Arnav Bhatnagar

An overview of generative models (VAEs, GANs) applied to climate data, including mathematical foundations and practical implementations for synthetic climate data generation.

Explains deep learning techniques applied to climate prediction tasks and when neural networks outperform traditional models.

A technical walkthrough on climate data types, memory optimization, outlier detection, and building data workflows for climate data science.

Discusses using AI and machine learning to detect early signs of outbreaks and improve pandemic preparedness and response.

Personal account of learning neural network development, including experiences from internships and the evolution toward AI work.