Rajmund Nagy
PhD student at KTH Royal Institute of Technology, Sweden
I am a first-year PhD student at KTH Royal Institute of Technology, advised by Gustav Eje Henter.
My research is focused on deep generative models such as GANs, normalising flows and denoising diffusion models. I am currently working on developing new deep learning models to solve animation problems, such as humanoid motion synthesis. Previously, I worked on speech-driven gesture generation.
As a Master’s student in machine learning, I completed three internships at KTH in the Robotics, Perception, Learning and Speech, Music, Hearing departments. Before that, I was a C++ software engineer at evosoft Hungary. I obtained my Bachelor’s degree in Computer Science from Eötvös Loránd University, Budapest, with a specialisation in mathematical modelling.