Melanie Moses is a Professor of Computer Science at the University of New Mexico and an External Faculty Member at the Santa Fe Institute. She studies complex biological and information systems, the scaling properties of networks, and the general rules governing the acquisition of energy and information in complex adaptive systems. She models distributed search processes in ant colonies and immune systems, and she designs bio-inspired, scalable swarms of robots that can autonomously cooperate and adapt to environmental conditions. She draws insights, tools, and approaches from different disciplines in an effort to find unifying principles in nature and computation.Her Ph.D is in Biology from the University of New Mexico and she has a B.S. in Symbolic Systems from Stanford University with a concentration in Agent Based Modeling. She has led the NASA Swarmathon and NM CSforAll to engage thousands of women and underrepresented minority students in computer science research and education.