Maneesh John is a doctoral student in electrical and computer engineering at Cornell University with eight years of hands-on research experience applying machine learning to medical imaging and computer vision. He currently works with Dr. Yi Wang at Weill Cornell Medicine on quantitative MRI while bringing a strong background from the University of Iowa, where he developed deep learning pipelines for CT classification and novel reconstruction/postprocessing algorithms. His work bridges algorithm development and practical image-processing pipelines, showing fluency from model design to biomedical collaboration. Maneesh has a track record of interdisciplinary projects with radiology partners, demonstrating an ability to translate research into clinically relevant tools. Based in New York, he combines rigorous academic training with applied engineering instincts and a focus on measurable impact in medical imaging. A notable, less obvious strength is his sustained continuity across long-term group projects, indicating both technical depth and persistence in delivering complex research systems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Cornell University
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of Iowa
Contributions:1 PR, 22 pushes, 1 branch in 6 months
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Maneesh John - Doctoral Student at Cornell University