Power Sessions

Power Sessions

Power Sessions can be registered for during registration for Data Day. Attendance is capped at the first 60 registrants who express interest. You may register for one or both.



George Turner Head Shot

George Turner

George Turner, Chief Systems Architect, Indiana University.

George Turner has been working closely with the Advanced Research Computing (ARC) team since early 2018 to architect, acquire, and deploy UC’s growing cyberinfrastructure. Turner’s day job is working as Indiana University’s (IU) Chief Systems Architect with IU’s Pervasive Technologies Institute (PTI).

Turner has nearly four decades of experience working in the scientific and engineering fields with in-depth experience with real-time data acquisition systems, analysis of data products produced by these systems as well as experimental and theoretical scientific workflows. For the past twenty years, Turner has worked with the High Performance Systems (HPS) group at IU which is responsible for providing cyberinfrastructure services to the university, the state, as well as a national research user base.



Image of Erin McCabe

Erin McCabe

Erin McCabe, Digital Scholarship Library Fellow, DSC, UC Libraries, University of Cincinnati

Erin E. McCabe is the Digital Scholarship Library Fellow at the University of Cincinnati’s Digital Scholarship Center where she works with UC faculty using Natural Language Processing for research questions across disciplines – from investigating bone narratives in Archaeology to mapping an American history of cannabis rhetoric. Currently, she is applying these methods to better understand the biomedical research response to Covid-19 and other viral outbreaks.  

Her less academic work includes building nonsense poem generators and networks of historical circus troupes. Erin earned her B.A. in French at Concordia-Montréal and her MLIS at Pratt Institute. 


Power Session 1 – High Performance Computing

9:00 AM – 10:30 AM

Presenter: George Turner

Title: HPC Next – Intro to modern HPC and computing/analysis tools for Research and Education

The rapid advancement and introduction of new processing technologies for computing have facilitated the convergence of Artificial Intelligence (AI) and Machine Learning (ML), Data Analytics and Big Data and the High-Performance Computing (HPC) platforms into a ‘modern HPC’ environment which includes batch, interactive and web-based computing tools to meet a diverse community of researcher’s needs.

In this introduction to modern HPC tools available in UC’s Advanced Research Computing (ARC) center, users will get hands on experience submitting a batch job, running a job that uses containers, and, if time allows, scheduling and executing a job that uses the cluster GPU nodes.

We will provide a brief introduction to the cluster’s web front-end where users can interactively compute on the cluster, including easy-to-use Jupyter Notebooks or RStudio for education and research.


Power Session 2 – Machine Learning

10:30 AM  – 12:00 PM

Presenter: Erin McCabe
Title: Text Mining & Natural Language Processing

Description: In this session we will be learning some of the logic behind key machine learning concepts for unstructured text, such as: Classification, Unsupervised Learning, and Topic Modeling.

We’ll be working with pre-fabricated code in Jupyter Notebooks and real life examples on UC’s own digital scholarship platform to better understand where ML fits in to academic research.

Coding experience is helpful, but not necessary, just curiosity and a laptop!