Advisory Board and Editors Data Science
Carl P. Lipo
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Xiaohui Liu
Xiaohui Liu is Professor of Computing and Director of the Centre for Intelligent Data Analysis at Brunel University London, conducting interdisciplinary research concerned with the effective analysis of data.
Chenkai Ma
Chenkai Ma is a postdoctoral researcher in CSIRO, working on the diagnostic biomarkers identification for diabetes. His expertise is in bioinformatic analysis for DNA methylation, RNA and ChIP sequencing. He has solid knowledge for biomarkers (including liquid biopsy) discovery and clinically usable assay designing. During his PhD, he identified a panel of circulating miRNAs biomarkers for glioma and exploration of the biological regulation in tumor microenvironment via extracellular vesicles. His knowledge also extends to immuno-oncology.
Ana G Maguitman
Ana Gabriela Maguitman is a Researcher at the National Council for Science and Technology (CONICET) of Argentina and an Associate Professor at the Department of Computer Science and Engineering of the Universidad Nacional del Sur (Argentina). She obtained her PhD in Computer Science at Indiana University (USA). Dr. Maguitman leads the Knowledge Management and Information Retrieval Research Group at Universidad Nacional del Sur (http://ir.cs.uns.edu.ar/).
Brendan P Malone
My research focus is in using quantitative methods to precisely understand how soils function and change- spatially, and through time.
I research methods for comprehensive digital soil mapping aiming to characterize soil both in the lateral and vertical dimensions.
I research methods for quantifying (and validating) measures of uncertainty for these comprehensive soil information systems.
I investigate innovative systems for soil measurement, which includes that associated with remote and proximal and soil sensing instrumentation. I have particular interest in infrared and x-ray spectroscopy.
Radu Marculescu
In 2020, Prof. Radu Marculescu moved to The University of Texas at Austin.
Radu Marculescu is a Professor in the Dept. of Electrical and Computer Engineering at Carnegie Mellon University, USA. He received his Ph.D. in Electrical Engineering from the University of Southern California in 1998.
Radu's current research focuses on developing methods and tools for modeling and optimization of embedded systems, cyber-physical systems, social networks, and biological systems. Radu Marculescu is a Fellow of IEEE cited for his contributions to the design and optimization of on-chip communication for embedded multicore systems.
Alessio Martino
Alessio Martino graduated summa cum laude in Communications Engineering at University of Rome "La Sapienza", Italy, 2016. From 2016 to 2019, he served as PhD Research Fellow in Information and Communications Technologies at the same University (Department of Information Engineering, Electronics and Telecommunications), with a final dissertation on pattern recognition techniques in non-metric domains. During his PhD, he also served as scientific collaborator with Consortium for Research in Automation and Telecommunication, Rome, Italy.
After obtaining the PhD, he was granted a 1-year Post Doctoral Research Fellowship at University of Rome "La Sapienza" and a 1-year Post Doctoral Research Fellowship at the Italian National Research Council (Institute of Cognitive Sciences and Technologies). Since February 2022, he is Assistant Professor of Computer Science at LUISS University.
His research interests include machine learning, computational intelligence and knowledge discovery. Currently he's focusing on large-scale machine learning, advanced pattern recognition systems, big data analysis, parallel and distributed computing, granular computing and complex systems modelling, in applications including bioinformatics and computational biology, natural language processing and energy distribution networks.
He serves as Editor for several journals and regularly serves as Technical Program Committee member for several international conferences. Alessio Martino is also a member of the IEEE.
Andrew McCallum
Professor and Director of the Center for Data Science and also the Information Extraction and Synthesis Laboratory in the School of Computer Science at University of Massachusetts Amherst. President, International Machine Learning Society; Fellow, AAAI.
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.
Monique Messié
Research specialist at the Monterey Bay Aquarium Research Institute (MBARI) working on physical/biological interactions in the oceans.
My research combines satellite products, models and in situ data to study ecosystem processes and physical/biological interactions in the coastal and open oceans. Current areas of research include physical and biological variability at regional and global scales, ecosystem response to climate and ocean change, bioluminescence in the upper ocean, marine hotspots in the California Current, connections between surface, midwater and benthic communities, and the effect of tropical islands on phytoplankton biomass and biodiversity.
Koji Miwa
Dr. Koji Miwa is Associate Professor at Nagoya University. He is a psycholinguist, who takes an experimental approach in linguistics to study how language is “done” in the mind. Dr. Miwa is primarily investigating (1) how complex words are represented/processed in the mind and (2) how bilinguals read in one language with two languages in the mind.
Dezső Módos
I am a medical doctor and a systems biologist. During my scientific carrier, I have tried to understand diseases and find novel approaches to treat them with drugs, whether it is cancer or UC. I finished the Semmelweis University Doctor of Medicine course on 2012 and then started my PhD in network biology. I was involved in developing multiple biological network databases transcription factor-target layers such as SignaLink, AutophagyRegulatory Network or the NRF2Ome. My main project was to understand signalling networks in cancer and how the different paralogues of a protein can act in the signalling network.
Since then I have been a Postdoctoral Research Associate at Cambridge University, where my main focus was how can we use networks to predict mechanisms of action of compound combinations. I used various chemical informatics techniques besides network biology such as chemical fingerprints, machine learning and gene expression-based toxicity prediction.
Currently, I am working at the Earlham Institute and Quadram Institut in Norwich researching inflammatory bowel disease and using network biology to decipher the pathogenesis of complex disorders.
I have recently moved to Imperial College, London to go through the therapeutic celling in IBD using systems biology.