Daniel graduated in 2022 with a B.S. in Computational Biology and a minor in Machine Learning from Carnegie Mellon University. At CMU, Daniel worked in the lab of Prof. Andreas Pfenning on a method for studying the role of genomic regulatory elements in mammalian evolution, applied principally to the evolution of brain size. He also studied cancer microbiomes in the lab of Prof. Noam Auslander at the Wistar Institute. Daniel is broadly interested in many topics in the field of comparative genomics, with particular interest in the evolution of traits and cellular systems that in extreme forms manifest as or influence human diseases.