Meena Mani works in brain imaging. Brain, or alternatively neuroimaging, is an umbrella term that includes the acquisition, image processing, data analysis and interpretation of brain image data. Meena focuses on data analysis, using methods from statistics and machine learning for connectivity analysis, population studies, differential diagnosis of disease and the like.

Meena holds advanced degrees in medical imaging (PhD/ INRIA), statistics (MS/UCLA) and physics (MS/Rennselaer Polytechnic Institute). She earned her bachelor's degree at Smith College double majoring in physics and mathematics. She is affiliated with Radiology/Mayo Clinic. She has also worked at LONI/UCLA, Visages/INRIA and CMRR/UMN. At the CMRR , she was associated with the Connectome project.

Prior to her foray into academic research, Meena worked as an engineer in Silicon Valley. The bulk of her decade-long experience relates to the process, product and design engineering projects she was involved with in the semiconductor industry. In particular, she worked with Flash Memory during the early days and was recognized by senior management at AMD for her contributions to product quality.