A professor at UNM since 2008, Prof. Hayes studies ways different kinds of large-scale systems evolve over time. Specific questions include phase transitions in statistical physics and in the behavior of algorithms, the tradeoff between exploration and exploitation in online decision-making, algorithms for distributed computation and self-healing in distributed networks, and speed-vs-memory tradeoffs for random walks. In 2012, he received an NSF Faculty Early Career Development Award.