I am Vasileios Maroulas, Professor of Mathematics, and Senior Research Fellow at the US Army Research Lab. My research portfolio is by nature interdisciplinary and focuses on computational mathematics and statistics with applications of their theory in several engineering and scientific problems. I develop mathematical data science methods using statistical learning, Bayesian statistics, computational probability, stochastic modeling, topology and geometry. I am also interested in developing quantum versions of my models. The foci of applications are (big) data problems related to:

- National security and defense, e.g. multi-object trajectory estimation,
- Biology at the cellular level, e.g. intracellular movements,
- Material science, e.g. quantifying uncertainty related to high entropy alloys (HEAs) materials,
- Physiology, e.g. classifying EEG and ECG signals
- Clinical research, e.g. analyzing kidney exchange graphs.

I am deeply grateful and thankful to the AFOSR, ARL, ARO, DOE, NSF, the Simons Foundation, and the Leverhulme Trust Fellowship in the UK, for funding my research.

As of January 2019, I am the co-Editor-In-Chief of the Foundations of Data Science published by the American Institute of Mathematical Sciences. I am looking forward to your submission!

The Mathematics Department at the University of Tennessee is hiring a Tenure-Track Assistant Professor in the area of **Statistics and Topological Data Analysis**. For learning more about the position and applying, please visit the ad on Mathjobs.