Hi,
I’m Amir Hossein Gholizadeh,
a 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.
My work sits at the intersection of pharmacy and tech — I love designing and developing digital tools that make medication use safer and smarter. At my core, I’m driven by one thing — building technology that genuinely improves healthcare outcomes. Whether it’s through coding, design, or innovation, I aim to create tools that make a meaningful difference for patients and professionals alike.
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. This project strengthened my skills in computational modeling, bioinformatics, and rational drug design.
My Github and portfolio showcase projects in computational chemistry, drug design simulations, and related data analysis workflows. These repositories reflect my growing expertise in computational approaches to medicinal chemistry problems.
I’m now preparing to apply for a PhD program in Medicinal Chemistry, where I aim to further develop computational and experimental strategies for drug discovery, particularly in targeting cancer and neglected diseases. My long-term goal is to contribute to translational research that bridges computational insights with real-world therapeutics.
Research papers, preprints, and computational studies in medicinal chemistry, drug repurposing, and computational biology.
Biology
Investigating the potential of anthelmintic drugs as alternative therapies for CML using in silico approaches, including molecular docking, molecular dynamics simulations, and density functional theory to evaluate binding mechanisms and stability.
Projects I've coded, with repo and notes.
Books I've read, with reviews and notes. Each cover links to a longer take.
GitHub
Telegram
Twitter
LinkedIn
