Leo is a fourth-year Ph.D. candidate working with Professor Tina Eliassi-Rad. He is broadly interested in the intersection of Network Science, Complexity Science, and Mathematics. He studies complex networks by applying different fields of mathematics, such as differential and metric geometry, and algebraic topology; and different computational approaches such as graph mining and machine learning. Currently, his main research focus is to introduce novel mathematical tools to the network science toolbox, and design efficient algorithms around them to uncover previously unknown features of networks. Leo has a B.S. in Mathematics from Pontificia Universidad Católica del Perú, and has held positions as Mathematics instructor at the undergraduate level, Spanish teacher, and research programmer at Wolfram Research South America.