Storm Slivkoff is a Research Partner at Paradigm focused on frontier methods in data science and data engineering. Storm spends much of his time working on open source tools for collecting, analyzing, and visualizing data. Storm also works on public-facing research spanning a variety of topics, including decentralized systems, optimization, forensic market analysis, and prediction markets. Previously, Storm earned a Ph.D. in neuroscience from UC Berkeley where he used voxelwise modeling to study visual attention. He also holds a B.S. in bioengineering and B.A. in applied math from Rice University.