Advisory Board and Editors Data Science
Shalu Jhanwar
Dr. Jhanwar’s research interests lie at the interface of epigenomics, genomics, bioinformatics, and machine learning. She has extensive experience in plant and animal sciences, development biology, and cancer genomics and epigenomics. She has developed machine learning-based tools and bioinformatic analysis pipelines integrating genomic and epigenomic information. In the past, she has identified biomarkers differentiating wild and cultivated varieties of plants using comparative genomic approaches. Upon integrating transcriptomics and chromatin accessibility, presently she is studying the regulatory dynamics underlying structural diversity during organogenesis.
Yaochu Jin
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
Astrid M. Kamperman
Dr. Astrid Kamperman is Assistant Professor of Psychiatry at the Erasmus University Medical Center. She is a psychiatric epidemiologist, statistician and methodologist with a strong affinity towards social psychiatric topics and issues related to women's mental health.
Elizabeth G King
Assistant Professor of Biological Sciences, University of Missouri. The goal of our research is to explain the diversity of life history strategies among organisms. We primarily, though not exclusively, use insect model systems for our research.
Xiangjie Kong
Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 16 papers are ESI-Highly Cited Papers (Top 1%). His research has been reported by Nature Index and other medias. He has been invited as Reviewer for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 36 and i10-index of 87, and a total of more than 4200 citations to his work according to Google Scholar. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.
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).
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).
Carl P. Lipo
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.