Hannah Choi Email & Phone Number

California, United States

California, United States

San Francisco Bay Area

UCSF Neural Connectivity Lab (PI: Pratik Mukherjee)Neurodevelopmental disorders: sensory processing disorder (SPD), autism spectrum disorder (ASD), and attention-deficit/hyperactivity disorder (ADHD)• Utilized resting state fMRI to examine the brain networks, lobes, and regions of children with sensory over-responsivity. • Examined structural MRI (sMRI) metrics of gray matter cortical thickness, surface area, and volume alongside diffusion MRI (dMRI) metrics of white matter tracts produced from diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI).• Employed long and short-range functional connectivity metrics (dual regression, fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo)), behavior and emotion assessment measures, and analytical techniques (permutation-based voxel-wise analysis, seed-based connectivity analysis (SCA), principal component analysis (PCA), correlation matrices, ANOVAs, robust regression, classification algorithms, latent profile analysis (LPA)) for in-depth data analysis. • Assisted with MRI data acquisition on 3T (UCSF Sandler Neurosciences Center) and 7T (NexGen 7T at UC Berkeley) scanners. • Lead in data preprocessing, data analysis, writing, and presenting. Developed fMRI preprocessing and analysis pipeline from scratch. Pediatric hemorrhagic stroke: arteriovenous malformations (AVMs) and intracerebral hemorrhage (ICH)• Leveraged sMRI in a longitudinal design of three timepoints, six months apart, to investigate neuroplastic alterations in brain morphometry within both the ipsilesional and contralesional hemispheres following pediatric ICH and surgical interventions. Currently employing subject-specific tractography to generate edge density images (EDIs) of patients’ structural connectomes with the aim of further elucidating longitudinal alterations in white matter tracts. • Lead in data preprocessing, data analysis, writing, and presenting.

Stanford, California, United States

Stanford Neuroscience and Music Lab (PI: Takako Fujioka)Behavioral portion of EEG experiment (accepted by Music Perception): https://osf.io/preprints/psyarxiv/xwqubPreliminary Poster: https://www.neuromusic.ca/posters-2022/neural-and-perceptual-correlates-of-modal-incongruence-between-local-and-global-syntax/- Investigated auditory perception and cognition by carrying out psychology and neuroscience experiments using electroencephalography (EEG) and behavioral methods.- Worked on independent research examining the event-related potentials (ERPs) produced in response to different harmonic resolutions, or cadence types, particularly those involving major-to-minor and minor-to-major mode transitions. ERPs of interest included the early right anterior negativity (ERAN), P3, and N5. Behavioral ratings involved arousal, valence, and degree of completion felt in response to the various cadences.- Involved in all stages of the experimental process, including study and survey design, stimulus creation, data collection, preprocessing, analysis, writing, and presenting.

Stanford University, California, United States

Music Engagement Research Initiative (MERI) (PI: Jonathan Berger)- Participated in EEG research on the processing of music and speech in individuals with autism. Assisted in study design and data collection.- Conducted an undergraduate capstone project on auditory spatial processing. Created custom pitch detection and vibrato analysis software. Analyzed the variability of note length and string vibrato usage (e.g., oscillation wavelength and amplitude) in wet and dry virtual acoustic environments.

Stanford University, California, United States

Stanford Memory Lab (PI: Anthony Wagner)Publication: https://elifesciences.org/articles/80281- Worked on a task-based fMRI study conducted over three days per participant, examining how spatial memories evolve across learning through differentiation and integration.- Assisted with fMRI data acquisition, human behavioral data collection, fMRI data preprocessing with fMRIPrep, neural pattern similarity analyses, and behavioral analyses.- Identified and manually traced neural regions of interest within the medial temporal lobe on high-resolution T1-weighted structural images using ITK-SNAP.

M.A. In Music, Science, And Technology (Mst), 4.01

Center for Computer Research in Music and Acoustics (CCRMA)

B.A.H. In Music, Science, And Technology (Mst), 4.09

Center for Computer Research in Music and Acoustics (CCRMA) Awarded with Honors

B.A. In Psychology (Concentration: Neuroscience), 4.09