Dimitri Yatsenko
Dimitri Yatsenko has a PhD in Neuroscience (Baylor College of Medicine) and Masters in Computational Engineering and Science (University of Utah). As CEO at DataJoint, he leads a team of scientists and engineers to develop tools for analyzing and managing neuroscience data for advanced collaborative projects. He serves as Principal Investigator on NIH grants to develop open-source software and a cloud platform supporting standardized data pipelines for common types of neuroscience experiments.
Sessions
Relational databases manage structured data and facilitate queries in collaborative repositories, but using SQL from a scientific programming language is awkward. DataJoint is an open-source framework for managing scientific data supporting data definition, diagramming, and queries. DataJoint makes computation a native part of its data model, bridging the gap between databases and numerical analysis in automated workflows. We will showcase the elegance of the relational data model and its versatility through neuroscience research examples. We will also introduce the DataJoint SciViz library, enabling scientists to build web apps for data visualization and unlocking further potential for data-driven discovery.