Wearable Validation
Comparing wearable EEG with research-grade systems to assess biomarker convergence and real-world feasibility.
Wearable Neurotechnology & EEG Researcher
Ph.D. candidate in cognitive neuroscience specializing in wearable device validation, EEG biomarkers, human-subject research, and signal processing. I study how rigorous laboratory measures can be translated into scalable, real-world wearable applications.
My work sits at the intersection of cognitive neuroscience, wearable technology, biomarker validation, and scalable human research.
Comparing wearable EEG with research-grade systems to assess biomarker convergence and real-world feasibility.
Developing EEG preprocessing, artifact rejection, quality-control, ERP, and statistical analysis workflows.
Designing and executing studies spanning cognition, executive function, sleep, and ambulatory neurophysiology.
Current projects emphasize validation, remote assessment, and the translation of neuroscience into scalable technology.
Lead a cross-system validation study evaluating convergence of executive-function EEG biomarkers between research-grade BrainVision and wearable EMOTIV systems.
Collaborate on integrating EMOTIV with the Portable Adaptive Rapid Testing platform to support synchronized cognitive assessment and remote EEG acquisition.
Experience with ambulatory DREEM sleep EEG in older adults, linking sleep physiology with cognition and memory outside the laboratory.
A progression from developmental neuroscience and neuroimaging to wearable EEG, biomarker validation, and digital research.
Selected manuscripts and presentations highlighting wearable EEG, validation, sleep, and cognitive assessment.
Cross-system validation of wearable and research-grade EEG for executive-function biomarker measurement.
Ambulatory sleep EEG research examining the feasibility of scalable neurophysiological measurement outside the laboratory.
Scientific presentation on validation of a digital cognitive assessment for children and adolescents.
Presentation of EEG and memory research in older adults.
Technical, analytical, and research methods relevant to wearable technology and digital health.
Academic training complemented by leadership, mentorship, and translational research experience.