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个人简介
I am a Senior Research Scientist in the fundamental generative AI research team of NVIDIA Research. I am interested both in generative AI algorithm development and in applying deep generative models in areas such as representation learning, graphics, content creation and digital artistry. I am also interested in research that takes inspirations from physics to improve machine learning techniques as well as in applying state-of-the-art generative learning methods to problems in the natural sciences.
I am trained as a physicist and completed my master’s in quantum information theory. For my Ph.D. in computational and statistical physics, I developed multiscale models and sampling algorithms for molecular dynamics simulation. Before joining NVIDIA, I worked on deep generative learning at D-Wave Systems and I co-founded Variational AI, a startup leveraging generative modeling for drug discovery.
I am trained as a physicist and completed my master’s in quantum information theory. For my Ph.D. in computational and statistical physics, I developed multiscale models and sampling algorithms for molecular dynamics simulation. Before joining NVIDIA, I worked on deep generative learning at D-Wave Systems and I co-founded Variational AI, a startup leveraging generative modeling for drug discovery.
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CVPR 2023 (2023): 22563-22575
SIGGRAPH Coursespp.1-113, (2023)
CVPR 2023 (2023): 13756-13766
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