Turab Lookman

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Turab Lookman obtained his Ph.D. from Kings College, University of London,and held university appointments at Western University and the University of Toronto in Canada until 1999. He was elected Fellow of the American Physical Society (APS) in 2012 and a Laboratory Fellow at Los Alamos National Laboratory in 2018. His interests and expertise lie in hard and soft materials science and condensed matter physics, applied mathematics, and computational methods. His work on information directed approaches to materials discovery started in 2012 when he was funded by LANL/DOE to investigate how ML tools could be applied to accelerate materials discovery. Their work led to applying experimental design methods, such as Bayesian Global Optimization, within an active learning frame work to find materials with targeted response. He has published over 450 papers with 16.5K citations and h index 62.