Pedram Hassanzadeh

In this discussion, Pedram Hassanzadeh, a researcher at the University of Chicago, dives into how AI is revolutionizing weather forecasts for smallholder farmers in vulnerable regions. He explains the limitations of traditional physics-based models and how pattern-matching AI can provide tailored, actionable predictions. The conversation also covers the democratization of weather science and the importance of feedback from farmers to improve these models. Ultimately, they explore how accurate forecasts not only enhance agricultural decisions but could also save lives.