Karlis Kanders

Member - STIP Compass Technological Sounding Board at Royal Statistical Society

London, England, United Kingdom
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Summary

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Senior
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Top School
Karlis Kanders is an interdisciplinary data scientist and researcher with eight years' experience applying machine learning, network analysis and nonlinear dynamical systems to horizon scanning, labour-market innovation and policy-relevant foresight. Currently heading Data Science, Discovery and Innovation at Nesta and advising the OECD’s STIP Compass, he builds AI-powered infrastructure that turns large-scale research, business and policy data into actionable trend intelligence. He has a rare blend of academic rigour from a DSc in Computational Neuroscience at ETH Zürich—where he published multiple first-author papers—and practical product delivery, having led prototype AI tools, managed teams and produced high-impact horizon-scanning reports cited by industry and government. Karlis’ work often connects micro-scale models (neural and dynamical systems) with macro-scale social systems, enabling novel insights such as mapping career transition pathways to anticipate automation risk. Colleagues describe him as a hands-on leader who fosters high-support, high-challenge teams while translating complex methods into usable policy tools.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (BSc), Biology/Human Physiology, Bachelor of Science (BSc), Biology/Human Physiology at Latvijas Universitate
bookDoctor of Sciences, Computational Neuroscience, Doctor of Sciences, Computational Neuroscience at ETH Zürich
bookERASMUS exchange, Neuroscience, ERASMUS exchange, Neuroscience at University of Helsinki
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Github Skills (25)

horizon9
scanning9
archived8
data-driven7
science5
cookiecutter5
python4
vscode3
data-science3
machine-learning2
sweet2
ai2
deep-learning2
forecasting2
animated1

Programming languages (5)

MakefileJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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We are exploring the potential impact of Generative AI on Nesta's Missions and work to uncover opportunities and risks that can inform Nesta’s strategy.
Contributions:37 reviews, 49 PRs, 99 pushes in 1 year
Data-driven horizon scanning for emerging tech and innovations
Contributions:101 reviews, 163 commits, 122 PRs in 1 year 9 months
data-drivenemerging-techhorizonscanning
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Karlis Kanders - Member - STIP Compass Technological Sounding Board at Royal Statistical Society