MICHAEL LACEY: THE MATHEMATICAL WIZARD

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Born in September 1959, Michael Lacey is a renowned American Mathematician. Developing keen interest in Mathematics at a young age, Lacey went on to pursue the subject in higher learning institutions. He acquired a Bachelor of Science from the University of Texas in 1981. His academic pursuits led him to the University of Illinois, Urbana-Campaign, where he received his Ph.D. in 1987.

His thesis centered on the area of Probability in Banach spaces- named after the Polish mathematician that pioneered this concept. His thesis also presented solutions to the Law of Iterated Logarithm. In the following years, Lacey’s groundbreaking work influenced areas such as Probability, Ergodic Theory and Harmonic Analysis. Read more: Michael Lacey | Mathalliance

His professional career began at Louisiana State University, Baton Rouge. After serving as an Assistant Professor for a year, Lacey moved to the University of North Carolina in 1988. Here he taught Mathematics, specializing in Probability and Harmonic Analysis.

During his tenure at the institution, Lacey worked with his close friend, Walter Philipp to verify the Central Limit Theorem. In 1989, Michael joined Indiana University where he served as an Assistant Professor.

In his time at the institution, Lacey received a Postdoctoral Fellowship award from the National Science Foundation. In the subsistence of this fellowship, he began his analysis of the Bilinear Hilbert Transform. Learn more about Michael Lacey: http://nyjm.albany.edu/j/2017/23-8.html

This transform had been a hitherto contentious subject in Mathematics. In 1996, Lacey partnered with Christoph Thiele and solved the problem.

Subsequently, the two were awarded the Salem Prize- a prestigious award for outstanding Mathematical achievements. In 1996, he joined Georgia Institute of Technology as Professor of Mathematics.

He has continued to work in the institution’s faculty to date. In 2004, Lacey was awarded a Guggenheim Fellowship. In 2012, he was inducted as a fellow to the American Mathematical Society.