The International Society for Computational Biology Names Eight Members as the ISCB Fellows Class of 2017

The International Society for Computational Biology (ISCB) has elected eight deserving scientists as Fellows of the ISCB. The ISCB Fellows program honors members that have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics. The ISCB Fellows Class of 2017 comprises:

  • Alex Bateman, European Bioinformatics Institute-EMBL
  • Andrea Califano, Columbia University
  • Daphne Koller, Stanford University
  • Anders Krogh, University of Copenhagen
  • William S. Noble, University of Washington
  • Lior Pachter, Caltech
  • Olga Troyanskaya, Princeton University
  • Tandy Warnow, University of Illinois, Urbana-Champaign


These individuals will be recognized for their contributions to computational biology and bioinformatics at the ISCB members meeting on July 24, 2017, during the Society’s 25th Anniversary annual international conference on Intelligent Systems for Molecular Biology (ISMB) in Prague, Czech Republic. They will receive a certificate and a pin as a symbol of their distinguished accomplishments.

The elected individuals will be part of the ISCB fellow class that increases now to 64 members (www.iscb.org/iscb-fellows).

The outcome of this year’s election is presented with tremendous pride. “ISCB Fellows represent the absolute pillars of our community,” stated Alfonso Valencia, ISCB President. Each of these very accomplished researchers has made exceptional contributions to the ISCB’s mission to advance the scientific understanding of living systems through computation. Valencia continued, “ISCB Fellows are an increasingly active group of the Society, driving the scientific excellence of our field and opening new avenues to our community.”

According to Bonnie Berger, 2017 ISCB Fellows Selection Committee, Chair, “the ISCB Fellows represent the full range of our field, from contributions that are fundamental to computation to those that reveal novel biology through computationally-minded analyses. We hope to further emphasize diversity of research, gender, and geography next year.”

Congratulations, 2017 Class of Fellows!