Advisory Board and Editors Computational Science
Joshy George
Associate Director fo Computational Sciences, The Jackson Laboratory for Genomic Medicine, CT, USA. Previously worked at the Peter MacCallum Cancer Center in Melbourne Australia and at the Genome Institute of Singapore.
Arthur Gruber
Prof. Arthur Gruber received his Bachelor’s in Veterinary Medicine, PhD in Biochemistry, Associate degree in Animal Pathology from the University of São Paulo. He is Associate Professor at the Institute of Biomedical Sciences, University of São Paulo, affiliated member, European Viral Bioinformatics Center, and member of the directory board, Brazilian Association for Bioinformatics and Computational Biology (AB3C). Prof. Gruber is PI of the Viral Genomics and Bioinformatics research group, developing bioinformatics methods and tools for viral detection, classification and discovery.
Thomas Hartung
Professor of Toxicology (Chair for Evidence-based Toxicology), Pharmacology, Molecular Microbiology and Immunology at Johns Hopkins Bloomberg School of Public Health, Baltimore, and University of Konstanz, Germany; Director of their Centers for Alternatives to Animal Testing (CAAT). Former Head of the European Center for the Validation of Alternative Methods (ECVAM), Ispra, Italy.
Harry Hochheiser
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.
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.
Daniel S. Katz
Dan's interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing, including HPC, Grid, Cloud, etc. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers.
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.
Alban Kuriqi
Interested in interdisciplinary research, scientific writing, science communication, teaching, and offering consultancy for the industry. My core research interests and expertise include renewable energy—focusing on hydropower and complementarity resources, hydropower impacts, river restoration and management, e-flows, floods, droughts, climate change, fluvial hydraulics, sediment transport in open-channel flows; embankment structures; hydraulic structures; Sustainable Drainage Systems (SuDS), long-term meteorological and hydrologic trends and variability analysis, ecohydraulics, ecohydrology, and artificial intelligence applications in the field hydraulics and hydrology.
Weijun Luo
Faculty member at the Department of Bioinformatics and Genomics, College of Computing and Informatics, UNC Charlotte.
Research areas include: High throughput genomic data analysis Computational method development and implementation Systems biology on complex diseases and processes Biomedical informatics and computing Personal genome and personalized medicine
Dilip K Maiti
Dilip K. Maiti was born September 09, 1970, in West Bengal, India. He received his BSc. in chemistry in 1991 and MSc. (organic chemistry major) in 1993, from the University of Calcutta, India. He achieved his Ph.D. on stereoselective synthesis, from Indian Institute of Chemical Biology in 1998. He carried out his postdoctoral research in the School of Medicine, Wayne State University, USA. In 2005, he joined as a Reader faculty at the University of Calcutta and became full Professor in 2011. His major research activity is focused on organic synthesis and fabrication of smart organic nanomaterials, sensors and devices.
Ari Melo Mariano
Ari Melo Mariano is a Data Scientist, Post-Doctorate in Data Science, Post-Doctorate in Scientific Methodology and Quantitative Methods, Doctor in Administration, Master in Administration, and Bachelor in Administration. A specialist in data science, he also has an MBA in European consumer law. He is currently a professor and researcher in production engineering at the University of Brasilia (UNB), Brazil. Professor of the Professional Master of Applied Computing in the Department of Computer Science and Collaborating Professor of 6 doctorate programs in Latin America.
Ari is the Director of DataLab at the Production Engineering Course at the University of Brasilia. As a researcher, he works in data science, behavioral big data, bibliometrics, analysis via structural equation models, and text mining. The most related areas of his research are the acceptance and use of technology, consumer behavior, active methodologies, learning styles, Industry 4.0 and 5.0, smart and shared cities, and interculturality.
Jesús Marugán-Lobón
Dr. Marugán-Lobón is a Paleobiologist from the Universidad autónoma of Madrid, Spain. He is an specialist in Geometric Morphometrics, and his research is focused in understanding macroevolutionary trends in vertebrates, and in particular, the dinosaur-bird transition. He belongs to the research staff of the Las Hoyas fossil site, is Research Associate of the Dinosaur Institute (NHM), and colaborates with the Theoretical Biology Lab, Cavanilles Institute of Biological Diversity and Evolution.