering from the University of Washington. Her research interests include understanding and developing methods for neuromodulation of pathological neural activity, with an emphasis on epilepsy and neurotechnology.

Photo of Zain Soomro

Zain Soomro

Undergraduate

Undergraduate student at Rutgers University pursuing a B.S. in Computer Science. His research interests lie at the intersection of machine learning, neuroscience, and medicine, with a focus on applying computational methods to better understand neural activity. At the Qasim Lab, he is working on developing automated pipelines to detect and classify high-frequency oscillations in intracranial EEG recordings.

Join the lab

We are always looking for curious, motivated researchers to join our team. Explore open positions and learn how to apply.