Hein Htet Aung

With a background in Mechanical Engineering and Materials Science, Hein loves applying data science to gain insights from systems at macro and micro levels. For his Master’s research, he worked on data-driven modeling for degradation of acrylic polymers and released an R software package. After his internship with Lawrence Livermore National Lab during his Ph.D. program, Hein is working to expand his research in DIW systems to model the error behavior of the build platform during the printing process and contribute towards the development of data-driven digital twins. Hein aspires to work in an interdisciplinary research area where he can explore novel ideas through data science.