Doctoral Student at KTH Royal Institute of Technology
Stockholm, Sweden
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Patrik Jonell is a PhD student at KTH focused on machine learning for multimodal interaction and adaptive conversational agents, specializing in generating context-aware non-verbal behavior. With 11 years of experience spanning research, startups, and industry, he combines deep learning research with hands-on product and technical leadership—co-founding two ventures and leading engineering at small companies. His work leverages human interaction data to teach agents to adapt their gaze, gesture and timing much like human conversational partners. Fluent across HCI, social robotics and software engineering, he bridges academic rigor (co-authored papers during his master’s and PhD) with practical product-building skills. Based in Stockholm, he brings a rare blend of empirical research and startup pragmatism to making conversational agents more socially intelligent.
11 years of coding experience
8 years of employment as a software developer
Communication and Media Studies, Communication and Media Studies at Göteborgs universitet / University of Gothenburg
Master's Degree, Human Computer Interaction, Master's Degree, Human Computer Interaction at Université Paris Sud (Paris XI)
Master's degree, Human Computer Interaction, Master's degree, Human Computer Interaction at Technische Universität Berlin
Bachelor's degree, Media Technology, Bachelor's degree, Media Technology at Kungliga tekniska högskolan / KTH Royal Institute of Technology
pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
Contributions:110 commits, 81 pushes, 2 branches in 7 months
pytorchconvolutionsglowdeep-learningopenai
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Patrik Jonell - Doctoral Student at KTH Royal Institute of Technology