Dr. Hsueh-Fen Juan a Professor in the Department of Life Science, Institute of Molecular and Cellular Biology and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taiwan. Her research interest focuses on cancer systems biology including integrating transcriptomics, proteomics and bioinformatics for biomarker and drug discovery.
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.
Professor of Chemistry at University of Waterloo. Leader of the Computational and Theoretical Biological Physics & Chemistry Group. Affiliate of the Perimeter Institute for Theoretical Physics at Waterloo.
I'm a departmental fellow in Systems Biology at Harvard Medical School and the Berkman Klein Center for Internet & Society. My scientific interests are at the interface between artificial intelligence and biology.
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and translational bioinformatics. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Hossein is an Assistant Professor of Pathology in the Division of Medical Informatics at Rutgers Cancer of Institute of New Jersey. His group develops novel analytical methods to understand the underlying genetics of human diseases and the molecular epidemiology of disease-causing organisms using high-throughput genomic data. The group is especially interested in studying tumor clonal evolution, and identifying prognostic markers in cancer, particularly in hematological malignancies. Hossein received his Ph.D. in Physics from Brown University, where he studied galaxy clusters and dark matter structures, using weak gravitational lensing. Prior to joining Rutgers, he was a member of the faculty in the Department Biomedical Informatics at Columbia University.
Associate Professor, Computational Biology Department, School of Computer Science, Carnegie Mellon University, and Co-Associate Director, Joint CMU-Pitt Ph.D. Program in Computational Biology
Professor in the Department of Computer Science at the Virginia Commonwealth University. Research interests in the development and applications of high throughput computational methods in structural bioinformatics with focus on protein-ligand interactions, intrinsic disorder, and microRNAs. Area editor for structural bioinformatics of the BMC Bioinformatics, and member of editorial boards of Intrinsically Disordered Proteins, PLoS ONE, Neurocomputing and Protein and Peptide Letters journals.
Dr. Kyrpides is the Head of the Prokaryotic Super Program and the Microbiome Data Science Group at the DOE Joint Genome Institute. Prior to joining the JGI, Dr. Kyrpides led the development of the genome analysis and Bioinformatics core at Integrated Genomics Inc. in Chicago, IL. He did his postdoctoral studies with Carl Woese at the University of Illinois at Urbana-Champaign and with Ross Overbeek at the Argonne National Laboratory. He received the van Niel International Prize for Studies in Bacterial Systematics (2011-2014); Elected Fellow: AAM
1997: PhD Cancer Research Centre of the Russian Academy of Medical Sciences, Moscow.
1997-2001: Postdoc at the University of Regensburg
2001-2007: Junior group leader/PI and lecturer, University of Heidelberg.
2007- 2010:Senior group leader/PI and senior lecturer, University of Heidelberg
2010-2013: Professor, head of the Lab for Cellular and Molecular Biology of Innate Immunity;
2013-permanent: Professor, head of Department for Innate Immunity and Tolerance, University of Heidelberg.
Aside from my role as Director of Informatics at Duke University's Center for Genomic and Computational Biology (GCB), I am a PI for the NSF-funded project on creating a model and standard for phyloreferencing (http://phyloref.org), and I am a co-PI of the (also NSF-funded) Phenoscape project (http://phenoscape.org) on ontological annotation of evolutionary phenotype observations. I am a co-founder and current Board of Directors member of Data Carpentry (http://datacarpentry.org), and I was part of the founding team for Dryad (http://datadryad.org), a digital repository for data supporting scientific publications. I have also served in the leadership of the Open Bioinformatics Foundation (OBF) since its inception in 2001.
Before joining Duke's GCB, I was at the US National Evolutionary Synthesis Center (NESCent), where I initiated many of NESCent's cyberinfrastructure initiatives aimed at grass-roots building of community capacity, including the NESCent's hackathon program and Google Summer of Code™ (GSoC) participation.
Head of computational biology and the genetics and rare disease program at the Telethon Kids Institute. Interested in sequence analysis, large scale data integration and medical genomics. Past: RIKEN, Karolinska Institute, King's College London.