Our Research
Our lab investigates the biological, psychological, and social mechanisms that shape the experience of pain and its disparities. By combining neuroimaging, large-scale data science, and innovative measurement approaches, we aim to uncover the pathways underlying pain, improve its assessment, and inform more effective and equitable treatments.
Neuroimaging and Mechanisms of Pain
We use advanced imaging methods, including PET and ultra-high-field 7T fMRI, to map the brain circuits underlying pain perception, learning, and prediction. By linking neural activity to expectations, controllability, and stress systems, our work uncovers the biological pathways that shape how pain is experienced and maintained.
Leveraging large-scale international datasets with millions of participants, we investigate how pain varies across the lifespan and across diverse populations. Using normative modeling, machine learning, and harmonized phenotypes, our research identifies typical patterns and clinically meaningful deviations to improve pain classification and early intervention strategies.
Data Science and Population Health
Equity, Identity, and Social Determinants of Pain
Our research examines how social, cultural, and gendered dimensions of identity—including race, ethnicity, sex, gender, and rurality—contribute to disparities in pain outcomes. By integrating biopsychosocial frameworks with global datasets, we identify pathways through which disadvantage and gender norms influence vulnerability to chronic and nociplastic pain.
We study how survey design, question wording, and study methodology shape pain reporting across international cohorts. This work aims to build evidence-based tools that enhance the accuracy, comparability, and equity of pain assessment worldwide, ensuring more reliable data for research, clinical care, and policy.