Advisory Board and Editors Computational Biology
Goo Jun
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.
Bishoy Kamel
I am currently a scientist at the Joint Genome Institute at Lawrence Berkeley National Laboratory. Working on a diversity of topics, including evolution, genomics, metabolic modeling, host-parasite interactions, and biosurveillance.
Mikko Karttunen
Canada Research Chair (Tier 1) in Computational Materials and Biomaterials Research and Professor of Chemistry & Applied Mathematics at the University of Western Ontario. Leader of the Computational and Theoretical Biological Physics & Chemistry Group. Affiliate of the Perimeter Institute for Theoretical Physics at Waterloo.
Selected Awards: Ontario Early Reseachers Award, NSERC Discovery Accelerator, EU DEISA Extreme Computing, Distinguished Research Professor, Academy of Finland Fellowship
Lydia E Kavraki
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 biomedciine. 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.
Clement Kent
Dr. Clement Kent is a an Adjunct Professor at York University, Toronto, Canada. He has prior background math and computing; but since 2005 his research interests have focused on behavioral genetics and genomics, for both fruit flies and social insects, primarily honeybees, as well as conservation of pollinators.
Hossein Khiabanian
Hossein is an Associate Professor of Pathology in the Division of Medical Informatics at Rutgers Cancer 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.
Elizabeth G King
Assistant Professor of Biological Sciences, University of Missouri. The goal of our research is to explain the diversity of life history strategies among organisms. We primarily, though not exclusively, use insect model systems for our research.
Julia Kzhyshkowska
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.
Carmelo La Rosa
Carmelo La Rosa is a Professor of Physical-Chemistry at the University of Catania, Italy. He received a master’s degree in Chemistry and Ph.D. in Physical-Chemistry from the University of Catania (Italy), working on lyotropic liquid crystals. After completing postdoctoral training on thermodynamics and kinetics of protein folding-unfolding at the University of Catania and Leiden University (The Netherland), he joined the department of Chemical Sciences, University of Catania. His current research focuses on the biophysics of amyloidogenic proteins and their interaction with model membranes.
Hilmar Lapp
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.
Brittany N Lasseigne
Brittany N. Lasseigne, PhD is an Assistant Professor of Cell, Developmental and Integrative Biology at The University of Alabama at Birmingham School of Medicine. She trained in Biotechnology, Science, and Engineering at Mississippi State University (B.S.) and the University of Alabama in Huntsville (Ph.D.) and completed a postdoctoral fellowship in genetics and genomics at the HudsonAlpha Institute for Biotechnology.
Her lab develops and applies genomic- and data-driven strategies (including single-cell and long-read sequencing) to discover biological signatures that might be used to improve patient care and provide insight into the cellular and molecular processes contributing to disease, especially for diseases impacting the brain and/or kidney. Their recent work includes prioritizing drug repurposing candidates for cancers and polycystic kidney disease, evaluating preclinical models and cross-species transcriptomic signatures to improve disease modeling, and applying single-cell and long-read technologies to neurological disease tissues to understand the role that context plays in disease etiology, progression, and treatment.
The Lasseigne Lab is currently focused on integrating genomics data, functional annotations, and patient information with machine learning and regulatory network approaches across diseases that impact the brain or kidney to discover novel mechanisms in disease etiology and progression, identify genome-driven therapeutic targets and opportunities for drug repositioning and repurposing, determine clinically-relevant biomarkers, and understand how cellular context contributes to these diseases. Collectively, these distinct projects all apply genetics and genomics to human diseases and build tools to accelerate future research. Their lab also develops data science software and analytical pipelines that are open-source, well-documented, and hosted by third-party code distributors, critical for facilitating reproducibility and enabling the research community to use the methods they develop.
Gerard R. Lazo
Geneticist with the Crop Improvement and Genetics Research Unit, Agricultural Research Service, Western Regional Research Center, Albany, CA, USA.