Michael Lacey: Expert of Pure Mathematics

Born on September 26, 1959, Michael Lacey is a mathematician based in the United States of America. In 1987, Michael Lacey received his doctoral degree with the direction of Walter Philipp from the University of Illinois at Urbana-Champaign. His area of research was on the probability in Banach spaces. A Banach space is simply a vector space with a way to measure the length of vectors and distance between vectors. Lacey’s research solved a problem regarding the law of the iterated logarithm and the empirical characteristic function. The empirical characteristic function describes the probability distribution for any random variable with a real value, while the law of the iterated logarithm refers to the magnitude of changes of a random walk.


Among his first positions after receiving his doctorate were positions at Louisiana State University and the University of North Carolina at Chapel Hill. At the University of North Carolina at Chapel Hill, Philipp and Lacey produced a proof for the central limit theorem, which states that when, in most situations, random independent variables are summed, that sum will tend toward a normal (bell) curve even if the variables do not have a normal distribution. From 1989 to 1996, Lacey worked at Indiana University, where he got a postdoctoral fellowship from the National Science Foundation. He and colleague Thiele received the Salem prize for solving the bilinear Hilbert transform in 1996.


From 1996 to the present, Lacey has worked at the Georgia Institute of Technology as a professor of mathematics. While working with Xiaochun Li in 2004, he received a Guggenheim Fellowship. The American Mathematical Society accepted Lacey as a fellow in 2004. Over the years, Lacey has focused his work on probability, harmonic analysis, and ergodic theory. He is an expert in the field of pure mathematics. Lacey has published many articles in various journals, has received numerous grants, and has received awards for his contributions to the field of mathematics.