about jordi

In 2014 Jordi received a BS in Industrial Engineering (power electronics and signals) from the Universitat Politècnica de Catalunya in Barcelona. After graduating, he went on to obtain an MS from the Electrical & Computer Engineering department at Texas A&M University. There, he joined the Center for Bioinformatics and Genomic Systems Engineering, where he was involved in several computational genomics research projects (Datta lab). In 2015, he was awarded the “la Caixa” fellowship to pursue research in computational genomics during his Ph.D. as a member of the Goutsias lab, developing computational methods to study epigenetic signatures in close collaboration with the Feinberg lab of the Johns Hopkins University School of Medicine. In addition to his research and Ph.D. coursework, he earned an MS focused on statistical learning from the Applied Mathematics & Statistics department at Johns Hopkins University in 2018. After successfully defending his dissertation entitled “Statistical Signal Processing Methods for Epigenetic Landscape Analysis” in May 2021, he joined the Biomedical Data Science Department at Stanford University (Salzman & Ioannidis lab) as a Postdoctoral Research Fellow being awarded the Stanford Center for Computational, Evolutionary and Human Genomics postdoctoral fellowship. In January 2023, he became a Postdoctoral Researcher in the Department of Biomedical Sciences (Canals lab) and the Department of Mathematics and Computer Science at Universitat de Barcelona (Radeva lab), where he started (and continues to this day) developing methods for multimodal single-cell data analysis to study brain development as well as developmental alterations in Huntington’s disease. In September 2023, he was appointed Lecturer at the Mathematics and Computer Science department at UB. In September 2024, he started his la Caixa Junior Leader fellowship in the Biomedical Sciences department at UB, where he is currently establishing his lab as a Ramón y Cajal fellow since September 2025.