I’m Alejandro Medina, a Computer Science PhD student at Baylor University working at the intersection of AI/ML, evolutionary computation, and bioinformatics. My research centers on combining intelligent search methods with modern machine learning to understand complex biological systems, optimize models, and uncover patterns that traditional approaches miss. I’m driven by curiosity, creativity, and a deep desire to build tools that reveal something meaningful about the world. I am currently working on research related to modeling alcohol consumption in nonhuman primates, using evolutionary computation to aid in graph pruning for GNNs, and using diffusion generative models to reconstruct high-resolution chromatin contact maps from coarse Hi-C data. I also have other more fun side projects I enjoy working on while I take a break from my main research!