SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis · 2024
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Resume (English only)
Academic Achievements
2024 UKStudy Award Finalist (British Council); 2021 Rising Star in Networking and Communications (ACM N2Women); 2017 US Department of Energy (DOE) Early Career Award; 2016 UK Royal Society Scientist at Westminster; Books Published: X-Machines for Agent-Based Modeling: FLAME Perspectives; Featured Articles & Media: Multiple featured talks and articles.
Research Experience
Joined Oak Ridge National Laboratory in 2023 as Group Lead for Quantum Networking and Communications Group; Research explores AI/ML solutions to improve network performance for high-speed distributed data movement and large science transfers such as in US DOE science challenges (e.g., high-energy physics, plant ecology, nuclear energy applications, and more).
Education
Earned her PhD and MSc in Computer Science, developing evolutionary learning algorithms for Agents in large complex systems over distributed high performance systems and building the open source platform FLAME.
Background
Research Interests: AI/ML solutions for computer networking, wireless, and quantum networking; Professional Fields: deep learning, software engineering, game theory, and swarm intelligence; Brief Introduction: An AI Scientist who develops AI and distributed intelligence solutions for Computer Networking - Wide area networks, Wireless and Quantum Networking.
Miscellany
Code Repository: Self-driving Networks, including Traffic Prediction, InDIRA (Intent based networking), and HECATE (AI-enabled traffic engineering).