The Fellows Selection Committee (FSC) is comprised of no more than nine Fellows composed of a diverse (gender, ethnicity, scientific expertise, geography, Fellow type, etc.) group of Fellows. The role of the FSC is to execute the ISCB Fellows election process. The committee shall take into consideration all requirements and criteria that have been established for the ISCB Fellows program (https://www.iscb.org/fellows), while taking into consideration the importance of equity, diversity, and inclusion in representing our scientific field. The end result of the committee’s work will be the Class of Fellows for the ISCB Board of Directors ratification.
The 2024 Fellows Selection Committee:
Chair: Ben Raphael
Ben Raphael is a Professor of computer science at Princeton University. His pioneering research focuses on developing innovative algorithms to decipher complex biological data, advancing our understanding of genomics and cancer biology.
Paul Flicek is the Chief Data Science Officer at The Jackson Laboratory and Honorary Professor of Genomics and Computational Biology at the University of Cambridge. His work focuses on comparative approaches to understand genome biology, transcriptional regulation and human disease. During his career, he has worked on aspects of genome annotation, comparative genomics, and large-scale biological data generation projects. Notably, his team developed Ensembl, a leading resource for reference genomics data, and launched the European Genome-phenome Archive of human data consented for biomedical research.
Hanah Margalit is a Professor in the Faculty of Medicine at the Hebrew University of Jerusalem. She studies regulation of gene expression by non-coding RNAs and its integration with transcription regulation and post-transcriptional regulation by endoribonucleases. Her laboratory is interdisciplinary, combining state-of-the-art wet-lab experiments and advanced computational analyses.
Laxmi Parida is an IBM Master Inventor and group leader in computational genomics at the Thomas J. Watson Research Center and Courant Institute of Mathematical Sciences in New York. She spearheads innovative research initiatives in the areas of Computational genomics, Pattern Discovery, Design and Analysis of Algorithms, Population Genomics, Comparative Genomics, NGS Analysis, Bioinformatics, Cancer Genomics, and Topological Data Analysis.
Mihai Pop is a Professor and Director at the University of Maryland Institute for Advanced Computer Studies (UMIACS). His research interests cover several areas of bioinformatics, primarily related to the development of computational algorithms for analyzing biological data generated through high-throughput experimental techniques, such as sequencing technologies.
Tandy Warnow is Associate Head, Department of Computer Science, at the University of Illinois at Urbana–Champaign. Her research combines computer science, statistics, and discrete mathematics, focusing on developing improved models and algorithms for reconstructing complex and large-scale evolutionary histories.
Shoshana Wodak is a Professor and visiting Group Leader at the Vlaamse Institute for Biotechnology (VIB), Flemish Free University of Brussels. She is a pioneer in docking algorithms for protein interactions. She identified structural motifs in proteins, defined domains, and investigated the role of local interactions in protein stability and folding. Her teams developed computational protein design methods, simulated reactions and interactions in protein systems, and analyzed cellular pathways and protein networks.
Martin Vingron is a Director at the Max Planck Institute for Molecular Genetics. Renowned for pioneering research in computational biology, he focuses on gene regulation, genome analysis, and algorithm development. Vingron's work significantly impacts understanding genetic mechanisms and their implications in health and disease.
Xuegong Zhang is the Director of the Bioinformatics Division at BNRIST (Beijing National Research Center for Information Science and Technology) and Professor at Tsinghua University. His work is pivotal in shaping the landscape of Machine Learning, Pattern Recognition, Bioinformatics and Computational Genomics. His interdisciplinary approach has facilitated the mining of faint signals from few samples and the integration of diverse datasets to model and simulate complex biological processes, enabling us to comprehend life at a cellular and molecular level.