Faraz Sarmeili is a PharmD candidate at Tehran University of Medical Sciences and a research assistant at the Data Science & Machine Learning Lab (DML) at Sharif University of Technology. His work centers on computational biology and machine learning, with experience in drug response prediction, cyclic peptide design, and biomedical data analysis. He has contributed to projects integrating machine learning, Rosetta-based modeling, and large language models for applications in drug discovery, protein design, and clinical decision support. Faraz is broadly interested in AI-driven tools for precision medicine and improving human healthcare.