Research Experience

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UC Berkeley

In this role, I worked on large-scale PET/MR neuroimaging studies investigating Alzheimer’s disease and dopaminergic mechanisms underlying human decision-making. My work focused on PET data preprocessing, image co-registration across PET and MRI modalities, and quantitative analysis using standard radiotracer kinetic models. I collaborated closely with cross-institutional imaging teams to harmonize acquisition parameters, verify scanner outputs, and maintain data quality across sites. This position strengthened my understanding of clinical imaging workflows, radiotracer timing, and the importance of precision and standardization in diagnostic imaging.

PET/MR Data Analyst
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UC Davis

As an MRI technologist aide and researcher, I supported the collection of MRI and fMRI data while prioritizing participant safety, comfort, and protocol adherence during scanning sessions. I coordinated scheduling and participant communication, monitored scans for motion and artifacts, and conducted ROI-based image tracing and quality control in alignment with neuroimaging standards. In parallel, I led independent research projects from experimental design through analysis and manuscript preparation, gaining a full view of how imaging data move from acquisition to interpretation.

MRI Tech Aide & Researcher
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Graduate Student Researcher

UCLA

My graduate research investigated how mnemonic representations of time influence learning and memory, combining behavioral experiments with pupillometry and neuroimaging-informed modeling approaches. I designed and implement human-subjects protocols, manage IRB submissions, and contribute to grant and fellowship applications. This work emphasizes careful experimental control, ethical research practices, and the integration of behavioral data with physiological and imaging measures, the skills that translate directly to structured, protocol-driven clinical environments.

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EEG/Eye-tracking Tech

UC Davis

In this role, I collected EEG and eye-tracking data for cognitive neuroscience studies examining visual search and real-world object recognition. I applied preprocessing pipelines in MATLAB to clean and synchronize multimodal datasets, ensuring accurate alignment across physiological signals. This position deepened my experience with human-subject data collection, signal quality control, and the challenges of managing complex, multimodal recording environments.