Neil Johnson is a professor of physics at George Washington University where he heads up a new initiative in Complex Systems, Networks and Data Science to attack real-world problems. He is also a Visiting Professor at Royal Holloway, University of London, and a co-founder of ClustrX LLC, a D.C. based tech consultancy that maps out online collective behavior across social media platforms. His research interests lie in the broad area of ‘many-body’ out-of-equilibrium systems of collections of objects, ranging from crowds of particles to crowds of people. Recently his research has focused on the online ecology surrounding scientific misinformation ("The online competition between pro- and anti-vaccination views" Nature 582, 230 (2020)) and online harms (“Hidden resilience and adaptive dynamics of the global online hate ecology”, Nature 573, 261 (2019)).
Neil is a Fellow of the American Physical Society (APS) and is the recipient of the 2018 Burton Award from the APS. He received his BA/MA from St. John's College, University of Cambridge and his PhD as a Kennedy Scholar from Harvard University. He was a Research Fellow at the University of Cambridge, and later a Professor of Physics at the University of Oxford until 2007, having joined the faculty in 1992. Following a period as Professor of Physics at the University of Miami, he was appointed Professor of Physics at George Washington University in 2018. He presented the Royal Institution Christmas Lectures "Arrows of Time" on BBC TV in 1999. He has more than 300 published research papers across a variety of research topics and has supervised the doctoral theses of more than 25 students. His published books include Financial Market Complexity published by Oxford University Press and Simply Complexity: A Clear Guide to Complexity Theory published by Oneworld Publications. He co-founded and co-directed CABDyN (Complex Agent-Based Dynamical Systems) which is Oxford University's interdisciplinary research center in Complexity Science, and an Oxford University interdisciplinary research center in financial complexity (OCCF).