Meg Rajendran

Meg Rajendran is a Solutions Architect at the NVIDIA AI Technology Center. Her research focuses on synthetic data generation and generative AI, and she works on bridging virtual and real-world environments using digital twin technologies. Meg investigates methods to address data scarcity by turning it into an optimization opportunity, and she explores applications of digital twin approaches in both academic and industry research. She has published at conferences like SIGGRAPH Asia, and co-organized events at conferences such as AAAI Summer Symposium, SIGGRAPH Asia.