Research

My current interests revolve around Neuroscience in the Everyday World, Open Science, and Inclusivity and Equity in Research. Learn more about my research by following the links below:

Inclusion in Neuroimaging: fNIRS signal quality is sensitive to hair and skin properties. In this work, we aim to quantify this by running an fNIRS study in a large cohort of diverse subjects with a wide range of skin and hair properties. Our preliminary results show significant correlation between hair properties and the signal-to-noise ratio of the fNIRS measurements.

FRESH Project: This project aims to explore the range of analysis techniques utilized by the fNIRS community, and quantify the variation in conclusions that are drawn when many independent researchers analyze the same dataset. We believe this to be particularly important for the fNIRS community due to the diverse range of analysis procedures, young nature of the technique relative to fMRI, EEG, MEG, and the increasing adoption across a wide range of neuroscience and commercial applications.

fNIRS Glossary Project: The fNIRS Glossary project is intended to develop a community-sourced glossary (i.e., useful nomenclature) of terms relating to functional near-infrared spectroscopy (fNIRS) via a consensus-based methodology. We invite all fNIRS researchers to join the fNIRS Glossary Project by writing definitions, commenting on existing definitions, adding alternative definitions where applicable, and suggesting relevant references.

Functional Near-Infrared Spectroscopy: fNIRS Data Analysis and Applications related projects