Advisory Board and Editors Computational Biology
Qi Liu
Research Assistant Professor of Biomedical Informatics, Vanderbilt University
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Tao Liu
I am an Assistant professor at Department of Biochemistry, State University of New York at Buffalo. I have expertise and extensive experience with developing and applying computational approaches for transcriptional and epigenetics regulation studies. As a postdoctoral fellow at Dana-Farber Cancer Institute, I developed widely used open-source algorithms, including MACS (cited over 3,200 times according to Google Scholar) to analyze ChIP-seq data, and an integrative platform for comprehensive analyses on cis-regulatory elements (http://cistrome.org/ap), which has over 3,000 users. I was a member of the Data Analysis Center and Analysis Working Group of the ENCODE and modENCODE consortium and was involved in deciphering functional elements through analyzing high-throughput profiles of chromatin factors and in comparing chromatin features between fly, worm and human genome. I have actively participated in the development of ChIP-seq guidelines for the broad scientific communities. My laboratory at University at Buffalo is focused on studying transcriptional and epigenetic regulatory mechanisms, and the influence of the genetic variations at regulatory elements.
Nicholas J Loman
Nick works as an Independent Research Fellow in the Institute for Microbiology and Infection at the University of Birmingham, sponsored by an MRC Fellowship in Biomedical Informatics. His research explores the use of cutting-edge genomics and metagenomics approaches to the diagnosis, treatment and surveillance of infectious disease. Nick has so far used high-throughput sequencing to investigate outbreaks of important pathogens such as Pseudomonas aeruginosa,Acinetobacter baumannii and Shiga-toxin producing Escherichia coli. His current work focuses on the application of novel sequencing technologies such as the Oxford Nanopore for genome diagnosis and epidemiology of important pathogens, including most recently real-time surveillance of the Ebola outbreak in West Africa. A more general aim is to develop bioinformatics tools to aid the interpretation of genome and metagenome-scale data in routine clinical practice in collaboration.
Marta Lovino
Dr. Marta Lovino is an assistant professor with a time contract at the University of Modena and Reggio Emilia, since 2023. She obtained her Ph.D. in Computer and Control Engineering with honors from Politecnico di Torino in 2021 and joined the AImage lab group as a Postdoctoral Research Fellow.
Dr. Lovino's primary research interests include cancer prognosis prediction, gene expression analysis, miRNA target prediction, gene regulatory networks, gene fusions, and multi-omics data integration. With a particular focus on leveraging artificial intelligence (AI) in the field of genetics to improve the understanding of cancer biology and enhance patient care.
Gerton Lunter
My group is interested in investigating the processes of evolution and biology using computational methods. We apply machine learning methods (HMMs, Bayesian statistics, particle filters, deep learning) to large data sets to study for example human demographic history or non-coding functional elements in the genome.
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
Emiliano Maiani
Emiliano Maiani earned his MS and PhD in Molecular and Cellular Biology at the University of Rome “Tor Vergata”, Rome, Italy. In 2013, he joined the Cell Stress and Survival laboratory headed by prof. Francesco Cecconi at the Danish Cancer Society Research Center (DCRC), Copenhagen, Denmark. At the end of 2017, he moved for a second postdoc at the Computational Biology Laboratory headed by Elena Papaleo at the DCRC, Copenhagen. In this period, he expanded his knowledge to computational and structural biology. His research is focused on cancer biology and in particular in autophagy and DNA damage response pathways.
Isabelle Mansuy
Isabelle Mansuy is Professor in Neuroepigenetics at the Medical Faculty of the University of Zürich (UZH) & the Department of Health Science and Technology of the ETHZ.
Dr. Mansuy is a member of the Swiss Academy of Medical Science, the European Academy of Sciences (EURASC), the Research Council of the Swiss National Foundation, of the Research Council of the Fyssen Foundation and of EMBO, and is elected Knight of the Legion of Honour in France after being elected Chevalier dans l'Ordre National du Mérite in 2011. She is acting in multiple review boards including the European Neuroscience Institute Göttingen, the German Federal Ministry of Education and Research, CNRS, etc. She is chief co-editor of BioMolecular Concepts, and member of the editorial board of Hippocampus, Neurobiology of Diseases, Frontiers in Behavioral Neurosciences, Biology of Mood and Anxiety Disorders, and Frontiers in Epigenomics. She co-authored several reviews and books in the field of molecular cognition and neuroepigenetics.
Kathleen Marchal
Associate Professor Bioinformatics, Department of Bioinformatics and Plant Biotechnology, Ghent University, Belgium; VIB department Plant Systems Biology. Associate Professor Bioinformatics, Department of Microbial and Molecular Plant Sciences, KU Leuven, Belgium. Recipient of the DSM award 2000. Recipient of the Biannual Siemens award 2002. Associate editor of BMC Release notes, BMC Bioinformatics, Journal of Integrative Omics
Lennart Martens
Professor of Systems Biology at Ghent University, Belgium and Group Leader of the Computational Omics and Systems Biology (CompOmics) group at VIB, Belgium. Editor or Editorial Board Member for several other journals, including PLoS ONE, Proteomics, Amino Acids, Molecular BioSystems, and BBA - Proteins and Proteomics. Author of three text books in the field of Proteomics Informatics.
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.