Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
Diego Raphael Amancio is an Associate Professor at University of São Paulo (Brazil). His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.
Professor, Division of Environmental and Biomolecular Systems and Director, Center for Coastal Margin Observation & Prediction, both at the School of Medicine, Oregon Health & Science University.
Research interests are in understanding how coastal margins function under the complex influence of rivers, ocean, climate and humans – and how to integrate such understanding in broad-range societal decisions on sustainable development.
Professor in Scientific Computing; Training as an evolutionary biologist working with water frogs in the Mediterranean Sea; Distributor of the Bayesian population genetics inference program MIGRATE.
Interested in computational biology, in particular in computational population genetics and phylogenetics
Matthew Belmonte's research asks how domain-general cognitive capacities shape the developmental emergence of both social and non-social perception, cognition and action -- giving rise to individual differences therein and autistic disorders thereof. Applying both cognitive neuroimaging (EEG/ERP and fMRI) and behavioural methods, Belmonte enunciated the now widely accepted and supported theory of dysconnectivity within and between autistic neural and cognitive networks, in which differences of local neural network entropy perturb activity-dependent development of long-range network connectivity, impairing top-down integrative control and enhancing autonomous processing. A current clinical application of this work assays the effect of computer-assisted training of prerequisite motor skills on autistic social communicative ability, whilst work in basic science is exploring interactions of dimensional autistic traits, cognitive sex differences, individualistic versus collectivistic cultures, and situational manipulations of psychological distance and level of construal. Belmonte is the recipient of a 2009 Faculty Early Career Development Award from the US National Science Foundation, the 2010 Neil O'Connor Award from the British Psychological Society, and a 2011 Fulbright-Nehru Fellowship.
Dr. Berghout received her PhD in Biochemistry from McGill University in Montreal, QC where she researched the genetics of complex traits and susceptibility to infectious disease in humans and mouse models. Following that, she spent three years as the Outreach Coordinator for the Mouse Genome Informatics (MGI) database in Bar Harbor, ME. There, she trained researchers in genetics, genomics, data structures and data mining to answer biological questions, and worked closely with other members of the MGI group to develop and optimize the MGI resource. Now her research interests include genetics of all kinds, personalized medicine, big data, and scientific communication. She is currently pursuing projects in precision medicine for analysis of transcriptome data from patients with rare lung diseases (Sarcoidosis, Coccidiomycosis), and integrative network analysis of complex traits including Alzheimer's Disease. She is currently appointed at the University of Arizona's Center for Biomedical Informatics and Biostatistics (CB2) and The Center for Genetics and Genomic Medicine (TCG2M) in Tucson, AZ.
Christine L. Borgman, Professor & Presidential Chair in Information Studies at UCLA, is the author Big Data, Little Data, No Data ( 2015), Scholarship in the Digital Age (2007) and From Gutenberg to the Global Information Infrastructure (2000), and about 200 other publications in information studies, computer science, and communication. She is a Fellow of the ACM and of AAAS; and a member of the Board of Directors of the Electronic Privacy Information Center.
Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.
My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.
Daniele D'Agostino, Ph.D. is member of the “Computing Architectures and High Performance Computing of the Institute for Applied Mathematics and Information Technologies - Enrico Magenes (IMATI) of the National Research Council of Italy (CNR) since October 2001. The diffusion of parallel and distributed computing puts the activity on the research group at the forefront of many initiatives. The highlight is on the achievements of three related FP7 projects, DRIHMS, DRIHM, DRIHM2US, aimed at the design and implementation of a research e-Infrastructure for hydro-meteorology studies of extreme events.
He actively participated to the COST Action IC0805 Open European Network for High Performance Computing on Complex Environments, where IMATI has been Italian Member of the Management Committee. In 2014 he was a co-chair of the 22nd Euromicro International Conference on Parallel, Distributed and network based Processing. He co-authored more than 90 papers on international journals, books and conference proceedings. He acted also as co-guest editor of several special issues of ISI international.
Prof. Azevedo is frontiers section editor (Bioinformatics and Biophysics) for the Current Drug Targets, section editor (Bioinformatics in Drug Design and Discovery) for the Current Medicinal Chemistry, member of the editorial board of Current Bioinformatics, academic editor for PeerJ, and editor of Docking Screens for Drug Discovery (Methods of Molecular Biology)(Springer Nature). He holds a Ph.D. in Applied Physics from the University of São Paulo (USP)(1997). During his Ph.D., he worked under the supervision of Prof. Sung-Hou Kim (University of California, Berkeley), on a split Ph.D. program with a fellowship from the Brazilian Research Council (1993-1996). His Ph.D. was about the structure of CDK2 (de Azevedo Jr. et al., 1996)(https://www.ncbi.nlm.nih.gov/pubmed/8610110). He is the coordinator of the Structural Biochemistry Laboratory at Pontifical Catholic University of Rio Grande do Sul. His research interests are interdisciplinary with two major emphases: molecular simulations and protein-ligand interactions. He published over 180 scientific papers about protein structures and computer models to assess intermolecular interactions involving proteins and potential ligands. These publications have over 4900 citations in the Web of Science (Publons h-index: 37)(https://publons.com/researcher/1890214/walter-f-de-azevedo-jr/), +5500 citations (Scopus h-index: 41)(https://www.scopus.com/authid/detail.uri?authorId=7006435557), and +7100 citations(Google Scholar h-index: 44).
David De Roure is Professor of e-Research at University of Oxford and Director of the Oxford e-Research Centre. He is a Strategic Advisor to the Economic and Social Research Council in the area of Social Media Data. Working on the intersection of humanities, social science, and computer science, David conducts research on social machines, computational musicology, large scale sociotechnical systems, cyber security and social computing.
Marc-André Delsuc activity is mostly oriented toward the use and improvement of spectroscopies, in particular NMR and more recently FT-MS. This includes new experiment design, development of data processing methods, development of software programs. I have been deeply involved in field as diverse as protein structural analysis, protein-ligand screening, complex mixture analysis, quantum mechanic details of the NMR phenomenon, automatic data analysis, fractal dimension of proteins and polymers, etc.