Nishanth Arun
PhD Candidate And Machine Learning Research Assistant
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolNishanth Arun is a PhD candidate and machine learning research assistant at Carnegie Mellon University with eight years of experience at the intersection of ML and medical imaging. Based in Pittsburgh, he works in the Biomedical Image Guidance lab on uncertainty quantification and explainable deep learning for abdominal MRI, aiming to create interpretable, robust, and ethically sound AI systems for healthcare. He has research internships and roles at the Martinos Center and Siemens Healthineers and teaches biomedical AI courses, blending hands-on model development with pedagogy. Known for focusing on explainability in clinically relevant imaging tasks, he brings both engineering rigor and a patient-centered perspective to ML research.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon UniversityBachelor of Technology Computer Science, Bachelor of Technology Computer Science at Shiv Nadar University
Github Skills (14)
image-recognition4
convolutional-neural-networks4
lstm-neural-networks4
siamese-network4
lstm3
sentence-similarity2
tensorflow2
machine-learning2
localization2
deep-learning2
object-detection2
keras2
pytorch1
deep-neural-networks1
Programming languages (3)
Github contributions (5)
QTIM-Lab/Assessing-Saliency-Maps
Jun 2020 - Dec 2020
Contributions:30 commits, 29 pushes, 1 branch in 5 months
nishanthta/wsl
Oct 2020 - Mar 2022
Weakly Supervised Localization
Contributions:6 pushes in 1 year 5 months
supervisedfactorizationtranslationinternationalizationbarrage
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