M. Sharafi

Machine learning and hypothesis driven optimization of bull semen cryopreservation media

This paper uses machine learning to optimize bull semen cryopreservation media, improving post-thaw motility from 52.6% to 68.3%.

A Generative Approach toward Precision Antimicrobial Peptide Design

This paper develops a generative model to design antimicrobial peptides with high activity and selectivity, validated through molecular simulations and experimental testing.