Storm Slivkoff is a research partner at Paradigm, focusing on data science and data engineering. He develops open-source tools for data collection, analysis, and visualization, and researches decentralized systems, market analysis, and prediction markets. He holds a PhD in neuroscience from the University of California, Berkeley.
Investment and ResearchOthermathematiciansartists
Storm Slivkoff is a research partner at Paradigm, focusing on data science and data engineering. He develops open-source tools for data collection, analysis, and visualization, and researches decentralized systems, market analysis, and prediction markets. He holds a PhD in neuroscience from the University of California, Berkeley.
Milestones
A chronology based on verified profile facts and linked public reports.
X account @notnotstorm posted: “this article synthesizes so many hard-fought lessons into a beautiful cohesive hopeful view TLDR = scaling up neural networks can make them more interpretable, not less, because the neurons' feature selectivities become more fine-grained and well-organized one level deeper =”
An X user posted that the careers and life plans of traditional mathematicians, artists, and others may be disrupted by future changes, expressing sympathy.
