Summary
Urvashi Rau is a computational scientist with over 20 years of expertise designing and deploying image reconstruction and data-analysis algorithms for radio interferometry and radar imaging. At NRAO she has led the CASA imaging and flagging refactors, driven RFI mitigation and automation work using metrics-based reinforcement learning, and shaped operational software for multiple telescopes including ngRADAR and ngVLA planning. Her work spans inverse problems, wideband/wide-field imaging, and cross-disciplinary techniques bridging radio astronomy, medical imaging, and radar signal processing. Recognized with institutional awards and a continuing appointment, she combines hands-on algorithm development with technical leadership and product management of scientific software. An uncommon strength is translating rigorous linear-algebraic research into production-grade tools that scale to real observatory workflows.
21 years of coding experience
10 years of employment as a software developer
B.E.(Hons) Computer Science + M.Sc.(Hons) Physics, Physics and Computer Science, B.E.(Hons) Computer Science + M.Sc.(Hons) Physics, Physics and Computer Science at Birla Institute of Technology & Science, Pilani
University of California San Diego
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at New Mexico Institute of Mining and Technology