Postdoctoral Researcher at Max Planck Institute for Biological Cybernetics
Oxford, England, United Kingdom
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Summary
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Pranav Mahajan is a postdoctoral researcher based at the University of Oxford who blends computational neuroscience and applied AI to build theory-driven, interpretable health AI and safer human-AI interactions. Over eight years he has developed algorithmic models of human learning and decision-making using reinforcement learning, biologically plausible deep networks, and hierarchical Bayesian methods, and validated them with virtual-reality human-subject experiments and longitudinal wearable data. His recent work includes KG-RAG systems to improve patient-clinician interaction and foundation-model time-series biomarkers predicting chronic disease trajectories from 59k Fitbit users. He also investigates alignment failure modes in frontier LLMs through stress tests of value-dilemma behavior, bringing empirical rigor from neuroscience to AI safety. Comfortable moving between low-level optimization (distributed SGD at NVIDIA) and high-level cognitive models, he aims to translate mechanistic insights about human regulation into practical, domain-aware AI tools.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Neuroscience and Machine Learning, Doctor of Philosophy - PhD, Computational Neuroscience and Machine Learning at University of Oxford
Bachelor of Engineering - BE, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electronics and Communications Engineering at Birla Institute of Technology and Science, Pilani - Goa Campus
Contributions:20 commits, 3 pushes, 1 branch in 2 months
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Pranav Mahajan - Postdoctoral Researcher at Max Planck Institute for Biological Cybernetics