My research integrates radio astronomy, computational imaging, and high-performance computing to develop robust end-to-end pipelines for next-generation telescopes. I work on method development, scientific software engineering, and data-driven astrophysical interpretation with an emphasis on reproducibility and scalability.

• Radio interferometry and image synthesis: deconvolution, calibration-aware reconstruction, and uncertainty analysis.
• Faraday tomography and compressed sensing: sparse reconstruction techniques for magneto-ionic structure studies.
• Cosmic magnetism: observational and methodological tools to characterize extragalactic and circumstellar magnetic environments.
• High-performance scientific computing: GPU-accelerated and parallel workflows for large astronomical datasets.
• Research software and pipelines: production-oriented systems for data quality control, reproducible analysis, and publication-ready outputs.