As a Research Associate, I simultaneously contributed to three interdisciplinary projects exploring autism spectrum disorder (ASD), anxiety, and depression, utilizing both qualitative and quantitative methods to investigate underlying cognitive and neural processes.
• Managed data collection for 200+ participants using fMRI, MRI, and eye-tracking techniques, ensuring accuracy and adherence to ethical standards.
• Optimized data processing time by 97% by developing a Python-based coding protocol for behavioral datasets.
• Led a 10-member cross-functional team to coordinate ethical data collection and streamline communication with external stakeholders.
• Designed and implemented experimental protocols in PsychoPy and analyzed results using SPSS and Python, generating data visualizations for stakeholder presentations.
• Co-authored a peer-reviewed manuscript published in Springer Nature and presented findings at 3 academic conferences.