Akshay Chaudhari
Associate Professor
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAkshay Chaudhari is an Associate Professor at Stanford with eight years of experience developing multi-modal deep learning tools that combine medical imaging, clinical text, and records to drive measurable clinical impact. Trained as a bioengineer with a PhD from Stanford and a background spanning MRI physics to quantitative imaging, he builds models that bridge cutting-edge research and real-world radiology workflows. He has progressed from PhD candidate to faculty while consulting for and advising several medtech startups, and recently co-founded Cognita to translate research into products. His work is notable for creating ultra-fast, high-accuracy MRI protocols and for applying vision-language approaches to healthcare data—an uncommon blend of imaging physics and modern AI.
9 years of coding experience
11 years of employment as a software developer
University of California, San DiegoDoctor of Philosophy (PhD), Bioengineering and Biomedical Engineering, Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering at Stanford University
Hindi, Marathi
Github Skills (32)
mri8
multiclass-classification8
medical-image-analysis8
confusion-matrix7
convolutional-neural-networks7
medical-imaging6
segmentation6
measurements6
deep-learning5
inverse-problems5
large-scale5
pytorch4
composition4
mathematics4
computed-tomography4
Programming languages (1)
Github contributions (5)
akshaysc/msk_segmentation
May 2018 - Jun 2018
Fully-Automated Cartilage and Meniscus Segmentation for Knee MRI
Contributions:15 commits, 13 pushes, 1 branch in 1 month
segmentation
akshaysc/akshaysc.github.io
Sep 2017 - Aug 2018
Contributions:9 pushes, 1 branch in 11 months
phantomjekylljekyll-themehtml5
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