About me

Hi, I’m Ross Gruetzemacher. I’m a data scientist and PhD candidate at Auburn University. I have an undergraduate degree in mechanical engineering and a master’s degree in computational fluid dynamics. My primary research interests are in business analytics and decision making, with a focus on artificial intelligence, including applied deep learning, AI strategy and AI foresight.

I have finally completed my dissertation and I am working on a number of different projects at the moment. One of these involves an experiment that I carried out validating a calibration training web app for improving decision making in organizations. Once completed this manuscript will be submitted to Management Science. Another project involves the use of transformer-based language models for business analytics. I presented on this work at a pre-ICIS workshop in Munich in December. I plan to complete this working manuscript and submit it to Information Systems Research this summer. Yet another project involves Twitter analytics using big data tools and a package of Jupyter notebooks I plan to make available open source. A manuscript on this package is complete and will be submitted to Decision Support Systems following revision.

I took a break from teaching this year to focus on my dissertation, but previously I taught undergraduate sections of the Big Data I  and Big Data II courses at Auburn for my first three years in the PhD program. During this time I developed a novel curriculum for our students that culminated in a capstone project involving a Twitter analytics project. I am currently in the job market and searching for a leadership role in AI or data science. In my free time I enjoy travel, skiing, climbing, mountaineering, tennis, running and playing with my dog Cuda.