MY RESEARCH
My research interests and experience lie in computational astrophysics, where I build tools to turn raw observational data into structured, analyzable datasets. This includes developing pipelines for galaxy subtraction and stellar detection in crowded fields, constructing and modeling multi-wavelength SEDs for AGN, and reducing JWST spectroscopic data to study atmospheric features in brown dwarfs
Cataclysmic Transient Events in M31
Project description incoming...
Dust and Obscuration in AGN Host Galaxies
Project description incoming...
Atmospheric Clouds in Warm Extrasolar Worlds
Silicate clouds in the atmospheres of warm brown dwarfs (1400–1800 K) produce a prominent spectral feature in the mid-infrared. Analysis of this spectral feature indicates that clouds are more concentrated at the equator than at the poles. This cloud structure may influence the observability of molecular species such as water vapor. We present an analysis of mid-infrared spectra for L-type brown dwarfs obtained with JWST/MIRI (MRS and LRS) and archival Spitzer/IRS. Using the Spectral Energy Distribution Analyzer tool (SEDA), we compute silicate and water spectral indices defined as flux ratios between feature and continuum regions. Our measurements reveal a statistically significant anti-correlation between silicate absorption strength and water-band depth: sources with deeper silicate features consistently exhibit weaker water absorption. This relationship suggests that silicate clouds obscure water vapor in layers deeper than those where clouds reside. We explore how this relationship depends on inclination, age, temperature, and metallicity. These results provide new insights on the role of clouds in shaping brown dwarf spectra and highlight their importance as analogs for cloudy exoplanet atmospheres.
