Armand Burks, Ph.D.
Research Data Scientist
Armand Burks, Ph.D., is a research data scientist intermediate for Advanced Research Computing (ARC), a division of Information and Technology Services (ITS).
Burks is a member of the ARC Scientific Computing and Research Consulting Services team, and is ready to help researchers with establishing data workflows, transforming data between different formats, programming support, optimizing/parallelizing code, cloud computing with Hadoop, and developing custom code (C++, Java, Python). He also has experience with genetic programming and evolutionary computation.
Before joining the university, Burks was an assistant professor of computer science at Alabama State University. He taught object-oriented programming in C++, programming and problem solving with C++, data structures and algorithms, operating systems, and introduction to computer science.
Burks’ doctoral research focused on developing genetic diversity techniques to improve the state of the art of genetic programming. He also developed a genetic programming technique for automated tuberculosis screening using raw X-ray images. Two of his publications in this field were nominated for the best paper award at the Genetic and Evolutionary Computation Conference (GECCO), the largest international conference in this field of research.
He earned a B.S. in computer science from Alabama State University in 2008, an M.S. in computer science and engineering from Michigan State University in 2010, and a Ph.D. in computer science from Michigan State University in 2017.
In his free time, he plays the saxophone and enjoys watching college football. He also likes reading, art, and music.