Daniel Lindh is a Senior Data Scientist and AI Engineer based in Amsterdam with nine years of experience bridging neuroscience research and applied machine learning. He holds a PhD in Neuroscience from the University of Amsterdam and has translated deep expertise in CNNs, fMRI/MEG analysis and multimodal data into production-ready ML systems and LLM-driven NLP solutions. Daniel has led end-to-end projects across healthcare and product safety domains, building forecasting and analytical pipelines that inform business and regulatory decisions. He also mentors and teaches—supervising 20+ students and designing graduate-level Python courses—bringing clarity to complex technical topics for diverse stakeholders. Comfortable moving between research and industry, he combines rigorous experimental methods with practical deployment experience and a persistent curiosity (and a soft spot for dogs).
9 years of coding experience
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at University of Amsterdam
Bachelor's degree Cognitive Science, Bachelor's degree Cognitive Science at Umeå University
Contributions:9 pushes, 1 branch in 4 years 10 months
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