Aditya Grover leads the Machine Intelligence group, which develops AI systems that can interact and reason with limited supervision. His current research is at the intersection of generative models and sequential decision-making. He applies this research to support the development of systems and software for data-driven scientific discovery, particularly in the climate and sustainability domains, via the ML4Climate initiative.

Before joining UCLA, he spent a gap year as a research scientist in the Core ML team at FAIR, Meta. He completed his postdoctoral training at UC Berkeley, his PhD at Stanford University, and his bachelor's degree at IIT Delhi, all in computer science. While working on his PhD, he spent summers interning at Google Brain, Microsoft Research, and OpenAI.