Biography

I am a recent Ph.D. graduate in Biomedical Engineering (2026) from Yale University, advised by Dustin Scheinost, and am also the first Black woman to complete her Ph.D. training at the Yale School of Medicine’s Magnetic Resonance Research Center, founded in 1986. My scholarship, advocacy, and outreach has received several honors during my time at Yale, including the Quad Fellowship, representing the United States twice as a Senior Quad Fellow at the White House, a 2025 Yale Center for Clinical Investigation Predoctoral Scholar, an AIM-AHEAD & NCATS (Cohort 3) Trainee, an Edward Bouchet Graduate Honor Society Inductee, and a Stories of Ethics, Engagement, and Dialogue in Science Case Study Writer.

My academic research background is in quantitative neuroimaging, and my dissertation focused on applying novel and existing computational and statistical methods to analyze brain images acquired using functional magnetic resonance imaging (fMRI). From these data, I sought to identify brain patterns that were associated with symptoms of severe mental illness, such as schizophrenia and bipolar disorder. I also developed a novel heuristic framework for understanding these changes, which has since gained recognition in the wider literature.

My current scholarship and research aims to bridge the humanities and the sciences to pioneer research infrastructures that more directly address societal and local community challenges. Through this work, I am committed to making scientific evidence and ideas more accessible and properly contextualized so their interpretations can be applied more precisely and responsibly. This requires being attuned to how a given paradigm shapes the interpretation and understandings of findings within a given scientific discipline. I address these concerns by exploring the ethical and normative consequences of methodological choice in data-driven contexts, recognizing that even the most quantitative disciplines, which have a high degree of presumed objectivity, are not immune to sociocultural influences that can complicate well-intentioned works. As an extension of these interests, I am also dedicated to translating my research findings to audiences outside academia and science through narrative-driven participatory experiences and media (mainly essays, fiction, and film).

Research & Creative Interests

Selected Academic Projects

Connectome-based predictive modeling of early and chronic psychosis symptoms

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This study directly compared the neural correlates of chronic and early psychosis symptoms using connectome-based predictive modeling (CPM) and resting-state functional magnetic resonance imaging. Publication can be accessed here.

This article was also featured on the journal cover of Neuropsychopharmacology (third panel image) and received a research highlight from the journal and news coverage from the Yale School of Medicine!

Brain States as Wave-Like Motifs

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A novel heuristic for understanding dynamic brain changes. Publication can be accessed here and see associated coverage by the Yale School of Medicine here!

Towards integrative brain imaging: Introducing a multitudinal strategy

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Strategic framework for integrating insights the neuroimaging field has produced over the years to improve our understandings of the relationship between brain structure, function, and behavior (see preprint here).

Project is in progress.

A mega-analysis of low frequency resting-state measures in mood and psychosis-spectrum disorders

This project analyzes and compares spectral features between mood and psychotic-spectrum disorders in comparisons to healthy controls. (see preprint here).

Project is in progress.

Selected Non-Academic Projects

Selected Writings

Outreach and Other Collaborative Efforts