Ian Langmore studied the mathematics of inverse problems under Gunther Uhlmann at the University of Washington. After his PhD, he worked on probabilistic methods for inverse problems in transport with Guillaume Bal at Columbia. At Google, Ian worked on Bayesian modeling for local search algorithms, before moving on to the Climate & Energy team, where he works on probabilistic methods in inverse problems. This places him happily at the intersection of applied probability, software engineering, and physics, all with a real-world purpose. His secret goal is to use rigorous mathematics in engineering.