Advisory Board and Editors Data Science
Trang Do
Dr. Trang Do earned her PhD degree from the National University of Singapore in 2013. She is a proactive and motivated educator and data scientist, showcasing a track record of effectively managing expansive and intricate projects alongside engagements with stakeholders and government agencies. Her expertise spans data and computer science, coupled with a foundation in economics and bioinformatics, driving an ongoing pursuit of professional development. Her research interests encompass a wide scope within data science, intelligent systems, and interdisciplinary computing. Presently, her primary focus centers on machine learning, deep learning, explainable AI, data analysis, and visualization, particularly within the realms of health informatics, drug discovery, bioinformatics, tourism, and intelligent systems.
Timothy P Driscoll
Associate Professor at West Virginia University Department of Biology. PhD in Genomics, Bioinformatics, and Computational Biology from Virginia Tech. Our research centers on the distribution, evolution, and design of interventions for zoonotic and vector-borne infectious diseases. I focus on Rickettsiales and other intracellular pathogens, using phylogenomics and related approaches to understand virulence and pathogenicity.
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent systems from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 80 peer-reviewed papers and has been a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
Charles P. Elkan
Professor of computer science at the University of California, San Diego, and also Amazon Fellow.
Massimiliano Fasi
Massimiliano Fasi is a Lecturer in Software Engineering at the School of Computer Science of the University of Leeds. He obtained a PhD from the University of Manchester in 2019, and has held positions in the UK (University of Manchester and Durham University) and in Sweden (Örebro University).
His research interests include scientific computing, computer arithmetic, and numerical analysis, with particular focus on numerical linear algebra.
Carlos Fernandez-Lozano
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
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.
Daniel Fischer
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.
Alessandro Frigeri
My research interest focuses on Planetary Science, Geoinformatics, and Geophysical data acquisition (both in the field and from remote sensing instruments), processing, and comparative analysis of datasets with different data models (e.g. topography, spectral and visible imagery and radar). I use and develop GIS tools for quantitative spatial analysis in my research activity.
I'm part of Scientific Teams of instruments onboard missions to Mars (ESA's Mars Express and NASA's MRO) and asteroids belt Vesta and Ceres (NASA's Dawn).
Simon DW Frost
Reader in Pathogen Dynamics at the University of Cambridge; formerly Adjunct Associate Professor in the Dept. of Pathology, University of California San Diego (UCSD). Graduated with a BA in Natural Sciences (1st class), Trinity College, Cambridge (1992), DPhil in Mathematical Biology, Merton College, Oxford (1996). Postdoctoral positions at Princeton University, Oxford University, University of Edinburgh and UCSD. Awards include: NATO Postdoctoral Fellowship (1996), MRC Nonclinical Training Fellowship (1997-2000), a Royal Society Wolfson Research Merit Award (2008-2013), and Thomson-Reuters Highly Cited Researcher awards in 2014, 2015, and 2016.
Atsushi Fukushima
I am a professor at Kyoto Prefectural University. My current research interests focus on characterization of metabolic regulatory networks and integrated analysis of multi-omics data in plants. I am a member of the editorial board for BMC Genomics, Plant Methods, Frontiers in Plant Science, Plants, BioTech, and PeerJ.
Shawn M Gomez
Professor and Associate Chair for Research in the Joint Department of Biomedical Engineering at UNC-CH and NCSU and Professor in the Department of Pharmacology at UNC-CH. Previous Florence Gould Scholar and Pasteur Foundation Fellow. Current research interests in systems and synthetic biology, bioimage informatics, and network science applied to biology. Broader interests in translational medicine and the fostering of innovative solutions to problems in healthcare.