Kenneth Lopez Perez

Kenneth is a final-year Ph.D. candidate at the University of Florida in the Miranda-Quintana lab. He is originally from Costa Rica, where he earned his bachelor's degree in chemistry. He began his cheminformatics research there, working on QSPR using machine learning. At the University of Florida, his work has focused on developing efficient cheminformatics software for clustering, with an emphasis on analyzing ultra-large molecular libraries. His research supports applications such as diversity selection, virtual screening, library comparison, test/train set splitting for machine learning, and the analysis of DNA-encoded libraries. Kenneth has also contributed to the development of efficient, diversity-aware reward functions for generative reinforcement learning models.