Jaivardhan Kapoor is a PhD candidate at the University of Tübingen and an International Max Planck Research School scholar developing generative AI for clinical and scientific data with a focus on neuroscience and neuroimaging. With a strong foundation from IIT Kanpur (dual B.Tech+M.Tech in Electrical Engineering) and roughly a decade of research experience, he blends probabilistic modelling, normalizing flows, and Bayesian methods to accelerate scientific simulation and inference. His internships at Meta Reality Labs, Max Planck Institute, and Aalto reflect cross-disciplinary work from neuromotor interfaces to Bayesian nonparametrics and ODE discovery. Comfortable moving between theory and application, he often combines deep generative models with principled uncertainty quantification for sensitive clinical domains.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tübingen
Indian Institute of Technology Kanpur
CBSE Certification, Mathematics Stream, 92.8%, CBSE Certification, Mathematics Stream, 92.8% at Nezamia Public School
ICSE Certification, 96.8%, ICSE Certification, 96.8% at Seth Anandram Jaipuria School
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