Dr. Shailesh Appukuttan is a postdoctoral researcher in the Department of Integrative and Computational Neuroscience of the Paris-Saclay Institute of Neuroscience (CNRS, Université Paris-Saclay), France, with the Neuroinformatics research group. He is interested in the application of computational techniques to further biological research. As part of the Human Brain Project (HBP), his work involves the design and development of a model validation framework for neuroscience, and its integration into existing model development workflows, along with development of other related scientific tools.
Personal webpage: http://shailesh-appukuttan.scienceontheweb.net/

Dr. Andrew Davison is a senior research scientist in the Department of Integrative and Computational Neuroscience of the Paris-Saclay Institute of Neuroscience (CNRS, Université Paris-Saclay), France, where he leads the Neuroinformatics research group. His research interests focus on biologically detailed modelling of neuronal networks (particularly the mammalian visual system), and on developing tools to improve the reliability, reproducibility, and efficiency of biologically realistic simulations.

Dr. Pedro Garcia-Rodriguez is currently a Postdoc in Andrew P. Davison's team of the Neuroscience Paris-Saclay Institute. He completed a PhD in Computational Neuroscience at Pompeu Fabra University, Barcelona, Spain in 2012. Later on, he got involved in the statistical validation of biophysically detailed models for Basal Ganglia and Hippocampus brain regions, as part of the HBP project. His technical background includes computer programming, neuroscience simulators or APIs such as NEST, NEURON and PyNN, physics, non-linear dynamical systems and stochastic processes theory.

Prof. Rick Gerkin researches the design and validation of neural models from single neurons to human psychophysics. As the lead developer of SciUnit he is interested in a Pythonic approach to introducing test-driven development into the modeling process. Other efforts include the curation of diverse datasets from which such model validation tests can be constructed. He is also the Data Science Core lead on the "Cracking the Olfactory Code" consortium sponsored by US NIH, integrating physiological, optical, genomic, and behavioral data into a unified analysis and discovery framework.

Robin Gutzen is a PhD student at the Institute for Computational and Systems Neuroscience at the Research Center in Jülich, Germany. His research focuses on the statistical analysis and comparison of neural population dynamics in the form of spiking activity and field potentials. Beyond that, he is interested in the development of scientific software tools to facilitate, for example, validation testing and the integration of heterogeneous data into analysis workflows. Personal Webpage: https://rgutzen.github.io/

Sára Sáray is a doctoral candidate in the Department of Cerebral Cortex Research of the Institute of Experimental Medicine and the Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary. She is interested in the systematic construction and validation of detailed models of hippocampal neurons based on electrophysiological data.

Her research interests include the computational modeling of dendritic integration in hippocampal pyramidal cells.