Shoubaneh Hemmati

Title: Staff Scientist

Room Number: KS-340A

Office Phone: 626-395-8681

Mail Code: 100-22

Email (@ipac.caltech.edu): shemmati

Research Interests: My research applies AI, machine learning, and deep learning to astronomical surveys, spanning the full data chain from detector characterization and calibration through image simulations, survey pipelines, and galaxy measurements to cosmological applications. I work across space- and ground-based imaging and spectroscopy, with particular focus on data-driven simulations, multi-wavelength analysis, and deep learning methods including generative approaches for image enhancement and super-resolution, source characterization, and uncertainty-aware inference. By connecting instrument-level systematics to science-level measurements, I aim to improve the fidelity, interpretability, and scientific return of current and future surveys.