AI for Climate Impact, IBM Research
Dr. S. Karthik Mukkavilli is bridging gaps between artificial intelligence and Earth systems science. He is an affiliate research scholar at Berkeley Lab. At Mila – Quebec AI Institute, he is a postdoc fellow advancing integrated climate extremes research with the Turing Laureate, Yoshua Bengio, director of the visualizing climate change project co-founded with Microsoft Research. At the McGill School of Computer Science he is a Postdoc scholar leading AI for Earth Science efforts. He leads the EnviroNet project with several collaborators to create a global repository of labelled datasets for benchmarking AI progress in geoscience.
Karthik serves on the American Meteorological Society AI committee and technology advisory board of the World Energy Meteorology Council. He has co-authored papers featured in MIT Tech Review and National Geographic on climate change and machine learning, developed the carbon cycle method and plant-rich diet solution for the NY Times bestseller, Drawdown.
As an entrepreneur he is the Founder of a stealth startup called Groundobs that was a super-session finalist of Creative Destruction Lab — the world’s first AI seed program; and led a contract with Rutherford Appleton Lab in European Space Agency’s Earth Observations data science entrepreneurship initiative. He completed Harvard Business School Executive's Program for Leaders in Digital Innovation sponsored by Harvard Club of Australia. During his PhD with University of New South Wales’(UNSW) School of Photovoltaics and Renewable Energy Engineering he was a Commonwealth Scientific & Industrial Research Organisation (CSIRO) Office of Chief Executive Scholar in their flagship Ocean and Atmosphere division and a visiting affiliate at Harvard-Smithsonian Centre for Astrophysics. He received a Masters in Chemical Engineering with Imperial College London’s Centre for Process Systems Engineering, and a Bachelors in Engineering (Honours) from the University of Auckland’s Department of Electrical and Computer Engineering.