Karlis Kanders

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Karlis is a Data Scientist working in Nesta’s Open Jobs Data unit.

He will be using network analysis and machine learning to ultimately provide individuals and organisations with the means to assess and navigate the labour market more efficiently.

Prior to Nesta, Karlis completed a PhD in Computational Neuroscience at ETH Zurich in Switzerland. His research focused on studying the dynamics of complex biological networks using theory of nonlinear dynamical systems, numerical simulations and experimental data analysis. Karlis also holds MSc in Neural Systems and Computation from University of Zurich & ETH Zurich, and BSc in Biology from University of Latvia.

He is generally interested in the opportunities for using science and technology to build and strengthen communities and, in the meantime, he enjoys spending time with family, playing saxophone, reading and cinema.