Meena Mani has been working on applied machine learning projects since 2006. She has extensive experience in biomedical imaging, a highly multidisciplinary domain which uses among other things, methods in statistical modeling, machine learning, image processing, computer vision, applied math and deep learning.
She has been affiliated with Radiology/Mayo Clinic, LONI/UCLA, Visages/INRIA and CMRR/UMN.

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.
At sixteen she won a Hinduja Foundation scholarship when she was selected from ten thousand applicants to attend the United World College, an international high school in the United States. She also attained a top ten rank in the Class 10 board examinations held in India.

Meena started her engineering career in the semiconductor industry. A lifelong learner, her love for solving problems with statistics and math has helped her anticipate and keep ahead of the rapidly changing trends in technology.

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