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ISCB Congratulates the 2021 Class of Fellows
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The ISCB Fellows program was created to honor members who have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics. Begun in 2009, 2021 marks the 12th anniversary of the program. In early December of each year, ISCB has sought Fellow’s nominations from our members, with eligibility restrictions based on selection criteria focused most heavily on the significance of scientific contributions.
We were pleased to receive many outstanding nominations this year, and the Fellows Selection Committee members carefully considered each one. Ultimately, thirteen nominees were elected as this year's newest Fellows.
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Atul Butte, University of California, San Francisco
At the forefront of translational medicine informatics, including public data mining, integrative genomics and drug repurposing.
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A. Keith Dunker, Indiana University School of Medicine
A pioneer of the development and application of statistical and computational methods to understand the prevalence, the patterns of evolution, and the functional repertoire of intrinsically disordered proteins across all domains of life.
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Eran Halperin, University of California, Los Angeles
Transformative work in the field of computational genomics through novel algorithms and theory that has enabled large-scale studies of genetic variation data.
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Wolfgang Huber, European Molecular Biology Lab (EMBL)
Co-founder of Bioconductor, which provides robust software that ensures use and fosters collaboration, and outstanding research in the meticulous modelling of stochastic and systematic sources of variation in a data generating technology and state-of-the-art statistical methods to infer parameters from data.
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Sorin Istrail, Brown University
Foundational contributions to computational biology, including physical mapping, protein folding, sequencing the human genome, haplotype phasing and assembly, and regulatory genomics, as well as launching the RECOMB conference and JCB.
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Christina Leslie, Memorial Sloan Kettering
Recognized as bringing rigorous statistical machine learning techniques to computational biology, including basic science and clinical settings, as well as major contributions to conferences and consortia.
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Ming Li, University of Waterloo
Fundamental, impactful contributions to computational biology and bioinformatics including linear approximation and optimized spaced seeds, and introducing deep learning to proteomics, significantly improving neoantigen de novo sequencing for cancer immunotherapy.
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Nuria Lopez Bigas, Institute for Research in Biomedicine Barcelona
Leading innovator in computational cancer biology who has been instrumental in understanding the effects of chemotherapeutics on cancer and optimizing treatments to support translational interpretation for clinical applications.
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John Moult, University of Maryland
Major contributions to protein fold prediction and impact of sequence variation on protein structure and function, as well as his organization of Critical Assessments, most notably CASP and also CAGI, to tackle grand challenges in biology.
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Dana Pe'er, Memorial Sloan Kettering
Extraordinary record of scientific accomplishments through combining rigorous foundational machine learning with a deep understanding of biology, including contributions that have revolutionized the space of molecular interaction inference and single cell analysis, with applications to cancer and other diseases.
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Teresa Przytycka, National Center for Biotechnology Information, National Institute of Health
Recognized for her fundamental algorithmic contributions to a wide range of problems in computational systems biology, especially in network analysis, network-based approaches to uncover disease genes, network reconstruction, regulatory roles of DNA conformation dynamics and RNA aptamer analysis.
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Eytan Ruppin, National Cancer Institute, National Institutes of Health
Numerous contributions to neuroscience (neural modeling of brain disorders), neural computing (reinforcement learning dynamics and language learning), computational systems biology and computational study of cancer metabolism, including his work on synthetic lethality (SL), leading to the discovery of the first metabolic SL drug target to treat cancer.
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Gustavo Stolovitzky, IBM Research
Pioneer in the use of crowdsourcing in computational biology, providing a unique service to the community and creating resources and benchmarks that led to breakthroughs in network biology, cancer genomics and translational biomedicine; founder of the DREAM Challenges; and instrumental involvement in the growth of the Computational Biology Center at IBM, establishing the Systems Biology program, and creating the Nanobiotechnology program that leveraged the vast IBM resources in microelectronics for genomics research.
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ISCB will be honoring the 2021 Class of Fellows during the ISMB/ECCB 2021 virtual conference.
Congratulations, 2021 Class of ISCB Fellows! |
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