Patrik Jonell
Doctoral Student at KTH Royal Institute of Technology
Stockholm, Sweden
Summary
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Senior🎓
Top SchoolPatrik 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 GothenburgMaster'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 BerlinBachelor's degree, Media Technology, Bachelor's degree, Media Technology at Kungliga tekniska högskolan / KTH Royal Institute of Technology
French, German, Polish, English, Swedish
Github Skills (49)
mongoose10
flynn10
celery9
face9
css9
statistical-models9
flame9
3d-models9
3d-reconstruction9
docker-compose8
3d8
computer-graphics8
video-processing8
3d-graphics8
javascript8
Programming languages (7)
Github contributions (5)
jonepatr/feature_extractors
Oct 2019 - Nov 2019
Contributions:37 commits, 26 pushes, 2 branches in 1 month
jonepatr/glow-non-verbal-robot-behavior
Mar 2019 - Oct 2019
pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
Contributions:110 commits, 81 pushes, 2 branches in 7 months
openaipytorch
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