With Suzanne Parete-Koon from Oak Ridge National Laboratory
Relevant conference themes: High-performance computing; Scientific machine learning
Abstract: What makes us trust the models and simulations we use for research? What is required to ensure they produce accurate, meaningful, and reproducible science? Beyond the models themselves, what ethical and social frameworks are necessary to establish trustworthiness? And what does “”trustworthiness”” mean in the context of computational sciences? How can we help non-scientists trust the results and methods of computational science? In this GAG, we can discuss anything related to computational science, careers, hobbies, and navigating this conference. But let’s begin by exploring reproducibility and trust in our work and beyond.
Suzanne Parete-Koon, Oak Ridge National Laboratory
she/her/hers, https://www.ornl.gov/staff-profile/suzanne-t-parete-koon
Biography: Suzanne is an HPC Engineer at the Oak Ridge Leadership Computing Facility, where she has been helping researchers utilize the facility’s supercomputers for over a decade. She holds a Ph.D. in computational astrophysics from the University of Tennessee and previously worked with the U.S. Department of State through an AIP diplomacy fellowship, where she used science and research to foster international diplomacy. Suzanne leads the HPC-Workforce Development Community group within the DOE Consortium for the Advancement of Scientific Software, aiming to create a positive culture for computing at the National Laboratories. Outside of work, Suzanne enjoys exploring international cuisines, parenting, letterboxing, and ice skating. As an introvert, she values her social recovery time with books and crafts. She shares her home with three bunnies, two kittens, one teenager, one musician, an axolotl, and a fish.
Motivation: I want to lead a GAG because I am committed to fostering a positive culture within the scientific and computing communities. With about half of my career spent in this community, I have gained experience navigating both the work and career challenges that people face. I enjoy learning from the experiences of the participants too. As an introvert who values meaningful connections, leading this GAG offers me the opportunity to connect and contribute to a cause that aligns with both my professional and personal values, helping to shape a culture where everyone feels welcome and supported.