The Team

Research Health Science Specialist, VA Palo Alto Healthcare Systems, Stanford University School of Medicine

Jessica uses ecological approaches in neuroscience to understand the brain in its sensory context, developing neurophysiology-guided interventions for psychiatric and age-related disorders using non-invasive brain stimulation, neuroimaging, and movement science.

Research Assistant, Stanford University

Rafael works on TMS-EEG preprocessing and analysis, including mu oscillation isolation and inter-trial coherence measures of phase synchrony during musical beat perception, and develops experimental paradigms investigating the neural mechanisms of sensorimotor entrainment.

Research Assistant, Stanford University

Eshika joins the lab with neuroimaging experience from the VA San Diego Healthcare System, where she worked on studies examining neural markers and treatments for mood, anxiety, and trauma-related disorders in Veterans, including leading a project investigating fMRI-guided TMS for comorbid depression and PTSD.

PhD Student Neurosciences Graduate Program, Stanford University

Samantha investigates the intracranial and causal mechanisms by which complex auditory information gives rise to subjective emotional responses, extending the lab's work on neural mechanisms of seTMS to intracranial methods.

Undergraduate Researcher in Biomedical Computation, Stanford University

Hunter is assisting with intracranial EEG research investigating how music gives rise to subjective emotional responses. He brings research experience in EEG and brain-computer interfaces.

MD Student Keck School of Medicine, University of Southern California

Winn is conducting a systematic review and meta-analysis examining how musical familiarity influences the perception of groove, with implications for stimulus selection in seTMS.

MD-PhD Student UNC School of Medicine 

Manjima works on TMS-EEG methodology, including investigations of auditory salience and the EEG vertex potential.

PhD Student Center for Computer Research in Music and Acoustics (CCRMA), Stanford University

Alex studies inter-individual variability in sensorimotor entrainment using at-home finger-tapping tasks, EEG, and TMS-EEG, with the goal of developing personalized seTMS protocols.

PhD Student Cognitive and Information Sciences, UC Merced

Tommaso is investigating the effect of musical groove on sensorimotor networks during active tapping and passive listening using EEG, and neural entrainment, beat perception, and metrical processing of multisensory (audiovisual) rhythms.

Postdoctoral Fellow Stanford School of Medicine

Nai-Feng investigates cortical excitability measurement and optimization, as well as sensory contributions to TMS-EEG signals.