Advisory Board and Editors Data Science
Krista H Lagus
Krista H. Lagus is a Finnish professor and researcher specializing in artificial intelligence (AI), natural language processing (NLP), machine learning, and digital social science. She currently serves as a Professor of Digital Social Science at the University of Helsinki, where she integrates AI and digital methods with social sciences to analyze complex social behaviors.
Lagus earned her M.Sc. in Computer Science in 1996 and her Ph.D. in Computer and Information Sciences in 2000 from Helsinki University of Technology (now Aalto University). She has held various research positions, including Academy Research Fellow at the Finnish Academy of Sciences from 2006 to 2012. In 2019, she co-founded the Center for Social Data Science (CSDS) at the University of Helsinki and became its first director.
University of Helsinki
Her notable projects include WEBSOM, a method for visualizing large text collections using self-organizing maps; Citizen Mindscapes, which examines digital communication to gauge public opinion and societal trends; and Morfessor, an algorithm for unsupervised morphological analysis widely used in NLP. Her publications have appeared in leading journals such as IEEE Transactions on Neural Networks, Information Sciences, Neurocomputing, Artificial Intelligence Review, ACM Transactions on Speech and Language Processing, and Cognitive Science.
In addition to her research, Lagus teaches and supervises students in AI and digital social science, contributing to interdisciplinary research and education that leverages AI for societal benefit.
Renaud Lambiotte
Renaud Lambiotte is professor in the department of Mathematics of the University of Namur. He is interested in different aspects of complex systems, with a particular focus on complex networks. His recent research includes the development of algorithms to uncover information in large-scale networks, the study of empirical data in social and neuronal systems, and the mathematical modelling of human mobility and diffusion on networks.
Juan A Lara
Juan A. Lara is Associate Professor and Research Scientist at University of Córdoba, Spain. He is currently member of Department of Computer. He holds a Ph.D. in Computer Science and two Post Graduate Masters in Information Technologies and Emerging Technologies to Develop Complex Software Systems from Technical University of Madrid, Spain. He is author of more than a 40 papers published in international impact journals. His research interests in computer science include data mining, knowledge discovery in databases, data fusion, artificial intelligence and e-learning.
Yann LeCun
Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).
Jens Lehmann
Dr. Jens Lehmann is a researcher at the University of Leipzig. He is co-leading the AKSW („Agile Knowledge Engineering and Semantic Web“) Group and is interested in semantic technologies, machine learning and the data web. He is working on several community research projects, including DL-Learner, DBpedia and LinkedGeoData as well as funded EU projects such as GeoKnow and Big Data Europe. He studied and worked in Leipzig, Oxford, Bristol and Dresden.
Kristina Lerman
Kristina Lerman is a Project Leader at the Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Viterbi School of Engineering's Computer Science Department. Her research focuses on applying network-based and machine learning methods to problems in social data analysis and social computing.
Benjamin H Letcher
Ben Letcher is a quantitative stream ecologist working at the interface of field studies and mathematical models of population and evolutionary dynamics. My group is combining information from long-term intensive studies of stream fish with extensive studies to develop broad scale models of population response to environmental change.
Xing Li
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).
Ee-Peng Lim
Ee-Peng Lim received Ph.D. from the University of Minnesota, Minneapolis in 1994 and B.Sc. in Computer Science from National University of Singapore. His research interests include social network and web mining, information integration, and digital libraries. He is currently an Associate Editor of the ACM Transactions on Information Systems, ACM Transactions on the Web, IEEE Transactions on Knowledge and Data Engineering.
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.