Ian is a computational scientist and engineer at Continuum Analytics. He loves Python, and finding great ways to use it to solve big hairy problems in scientific computing, data analysis, and visualization. Ian helped develop a Python-based computational infrastructure for the CERN LHCb experiment during his PhD at Oxford, and followed that with work on distributed MC option pricing algorithms while a postdoctoral research at INRIA (France). Prior to joining Continuum, Ian spent 5 years at Harvard, first developing a science gateway for computational biology (in Python, of course), and then as lecturer in the School of Engineering.