Cathy WuDirector of the Center for Bioinformatics & Computational Biology, University of Delaware
Dr. Cathy Wu is the Edward G. Jefferson Chair and Director of the Center for Bioinformatics & Computational Biology, and Founding Director of the Bioinformatics Master’s, PhD and Graduate Certificate programs at University of Delaware. She is also Director of the Protein Information Resource (PIR) and Professor at Georgetown University. She has conducted bioinformatics and computational biology research for 25 years. She leads or co-leads several multi-institutional Consortium projects, including the international UniProt Consortium, Protein Ontology Consortium, and BioCreative Consortium, and also a funded member of the NIH Big Data to Knowledge network. Dr. Wu serves on many advisory boards, including the Board of Directors of ACM SIGBio (Association for Computing Machinery) and USHUPO (Human Proteome Organization) and the NIH National Advisory General Medical Sciences Council, as well as service on several journal editorial boards and over 60 international conference organizing committees. Recognized as a “Highly Cited Researcher” (top 1%), she has published more than 250 peer-reviewed papers with over 26,000 citations, along with 14 books, conference proceedings and journal special issues. Dr. Wu’s research encompasses genomic and protein annotation, biomedical text mining and ontology, systems biology, and big data analytics in precision medicine.
Steven E. BrennerProfessor at the University of California, Berkeley
Dr. Brenner’s undergraduate research was in the first genome laboratory, mentored by Walter Gilbert at Harvard. He received his M.Phil. from the Department of Biochemistry at Cambridge University, and earned a Ph.D. from the University of Cambridge and the MRC Laboratory of Molecular Biology where he studied with Cyrus Chothia. After graduation, Brenner had a brief fellowship at the Japan National Institute of Bioscience, followed by postdoctoral research supervised by Michael Levitt at Stanford University School of Medicine.
Dr. Brenner’s research is primarily in the area of computational genomics, covering topics in individual genome interpretation, protein structure, RNA regulation, and function prediction. Brenner has a commitment to supporting open science and development of the scientific community. He is also currently a director of the Human Genome Variation Society and is a founding editor of PLoS Computational Biology. He was founding chair of the Computational Biology graduate program at Berkeley. He has served two terms as a director of the International Society for Computational Biology, was founding chair of the Global Alliance for Genomics and Health’s Data Working Group Variant Annotation Task Team and was a founding director of the Open Bioinformatics Foundation. His recognitions including being a Miller Professor, a Sloan Research Fellow, a Searle Scholar, an AAAS Fellow, an ISCB Fellow, and the recipient of ISCB’s Overton Prize.
Zhiyong Lu, PhDhttp://www.ncbi.nlm.nih.gov/research/bionlp
Deputy Director for Literature Search/Senior Investigator
National Center of Biotechnology Information (NCBI)/National Library of Medicine (NLM)/National Institutes of Health (NIH)
Dr. Lu is the NCBI Deputy Director for Literature Search at the National Institutes of Health (NIH), leading its overall efforts (in both research and engineering) to improve search quality and usability in NCBI production resources such as PubMed & PubMed Labs. He was the first NIH Earl Stadtman Investigator in bioinformatics and computational biology and is now a Senior Investigator (with tenure) directing NCBI’s Text Mining Research Program. Over the years, his research group has developed a number of widely used software tools (e.g. PubTator and DNorm) for mining the scientific literature and electronic medical records. Dr. Lu is an Associate Editor for BMC Bioinformatics, Journal of Health Informatics Research, and serves on the editorial board for the Journal Database. He is an organizer of the international BioCreative text-mining challenge and has authored over 140 publications since 2004.
Henning HermjakobEuropean Bioinformatics Institute (EMBL-EBI)
Henning Hermjakob leads the Molecular Systems Cluster at the European Bioinformatics Institute, and since August 2015 has a joint appointment as Director of Bioinformatics at the National Center for Protein Sciences, Beijing. His team provides a broad portfolio of resources for systems biology, ranging from molecular interactions (IntAct) and curated pathways (Reactome)[2-3] to systems biology models (BioModels) at the highest level of abstraction. Supporting the domain-specific resources, his team develops broad-scope data infrastructure resources identifiers.org  and the Omics Discovery Index . As founding member and co-chair of the HUPO Proteomics Standards Initiative, and SAB member in systems and translational molecular biology projects, he contributes to the international standardization of data representation in molecular biology, and the implementation of community standards in high availability, stable public resources [7,8].
- Orchard S, et al. The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases. Nucleic Acids Res. 2014 Jan;42(Database issue):D358-63.
- Sidiropoulos K, et al. Reactome enhanced pathway visualization. Bioinformatics 2017 Jul; btx441.
- Fabregat A, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7.
- Chelliah V, et al. BioModels: ten-year anniversary. Nucleic Acids Res. 2015 Jan;43 (Database issue):D542-8.
- Sarala Wimalaratne, et al. Uniform Resolution of Compact Identifiers for Biomedical Data. bioRxiv 101279.
- Perez-Riverol Y, et al. Discovering and linking public omics data sets using the Omics Discovery Index. Nat Biotechnol. 2017 May 9;35(5):406-409.
- Orchard S, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012 Mar 27;9(4):345-350.
- Vizcaíno JA, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014 Mar 10;32(3):223-6.