Jordi Abante

Profile summary

In 2014, Jordi received his 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, Jordi 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 Departments of Biomedical Sciences (Canals lab) and Mathematics and Computer Science at Universitat de Barcelona (Radeva lab), where he develops methods for multimodal single-cell data to study brain development and developmental alterations in Huntington’s disease. In September 2023, Jordi was appointed Lecturer (Professor Associat) at the Mathematics and Computer Science department at UB.

Latest publications

Jordi Abante has 19 publications on Google Scholar.
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