I am a Research Scientist in Efficient Generative AI at NVIDIA’s Deep Imagination Research Team, and a finishing PhD candidate at the Vrije Universiteit Amsterdam. My research interests include all aspects of efficiency in Deep Learning, particularly the computational and parameter efficiency of long-context models and their application to generative models. I am primarily interested in the development and parameterization of novel more efficient long-context models, e.g., Continuous Kernel Convolutions (CKConvs). Extensions of these models have found application in modeling context that extends to millions of tokens [ 1, 2].
