Technically driven professional with 3+ years of experience supporting data-intensive workflows and collaborating across research, engineering, and analytics teams. Skilled in Python, neuroimaging pipelines, and cross-functional communication, with a track record of improving data quality and workflow efficiency across large-scale projects. Eager to bring a detail-oriented, analytical mindset to an Associate Product Manager role and contribute to fast-paced product development and cross-functional execution in dynamic, growing environments
Key Projects
• Framingham Heart Study
– Managed a longitudinal MRI pipeline for thousands of participants
– Assessed scan quality and conducted volumetric analyses
– Developed FreeSurfer tools to enhance data processing workflows
• Longitudinal Neuroimaging and Cognitive Study of HIV-Infected Children
– Analyzed neuroimaging data for motion artifacts and created ground truth datasets using a standardized scoring system
– Compared model outputs with ground truth using Python and data visualization tools
• Segmentation Projects
– Developed automated claustrum segmentation method using the SynthSeg framework for ex vivo and in vivo MRI modalities (Manuscript submitted to Human Brain Mapping)
– Collaborated with the Dalca Lab at MIT CSAIL using 3D Slicer and Freeview; contributed to the development of ScribblePrompt , a segmentation-assist tool
Mauri, C., Fritz, R. , Mora, J., Augustinack, J., & Greve, D. (2024). A contrast-agnostic method for ultra-high resolution claustrum segmentation. Submitted to Human Brain Mapping.