Advisory Board and Editors Genomics
Daniel J. G. Lahr
I am interested in an array of questions regarding protistan evolution and diversity. I have worked in protistology since my 1st undergraduate year, then did a masters in taxonomy of testate amoebae and a PhD in evolutionary biology, focusing on amoebozoans. My research focuses on constructing phylogenetic trees to answer broad questions in the evolutionary biology of microbes.
Barbara L Langille
I am currently an Associate Research Scientist at the Huntsman Marine Science Centre, working in the Atlantic salmon breeding and genetics division. I am tackling various research projects that involve genomically characterizing qualitative and quantitative traits. I recently finished a postdoc position at the Bedford Institute of Oceanography, working on various population structure and evolutionary genetics projects. Specifically, I was focusing on mito-nuclear interactions in trans-Atlantic fish, environmental associations and population structure in cleaner fish, and structural variants.
Dr. Barbara Langille obtained a PhD from the University of Adelaide, where she investigated the regression of vision/eye genes in subterranean diving beetles, evaluated modes of speciation, and determined behavioral responses of eyeless beetles to light. Dr. Langille also obtained a MSc from Memorial University of Newfoundland and Labrador, where she investigated the refugial origins and hybridization of freshwater fish.
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.
Tong Geon Lee
Genetics, Genomics, Bioinformatics, Corn, Tomato, Soybean, Wheat-Rye Translocation
Elliot J Lefkowitz
Professor of Microbiology at the University of Alabama at Birmingham (UAB); Director of Informatics for the UAB Center for Clinical and Translational Science; Data Secretary of the International Committee on Taxonomy of Viruses (ICTV) and Editor-In-Chief of the ICTV Online (10th) Report on Virus Taxonomy. My research focuses on contributing to the understanding of microbial (especially viral) genomics and evolution by developing and utilizing computational tools and bioinformatics techniques to mine sequence and other data for significant patterns characteristic of function and/or evolution.
Liudmila P Leppik
Assistant Director, Frankfurt Initiative for Regenerative Medicine, J.W. Goethe-Universität, Friedrichsheim Orthopedic University Hospital.
Dr. Leppik’s research background is in the fields of molecular biology and virology in Russia and Germany. Specifically her research focused on human genome activity and regulation of gene expression during tumor genesis and development and differentiation. Her current research at FIRM focuses on tissue development and regeneration.
Suzanna E. Lewis
Staff Scientist at Lawrence Berkeley National Laboratory. Fellow of the American Association for the Advancement of Science. Joint winner, American Association for the Advancement of Science Newcomb Cleveland Prize for best paper of the year: "The genome sequence of D. melanogaster."
Cong-Jun Li
A molecular biologist in the Bovine Functional Genomics Laboratory, Agricultural Research Service, USDA. My research is focused on the interaction of nutrients and epigenomic regulation; analyze histone-DNA interaction in the bovine genome that is responsive to volatile fatty acid modulation to understand the functional roles of histone modification in gene expression regulation, cell cycle regulation, as well as rumen development.
Xing Li
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).
Jingyi Jessica Li
I am an Assistant Professor in the Department of Statistics and Department of Human Genetics at University of California, Los Angeles. I am also a faculty member in the Interdepartmental Ph.D. Program in Bioinformatics and a member in the Jonsson Comprehensive Cancer Center (JCCC) Gene Regulation Research Program Area. Prior to joining UCLA, I obtained my Ph.D. degree from the Interdepartmental Group in Biostatistics at University of California, Berkeley, where I worked with Profs Peter J. Bickel and Haiyan Huang. I received my B.S. (summa cum laude) from Department of Biological Sciences and Technology at Tsinghua University, China in 2007.