Samuel Arbesman, PhD
Samuel Arbesman is a complexity scientist and writer. He is passionate about bringing together seemingly unrelated ideas from science and technology. Samuel works with companies and founders that recognize that the future happens at these boundaries, in such areas as open science, tools for thought, managing massive complexity, artificial intelligence, and infusing computation into everything from biology to manufacturing.
Samuel’s scientific research examines such areas as scientific discovery and network science. His writing has appeared in The New York Times, The Wall Street Journal, and The Atlantic, and he was previously a contributing writer for Wired. Samuel is the award-winning author of Overcomplicated: Technology at the Limits of Comprehension and The Half-Life of Facts.
In addition, Samuel is a Senior Fellow of The Silicon Flatirons Center at The University of Colorado, and a Research Fellow at The Long Now Foundation. Previously, Samuel was a Senior Scholar in Research and Policy at The Ewing Marion Kauffman Foundation and a Research Fellow in the Department of Health Care Policy at Harvard Medical School. He completed a PhD in computational biology at Cornell University and earned a BA in computer science and biology at Brandeis University.