Ishaan Bhat is a Machine Learning Scientist with nine years of experience applying deep learning to medical imaging and antibody optimization, currently working at ENPICOM in Utrecht. His PhD and subsequent roles at UMC Utrecht focused on clinically impactful projects—reducing false positives in segmentation, modeling inter-expert uncertainty, and automating lesion tracking—work that led to publications and clinical adoption. He combines strong research instincts with production-minded engineering, having built image-analysis pipelines, physics-informed DL approaches for MR acquisition, and ML solutions for industry clients. Early systems work at NVIDIA and embedded-systems training give him uncommon breadth across hardware-aware simulation and generative-model evaluation. Colleagues rely on him to translate open research into validated tools that improve diagnostic workflows and enable antibody design.
9 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS, Embedded Systems, Master of Science - MS, Embedded Systems at Eindhoven University of Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Utrecht University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Birla Institute of Technology and Science
Contributions:47 commits, 11 pushes, 2 branches in 1 year
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Ishaan Bhat - Machine Learning Scientist at ENPICOM