Dr. Nathan Hodas is a Senior Research Scientist in the Data Science and Analytics group at Pacific Northwest National Lab (PNNL). He is an expert in statistical and bio-physics, human dynamics, and information-theoretic machine learning. He has significant experience connecting complex (and messy) real-world data with analytical models of physical, biological, and human systems. Before arriving at PNNL in the spring of 2014, he was a post-doc under Kristina Lerman at Information Sciences Institute at the University of Southern California, studying information propagation on social networks and developing human response dynamics to predict user’s behavior online. He attended the Santa Fe Institute’s Complex Systems Summer School in 2009. His graduate work at Caltech involved studying nonlinear dynamics of nano-scale systems, conducting nonlinear optical biological experiments, developing advanced theories of nanoscale protein dynamics, and modeling surface chemical reactions under Prof. Rudy Marcus and Prof. Scott Fraser. He is the recipient of the LeRoy Apker Award from the American Physical Society.