Meenakshi Khosla
Assistant Professor at UC San Diego
San Diego, California, United States
Summary
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Senior🎓
Top SchoolMeenakshi Khosla is an incoming Assistant Professor at UC San Diego with eight years of experience at the intersection of machine learning, medical imaging, and low-power system design. She completed a PhD in Electrical and Computer Engineering at Cornell, followed by a postdoctoral appointment in MIT’s Department of Brain and Cognitive Sciences, and brings deep expertise in energy-efficient neural networks and clinical neuroimaging. Her background spans industry work at Qualcomm optimizing neural networks for embedded perception and academic research mentoring that blends applied statistics with hardware-aware ML. Known for bridging theory and practice, she pursues research that makes advanced models deployable in resource-constrained settings while informing clinical questions. An IIT Kanpur alumnus with top-tier academic performance, she combines rigorous engineering foundations with interdisciplinary collaborations across neuroscience and imaging.
8 years of coding experience
4 years of employment as a software developer
Springdales SchoolDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Cornell UniversityB. Tech-M. Tech Dual Degree, Electrical Engineering, 9.5/10.0, 10.0/10.0, B. Tech-M. Tech Dual Degree, Electrical Engineering, 9.5/10.0, 10.0/10.0 at IIT Kanpur
English, Hindi, Spanish
Github Skills (25)
neuroimaging5
bids5
electrophysiology5
brain-imaging5
python5
dataflow-programming5
data-science4
dataflow4
pipeline4
convolutional-neural-networks3
lstm-neural-networks3
big-data3
autoencoder2
machine-learning2
workflow-engine2
Programming languages (1)
Github contributions (5)
mk2299/SharedEncoding_MICCAI
Jul 2020 - Oct 2020
Contributions:4 commits, 4 pushes, 1 branch in 3 months
mk2299/Ensemble3DCNN_connectomes
Mar 2019 - Mar 2019
Contributions:5 commits, 5 pushes, 1 branch in 1 day
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