Advisory Board and Editors Computational Science
Robert H McDonald
Robert H. McDonald is Dean of University Libraries and Professor of Library Administration. He is responsible for leading the Boulder campus library system in fulfilling their mission to inspire learning, research, and discovery by connecting knowledge, information, and people.
His expertise and interests include teaching and learning technologies that enable libraries to better support researchers at all levels, open source software development, scholarly communications, and new model publishing. Robert has also been an active proponent of diversity initiatives in libraries throughout his career and is committed to creating library spaces that are welcoming, diverse and inclusive for all of our Library users.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Bálint Molnár
Dr. Bálint Molnár is an Associate Professor and Lecturer within the Department of Information Systems at Eötvös Loránd University, Budapest, Hungary.
His research interests include, but are not limited to, Formal, mathematical-based models for designing, modeling, and validating information systems; Application of data science methods to solve data, function, and process integration issues of enterprise management and health information systems. Enterprise, organizational, business, information systems architecture, and application of formal models.
Christopher J Mungall
I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.
Catherine E Myers
Dr. Myers joined the Neurobehavioral Research Lab at VA NJHCS in 2009 and joined NJMS as a Professor in 2011. Her research interests focus on understanding the brain substrates of learning and memory, using techniques including computational neuroscience and human experimental neuropsychology.
She has authored and co-authored over 100 peer-reviewed scientific articles and several books including the undergraduate-level textbook “Learning and Memory: From Brain to Behavior.”
Helder Nakaya
Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.
Peter A. Ng
Dr. Peter Ng is Professor of Computer Science at Purdue University Fort Wayne and Fellow of the Society for Design and Process Science (SDPS). He has served as the Chair and Professor of Computer Science in the College of Information Science and Technology at the University of Nebraska at Omaha, NE (1998-2000), and in the College of Science and Arts at the New Jersey of Institute of Technology, Newark, NJ (1985-1998). He has served as the Executive Director for Global e-Learning Project at the International Programs and Studies of the University of Nebraska-Omaha (2000-2003) and as the Vice President for Fudan International Institute for Information Science and Technology, Shanghai, China (1999-2000). Dr. Ng received his Ph.D. in Computer Science from the University of Texas at Austin in 1974.
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).
Hoang Nguyen
Dr. Hoang Nguyen is a Lecturer (Computational biologist, data scientist, and computer scientist) within the School of Innovation, Design, and Technology at the Wellington Institute of Technology in New Zealand.
His research interests include Applied Data Science, Machine Learning, Deep Learning, Computer-aided Drug Design, Bioinformatics, and Health informatics.
Charles Ofria
Professor of Computer Science at Michigan State University; Director of the Digital Evolution Laboratory and Deputy Director of the BEACON Center for the Study of Evolution in Action.
Charles Ofria director of the Digital Evolution Laboratory. He conducts research on evolution in artificial systems and applies the results to problems in computer science and evolutionary biology. He developed Avida, a software-based research platform consisting of populations of 'digital organisms used in biological research. His work has been published in Science and Nature and his research has received international media attention in forums such as Discover Magazine, National Geographic, CNN, the BBC, New Scientist, and the New York Times.
Olorunseun O Ogunwobi
Dr. Ogunwobi obtained a medical degree from the University of Ibadan, Nigeria, a master's degree in biomedicine from the University of Hull, United Kingdom, a master's degree in clinical and translational science from the University of Florida, Gainesville, and a PhD in molecular biology from the University of East Anglia, Norwich, United Kingdom. He was the Founding Director of the Hunter College Center for Cancer Health Disparities Research. He is now the Barnett Rosenberg Professor of Biochemistry and Molecular Biology and Chairperson in the Department of Biochemistry and Molecular Biology at Michigan State University. In addition, he will serve as Co-Director of the forthcoming Center for Cancer Health Equity Research (CCHER) at Michigan State University. He is a translational cancer biologist whose work focuses on molecular mechanisms of progression of solid organ cancers with racial disparities, and on approaches to leverage non-coding RNA biology for potential clinical applications in cancer. His work has been funded by the National Institutes of Health, New York State, Carnegie Corporation of New York, and the National Science Foundation, among others. Dr. Ogunwobi was a Founding Contact Principal Investigator of the Synergistic Partnership for Enhancing Equity in Cancer Health (SPEECH) funded by U54 grants CA221704 and CA221705 from the National Cancer Institute. An author of 74 peer-reviewed journal articles and 3 book chapters, Dr. Ogunwobi has been issued 5 US patents for biotechnology inventions with potential clinical applications in cancer. He is the recipient of the 2022 Hunter College Presidential Award for Excellence in Scholarship or Creative Activity, and selected as a Jefferson Science Fellow by the National Academies of Sciences, Engineering, and Medicine, and as a Fellow of the Academy of Medicine Specialties of Nigeria. He is Co-Founder of UTR Therapeutics, Inc (winner of the 2023 XSeed Award from Deerfield), and NucleoBio, Inc.
Claire B Paris
Claire Beatrix Paris is a Professor in the department of Ocean Science, University of Miami’s Rosenstiel School of Marine and Atmospheric Science. Director of the Physical-Biological Interactions Lab, she focuses on biophysical dispersion at sea, as well as the transport and fate of pollutants and oil spills from deep-sea blowout. Paris has brought recognition to the key role of behavior of the pelagic larval stage in the connectivity of marine populations and the function of ecosystems.
Paris has developed numerical and empirical tools for her laboratory’s research, both used worldwide: the Connectivity Modeling System (CMS) is an Open-Source Software (OSS) that virtually tracks biotic and abiotic particles in the ocean, and the Drifting In Situ Chamber (DISC) is a field instrument used to track the movement behavior of the early life history stages of marine organisms and detect the signals they use to orient and navigate.