Suzanne T Parete-Koon

HPC Engineer

Suzanne Parete-Koon is a High Performance Computing Engineer for OLCF and CADES at ORNL. She works to support scientific applications running on Summit and other HPC resources at ORNL. 

After completing her PhD in astrophysics at the University of Tennessee, Knoxville, in 2008, Parete-Koon spent a year working as a foreign affairs officer for the US Department of State through an American Institute of Physics diplomacy fellowship. During that time she served as a representative to the ITER Council and as the United States’ primary point of contact for Space Weather. She helped foster international relations by facilitating global scientific collaboration through workshops and meetings, including the United States–Egyptian remote sensing satellite data workshop.

In 2009 she accepted a postdoctoral position with the Scientific Computing Group at the Oak Ridge Leadership Computing Facility (OLCF), a DOE Office of Science User Facility located at ORNL. At that time, she was working on developing computational simulations of the web of nuclear reactions that power stars and stellar explosions.

Her passion for people eventually directed her interests toward the support angle of computational science. Between 2011 and 2017, She worked as an OLCF User support specialist collaborating with OLCF staff on innovations to improve user experiences and working directly with users to help them get the most out of their time on Titan.

Starting in 2018 she worked for approximately two years as the User Support Group Leader for the Neuton Sciences User Program implemented at SNS and HFIR. Where she managed an excellent team that led the proposal calls for SNS and HFIR experiments and on-boarded facility users. 

Her publications include: 

A New 17F(p, γ)18Ne Reaction Rate and Its Implications for Nova Nucleosynthesis, The Astrophysical JournalVolume 598Number 2

Strength of the 18F(p,α)15O Resonance at Ec.m.=330  keV,

A review of direct numerical simulations of astrophysical detonations and their implications, DOI: 10.1007/s11467-013-0279-y

HPC’s Pivot to Data Proceedings of CUG 2014, Lugano, Switzerland (2014)

Large-Scale Compute-Intensive Analysis via a Combined In-Situ and Co-Scheduling Workflow Approach DOI:

Parete-Koon S. et al. (2020) Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. In: Nichols J., Verastegui B., Maccabe A.., Hernandez O., Parete-Koon S., Ahearn T. (eds) Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI. SMC 2020. Communications in Computer and Information Science, vol 1315. Springer, Cham.