معرفی
Supranta Boruah is a Postdoctoral Researcher at the University of Pennsylvania's Department of Physics and Astronomy, affiliated with the Center for Particle Cosmology. He holds a PhD from the University of Waterloo, supervised by Mike Hudson and Ghazal Geshnizjani, and a BS-MS dual degree from the Indian Institute of Technology, Kanpur. Previously, he was a postdoc at the Arizona Cosmology Lab.
His research focuses on data-driven observational cosmology, including field-level inference for weak lensing data, machine learning applications in cosmological analysis, and peculiar velocity studies. Key projects include developing the KaRMMa code for mass map reconstruction, GAN-based weak lensing simulations, and ML emulators for accelerating 3x2pt analysis. He also investigates theoretical aspects of early universe cosmology, such as Cuscuton gravity modifications.
His work aims to optimize cosmological parameter constraints through novel statistical methods and better modeling of large-scale structure data. Collaborations include the LSST Dark Energy Science Collaboration.
