Senior Investigator at Gladstone Institutes, Professor of Biomedical Data Science at Stanford University. My group develops statistical models and methods for high-dimensional genomic data, modeling human genetic variation and its impact on gene expression and splicing, with the goal of identifying mechanisms of human disorders and diseases.
I am a computer scientist and a microbial ecologist. I develop algorithms and software platforms to make sense of the ecology of microbes through marker genes, metagenomes, and metatranscriptomes.
Jason joined the faculty at UCLA in the Department of Biological Chemistry, the Computer Science Department, and the Bioinformatics Program in 2012. Prior to that, he was a postdoctoral fellow in Manolis Kellis' Computational Biology Group in the Computer Science and Artificial Intelligence Laboratory at MIT and affiliated with the Broad Institute. In 2008, Jason completed a PhD advised by Ziv Bar-Joseph where he was part of the Systems Biology Group, Machine Learning Department, and School of Computer Science at Carnegie Mellon University. Jason also earned BS degrees in Computer Science and Mathematics from the University of Maryland College Park. He is a member of the editorial board at Genome Research and has been a program co-chair for the ISMB Regulatory Genomics Special Interest Group (RegGenSIG) meeting. He is a recipient of a Sloan Fellowship, NSF Career Award, NSF Postdoctoral Fellowship, a Siebel Scholarship, and a Goldwater Scholarship.
Dr. Ana E. Escalante, a PhD in microbial ecology and evolution, has extensively studied microbial diversity and evolution in natural and engineered ecosystems. Since 2011, she has been at the National Laboratory of Sustainability Sciences (LANCIS), focusing on sustainability, particularly its implications for public policy and ecosystem management. With >50 scientific articles, numerous supervised theses, and teaching roles in multiple graduate programs. Since 2020 she serves as director of the Institute of Ecology at the National Autonomous University of Mexico (UNAM).
Assistant Professor of Plant Biology and Ecology, University of Seville (Spain). Past postdoctoral researcher at Doñana Biological Station (CSIC, Seville, Spain), at the Field Museum of Natural History of Chicago (Illionois, USA) and at The Morton Arboretum (Lisle, Illinois, USA). Past PhD student at University Pablo de Olavide (Seville, Spain).
Associate Professor of Biological Sciences at Louisiana State University and Research Associate as the LSU Museum of Natural Sciences. Research interests include population and evolutionary genomics of non-model organisms; community genomics; genotype-phenotype interactions; (immuno-)genetic basis of mate choice; mating behavior; social behavior; and natural history.
Professor in Genomics and Molecular Biology. My main research interests are antimicrobial peptides, microRNAs and the epigenetic regulation of myogenic gene networks by environmental factors, such as temperature and photoperiod.
Assistant Professor of Bioinformatics and other disciplines at the Federal University of Itajuba, Brazil. She conducts research in the field of diversity and evolution of unicellular eukaryotes, with a special focus on the phylum Ciliophora. She is experienced in DNA metabarcoding analysis, molecular clock and protist phylogenomics.
Dr. Carlos Fernandez-Lozano is an Associate Professor at the University of A Coruña (UDC). He is a biomedical data scientist with a deep interest in discovering the complex relationships between different biological levels. His research track is multidisciplinary as he is trained in computer science, machine learning, bioinformatics, and biostatistics. His research line is focused on how biological interactions are manifested at the disease level through the use, development, and application of kernel-based computational approaches that integrate different levels of biological data on the microorganism, gene, protein, and medical imaging axis.
Pedro G. Ferreira graduated in Systems and Informatics Engineering from the University of Minho in 2002 and obtained his Ph. D. in Artificial Intelligence from the same University in 2007. From 2008 to 2012, he was a Postdoctoral Researcher at the Bioinformatics and Genomics Laboratory, Centre for Genomic Regulation, Barcelona. From 2012 to 2014, he was a Postdoctoral Fellow the Functional Population Genomics and Genetics of Complex Traits group, School of Medicine, University of Geneva. He has been involved in several large international consortia including: ICGC-CLL, ENCODE, GEUVADIS, SYSCOL and GTEx. He published several papers in high impact journals, including the multidisciplinary journals: Nature, Science, Nature Communications, Scientific Reports, PNAS and eLife. Other papers have been published in high impact specialized journals including Genome Biology, Genome Research, American Journal of Human Genetics, Nature Cell Biology, RNA or Leukemia. He is the author of 3 book chapters and 2 books. He has an h-index of 31, with a total > 32 000 citations. In 2015, he was awarded an FCT Investigator Starting grant and he joined Ipatimup/i3s. He was awrded the Research Award 2015 and 2019 from Portuguese Society of Human Genetics - SPGH and the Microsoft Azure Research Award for Data Science 2017. He is a partner in a bioinformatics data analysis company with national and international clients, including hospitals, diagnostic clinics and research centres. From 2015 to 2018, he was an invited assistant professor at the Department of Informatics at the University of Minho, where he taught bioinformatics and data analysis at master's level. He has been involved in the final supervision of 1 postdoctoral fellow, 2 PhD students, 22 Masters students and 3 research assistants, and in the ongoing (main and co-) supervision of 5 PhD students and 5 Masters students. He was the director of the Masters and Specialisation in Bioinformatics and Computational Biology (2020-2023). He has experience in the genomics start-up environment, where he developed information systems for personal genomics data interpretation. He is currently an Assistant Professor (since 02/2019) with Habilitation (since 10/2022) at Department of Computer Science, Faculty of Sciences of the University of Porto and a Senior Researcher at the Artificial Intelligence and Decision Support Group at INESCTEC. He is currently the Director of the Bachelor in Bioinformatics and Adjunct Director of the Bachelor in Artificial Intelligence and Data Science. His main research focus is on developing methods for a variety of problems in genomic data science. In particular, he is interested in unravelling the role of genomics in human health and disease. To achieve this goal, he applies and develops data analysis models using machine learning and probabilistic methods to analyse and interpret diverse, complex and large-scale genomic datasets.
Reader in Biology and Director of the Scottish Oceans Institute, at the University of St Andrews.
The focus of our research is the connection between the content and organisation of genomes to the evolution of development (evo-devo). We utilize a variety of organisms in our research (including amphioxus, sea squirts, polychaetes and priapulids), chosen from key points in the phylogeny of the animals to enable reconstruction of the ancestral conditions at major nodes in the animal kingdom; the origin of bilaterians, protostomes, deuterostomes, chordates and vertebrates.
I studied Statistics and Computer Sciences at the Technical University of Dortmund, Germany. During that time, my interest was particularly in mathematical statistics with a focus on high-dimensional extensions of the univariate median. After graduating, I moved to Tampere, Finland and completed my PhD in at the University of Tampere in Biostatistics with minor Bioinformatics.
While still being enrolled as PhD student at the University I started to work as a researcher in Bioinformatics at the MTT, Jokioinen, Finland. Since 2015 I am working at the Natural Resources Institute Finland (Luke) where I finalized my PhD.
My published articles in peer-reviewed journals cover a wide range of applications as well as statistical theory. My areas of expertise are target gene detection, biomarker identification and novel gene detection with a special focus on long non-coding RNAs. Further, I have experiences in the development of statistical methods for DE testing as well as deriving novel non-parametrical tests for (e)QTL analyses. I published and maintain currently six R-packages, i.e. for (e)QTL testing, cross-species ortholog detection and dimension reduction methods.