Farah Hariri

Dr. Farah Hariri leads the solutions architects team for NVIDIA AI Physics technologies, including the Earth-2 platform, as well as industry-focused solution architect teams for energy and financial services. Farah brings a broad technical background spanning theoretical and nuclear physics, climate and energy transition technologies, numerical modeling, and artificial intelligence. Prior to joining NVIDIA, she worked on climate and energy policy frameworks and led multiple projects at the European Organization for Nuclear Research (CERN), the Swiss Federal Institute of Technology (EPFL), and the French Alternative Energies and Atomic Energy Commission (CEA).
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Posts by Farah Hariri

Simulation / Modeling / Design

Turn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2

Weather-sensitive industries increasingly have access to observations that offer an earlier, more local view of changing conditions. Energy companies collect... 14 MIN READ
Simulation / Modeling / Design

Accelerate Clean, Modular, Nuclear Reactor Design with AI Physics

The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. Meeting these requirements... 12 MIN READ
Simulation / Modeling / Design

How to Unlock Local Detail in Coarse Climate Projections with NVIDIA Earth-2

Global climate models are good at the big picture—but local climate extremes, like hurricanes and typhoons, often disappear in the details. Those patterns are... 12 MIN READ
Simulation / Modeling / Design

How to Run AI-Powered CAE Simulations

In modern engineering, the pace of innovation is closely linked to the ability to perform accelerated simulations. Computer-aided engineering (CAE) plays a... 13 MIN READ
Data Science

Powering Flood Risk Assessment with NVIDIA Earth-2

Inland flooding causes significant economic and societal impacts annually. Of the eight natural disasters costing the insurance industry over $1 billion in... 13 MIN READ
Data Science

Spotlight: AXA Explores AI-Driven Hurricane Risk Assessment

Large ensembles are essential for predicting rare, high-impact events that cannot be fully understood through historical data alone. By simulating thousands of... 9 MIN READ