Published multiple papers on earth observation, climate change, and applications of artificial intelligence, such as those presented at AGU 2025, CVPR 2025, etc.; holds several patents, including methods for predicting fractional ice cover using machine learning.
Research Experience
From 2014-2020, was a core member of the IBM Deep Thunder team for weather and climate, which was awarded a Corporate Technical Award for 'Weather Technology' in 2020—the highest technical award at IBM. Served as PI on research projects with MIT, MILA, UIUC & RPI and was associate editor of 'Artificial Intelligence for the Earth Systems.'
Education
Moved to the United States in 2012 for a postdoc position at Yale University, studying cloud physics over Dominica and gravity waves over New Zealand; received a PhD in Atmospheric Science from The University of Melbourne in Australia.
Background
Senior Research Manager & Master Inventor at IBM Research, leading the Climate & Sustainability research team at the T. J. Watson Research Center in New York, focusing on AI foundation models for Earth and Space with NASA.