Benjamin Wu received his B.S. in physics and mathematics from Duke University and M.S. and Ph.D. in physics from the University of Florida. In 2016, he joined the Division of Theoretical Astronomy at NAOJ as a JSPS postdoctoral fellow researching massive star formation. In 2018, he participated in the NASA Frontier Development Lab, an AI research accelerator program to address challenges in space exploration. Afterwards, he rejoined NAOJ as a postdoctoral fellow with the ALMA Project. Since fall 2020, he has been an AI Research Resident with NVIDIA and research affiliate with NAOJ. At NVIDIA, he is part of the Learning and Perception Research group, which focuses on deep learning and computer vision research. He currently works on problems at the intersection of machine learning and astrophysics. His projects include sparse-to-dense image reconstruction from astronomical interferometry, physics-informed neural networks for fluid simulations, and deep learning vision applications for planetary rover autonomy.