Dr. Phillips worked as a Nicholas C. Metropolis Post-doctoral Fellow at Los Alamos National Laboratory before joining the Department of Computer Science at MTSU in 2014. Phillips’ research interests are in AI, machine learning and computational biophysics. Particular examples include neurobiologically inspired models of working memory for robust AI, unsupervised machine learning applied to computational electrostatics for protein engineering and HIV vaccine development, and AI-inspired methods for accelerating in-silico protein folding. He has collaboratively helped secure over $3.5 million in funding from the National Science Foundation for student scholarships, undergraduate research, and applied machine learning research. He also helped develop MTSU’s B.S. in Data Science program, and continues to aid development of Data Science programs at the graduate level.

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