Computer scientist, data scientist, and interdisciplinary researcher
Research focuses on applying Artificial Intelligence (Machine Learning and Deep Neural Networks) to enhance physicists' understanding of the Sun and its driving physical processes
Aims to achieve reliable forecasting of extreme space-weather events originating from the Sun, which can cause severe economic and societal impacts
Expertise in using cutting-edge cyberinfrastructure in Data Mining and Machine Learning to extract interpretable knowledge from massive, complex sensory data
Designs and deploys computer vision algorithms to automate detection, identification, and tracking of solar events
Investigates limitations of traditional evaluation methodologies and develops new metrics for big data challenges in space-weather analytics