In celebration of Library Month and Nuclear Science Week, join us at the Deep River Library to learn about “AI in Nuclear Science: A panel presentation with CNL”
Date: Thursday, October 30th
Time: 6:30 – 7:30 pm
Place: The Deep River Library program room (55 Ridge Road)
Panel: Catalina Anghel, Ashlea Colton, Rosa Ortega and Reeghan Osmond
Dr. Catalina Anghel, Computational Research Scientist. Dr. Catalina Anghel is a computational research scientist and mathematician. Her research interests and expertise are in machine learning (ML), artificial intelligence (AI), algorithm development and probabilistic methods for nuclear applications. She is currently the technical lead on a project focused on surrogate modeling techniques to improve the integration of simulations and experiments for the advancement of small modular reactors. She organizes regular AI/ML discussions at Canadian Nuclear Laboratories and is involved in international initiatives on benchmarking AI/ML methods for nuclear science and engineering. Other past projects include identifying fuel pebbles using computer vision ML methods, researching the use of large language models for security-sensitive settings, and modeling nuclear accidents using Bayesian belief networks.
Ashlea Colton, Acting Manager Program Review for the Advanced Reactors Directorate. Ashlea has over 14 years of experience at CNL in reactor physics analysis and computational sciences. She has served as the Program Review Manager for the Advanced Reactors Directorate since February, supporting the directorate in managing the variety of research programs underway and championing improvement initiatives around project management and reporting. She previously served as Branch Manager to the Computational Techniques Branch from 2020-2024 innovating with her team to find approaches to keep staff connected in this new remote working paradigm. She has extensive experience leading complex computational research projects and oversaw the procurement, acquisition, and installation of CNL’s newest high-performance computing cluster named Athena. She co-organized the first Canadian Nuclear Society (CNS) conference on AI and Machine Learning in 2020 and continues to champion the integration of computational techniques in all aspects of research at CNL. Ashlea holds a Masters in Modelling & Computational Science and a Bachelors of Engineering in Nuclear Engineering, both from Ontario Tech University, in Oshawa.
Rosa Ortega, Research and Development Scientist, Fluids Engineering. Rosa is a research scientist in the Fluids Engineering Branch at Canadian Nuclear Laboratories (CNL), with over 12 years of experience in the Canadian nuclear industry. She holds a Bachelor’s degree in Mechatronics Engineering and a Master’s degree in Materials Science, and has developed extensive expertise in the design, qualification testing, and forensic analysis of nuclear components—particularly Primary Heat Transport (PHT) pump seals and valve systems that are vital to reactor safety and reliability. Rosa is passionate about applying artificial intelligence, online monitoring, and automated diagnostics to enhance component reliability, reduce radiation exposure for workers, and increase clean energy output from existing nuclear stations. She currently leads multiple research and development initiatives in online monitoring for both federal programs and commercial nuclear utilities. A firm believer in nuclear energy as a cornerstone of climate action, Rosa is driven by a commitment to protect the environment and ensure a sustainable energy future for generations to come.
Reeghan Osmond, Fuel Research Scientist, Advanced Fuel and Reactor Physics. Reeghan Osmond, P.Eng., is a Fuel Research Scientist at Canadian Nuclear Laboratories and supervisor of the X-ray computed tomography (XCT) facility, where she leads a team that analyzes hundreds of samples each year to non-destructively look inside components, identify defects, and give feedback to fabrication teams so they can optimize their process. She specializes in using XCT for advanced fuel characterization and brings an imaging perspective to AI, using it to speed up parts of the analysis, and turn 3D scans into models that have been used in TRISO fuel-performance modelling. Beyond her technical work, she serves on the Canadian Nuclear Society (CNS) Council and co-chairs the CNS International Liaison and Inter-society Relations Committee, where she works to strengthen ties with peer organizations and co-organizes joint events to advance nuclear science and technology in Canada. She holds an MASc in Mechanical Engineering from the University of British Columbia Okanagan (2021) and a BEng in Mechanical Engineering from the British Columbia Institute of Technology (2019).
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