PharmD graduate with a deep passion for computational biology,
computational chemistry, and drug discovery. My work sits at the
intersection of pharmacy, chemistry, and data-driven science,
where I use in silico methods to explore new therapeutic strategies.
I love designing and developing digital tools that make medication
use safer and smarter — building technology that genuinely improves
healthcare outcomes.
For my PharmD thesis, I focused on drug repurposing — specifically
investigating anthelmintic drugs for chronic myeloid leukemia (CML).
I combined molecular docking, molecular dynamics (MD) simulations,
and density functional theory (DFT) to evaluate binding mechanisms,
stability, and electronic properties of candidate compounds.
My Github and
portfolio showcase
projects in computational chemistry, drug design simulations, and related
data analysis workflows.
I'm now preparing to apply for a PhD program in Medicinal Chemistry,
aiming to further develop computational and experimental strategies for
drug discovery, particularly in targeting cancer and neglected diseases.