Ph.D. candidate, Department of Mathematics
Highly-ordered, nanometer-scale structures often spontaneously self-organize atop ion-irradiated surfaces, although frequently in difficult-to-predict ways. A complete mathematical theory of this phenomenon is highly sought-after, with potential application in medical devices, semiconductor manufacturing and other industries that would benefit from improvements in nanoscale control. Tyler’s research contributes to the development of such a theory by reconciling theoretical models with experimental data.
Tyler earned a B.S. in mathematics from Lamar University in 2016 followed by an M.S. in mathematics from Lamar University in spring of 2018 on a Moore Method Teaching Apprenticeship. He was then accepted to SMU’s Ph.D. program in computational and applied mathematics for fall of 2018, and in early 2020, he was awarded an NSF-RTG fellowship through SMU’s Department of Mathematics for modeling complex transport processes in nanoscale manufacturing. When not working on his research, he enjoys reading, working out, birdwatching, languages and chess.