Regular biography
Aditya Grover is an Assistant Professor in the Department of Computer Science at the University of California, Los Angeles. His research focuses on probabilistic machine learning for unsupervised representation learning and sequential decision making. Grover's work has been featured in several notable publications and media outlets, including NeurIPS and various technology news platforms. He has received several awards, including the AI2050 Early Career Fellowship, Forbes 30 Under 30 recognition, and the NeurIPS Outstanding Paper Award. His research has also been highlighted in publications such as Nature and Science magazine.
Scholar-generated biography
Aditya Grover is a professor at UCLA and co-founder & CTO of Inception. His research focuses on Generative AI, Machine Learning, and AI for Science. He explores methods for scalable feature learning in networks, reinforcement learning via sequence modeling, and the application of machine learning in scientific domains such as weather forecasting and battery optimization. His work includes developing foundation models for climate, generative modeling of graphs, and fair generative modeling techniques. Grover also investigates neural processes, meta-learning, and multi-agent systems, emphasizing the integration of deep learning with scientific challenges. His research bridges theoretical advancements in AI with practical applications in various domains.