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I am a postdoc at Caltech in the lab of Anima Anandkumar. My research focuses on deep learning theory, neural solvers for PDEs, and generative modeling/sampling. I did my PhD in the group of Philipp Grohs at the University of Vienna. During my PhD, I interned at Meta, conducting research on generative modeling in the context of neural compression. I also did an internship at NVIDIA, where I worked on active and semi-supervised learning for object detection in autonomous driving.