Our Science

We develop & apply advanced computational methods to improve neuroimaging analysis & enhance our understanding of human brain function.


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We are based in the McLean Imaging Center at McLean Hospital & the Department of Psychiatry at Harvard Medical School.



neuroimaging
Neuroimaging Statistics

Advancing neuroimaging statistical techniques to study brain structure and function, integrating fMRI, PET, and advanced computational models.

computation
Computational Methods

Developing machine learning and statistical techniques to analyze complex neuroimaging datasets, uncovering meaningful patterns in brain function and their implications for neuropsychiatric health and disease.

data
Big Data in Neuroscience

Leveraging large-scale datasets like HCP and ADNI to understand individual variability and brain-behavior relationships.

biopsych
Psychiatric Neuroimaging of Addiction

Using advanced neuroimaging techniques to investigate the neural mechanisms underlying substance use and addiction, with a focus on brain connectivity, cognitive function, and treatment response.

science
Open Science & Reproducibility

Promoting transparency through open-source tools, data sharing, and reproducible workflows in neuroimaging research.

mentor
Mentorship & Collaboration

Fostering an inclusive, diverse, and supportive research environment for trainees and interdisciplinary collaborations.

Lab Values

Accessibility, Diversity, Equity, Inclusion, & Belonging

At the ANSR Lab, we believe that scientific discovery flourishes when all voices are heard, and we actively work to break down barriers that have historically excluded underrepresented groups in STEM. Our lab is a space where collaboration, respect, and belonging are the foundation of both our research and mentorship.

Through thoughtful mentorship, open science practices, and equitable research opportunities, we aim to contribute to a scientific community that reflects and serves the diversity of the world around us. We welcome scholars of all backgrounds and strive to ensure that our work promotes knowledge that is accessible, transparent, and impactful for all.