Climate prediction using Machine Learning | Shreya Agrawal, Software Engineer, Google

Shreya Agarwal is a Software Engineer at Google working on weather and climate modeling research using Machine Learning and Deep Learning techniques. She graduated from University of Waterloo with a Master of Mathematics in CS and prior to that she did her bachelors from DAIICT. We will be talking about her insights into this field of research, how exactly is AI used for climate prediction, what are the open challenges and directions, how she transitioned to this research role and many other topics. Time Stamps 00:00:00 Introductions 00:01:14 Background prior to joining Google 00:02:40 To pursue a PhD vs joining Industry 00:06:10 Current and Past projects you’re working on 00:07:58 How is AI and Machine Learning used in Climate modeling? 00:13:55 How is the data & architecture setup for temporal prediction in weather modeling? 00:18:34 Are Machine Learning methods better than traditional methods for weather forecasting? 00:23:47 Interpretability & Explainability