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• Social Network Analysis
• Legal Informatics
• Data Science
• +3 more

Ioannis Panagis serves as a Data Specialist at the iCourts Centre of Excellence for International Courts and Governance within the Faculty of Law at the University of Copenhagen. Holding a PhD in Computer Engineering from the University of Patras, he bridges computational methodologies with legal scholarship through interdisciplinary research in legal network analysis and data science applications. Education: PhD in Computer Engineering, University of Patras Research Focus: Panagis specializes in social network analysis of legal citation systems, particularly within European Union law, and develops data science techniques for legal text analysis. His work integrates computer science principles with jurisprudence to examine case law structures, judicial influence patterns, and digital platform regulation. Key methodologies include network metrics, text similarity algorithms, and cloud-based processing of legal datasets. Research Evolution: His publication trajectory (2015-2023) demonstrates progression from foundational studies on EU case law citation networks toward advanced computational approaches. Early work established frameworks for multi-dimensional legal network analysis, while recent research (2023) pioneers paragraph-level citation prediction models. This evolution reflects growing sophistication in applying machine learning and natural language processing to complex legal phenomena. Professional Engagement: As Editor of Social Network Analysis and Mining since 2020, Panagis contributes to scholarly discourse in network science. His research outputs have accumulated significant citations (notably 48 for his 2017 consumer law study) and demonstrate impact through policy references and academic discussion. He remains actively affiliated with iCourts, leveraging computational approaches to advance understanding of international judicial systems.

Natacha Klein KaferView profile

Assistant Professor

• History of Medicine
• Privacy Studies
• Early Modern History
• +5 more

Dr. Natacha Klein Kafer serves as Assistant Professor in Church History at the University of Copenhagen's Faculty of Theology, where her research interrogates historical intersections of health, privacy, and healing practices across early modern trans-imperial contexts. Her work examines suppressed popular healing knowledge, witch trials, colonial medical encounters, and the framing of health through secrecy and superstition. Education: PhD in History, Free University of Berlin (2017) MA in Religious Studies, University of Erfurt (2013) BA in History, Federal University of Santa Maria (2010) Research Focus: Klein Kafer investigates how health was conceptualized across empires through trans-Atlantic healing knowledge transmission, particularly analyzing the survival of folk medicine in private spheres despite institutional suppression. Her methodology bridges medical anthropology, gender studies, and legal history to explore connections between death, secrecy, and colonial power structures, with emphasis on German-Brazilian contexts and Atlantic World pharmaceutical slavery. Publication Trends: Recent articles (2024-2025) reveal expanding interdisciplinary scope, moving from textual analysis of healing charms to contemporary AI privacy ethics. Key thematic clusters include maritime privacy dynamics, gendered knowledge production in households, and decolonial critiques of medical patents, with increasing engagement with Caribbean slavery and digital humanities methodologies. Awards: MSCA Seal of Excellence (2023) Academic Engagement: Klein Kafer actively organizes international conferences including 'Prompt Engineering and AI Models for Historical Sources' (2025) and 'Podcasting for Academics' workshops. Her external role as organizer for Contecte Humanidades Digitais at Federal University of Santa Maria demonstrates sustained commitment to digital history infrastructure development across continents.

Zhan WangView profile

Assistant Professor

• Agricultural Economics
• Land Use
• Environmental Protection
• +6 more

Zhan Wang serves as an Assistant Professor in the Department of Food and Resource Economics at the University of Copenhagen's Faculty of Science, where his research examines the intricate relationships between land use, agricultural production systems, and environmental sustainability through advanced computational modeling techniques including general/partial equilibrium frameworks and geospatial data analysis. His work specifically investigates global, national, and gridded-scale impacts of international trade dynamics, climate change scenarios, and transportation infrastructure development on agricultural ecosystems. His academic background includes: PhD in Agricultural Economics from Purdue University (2018-2023) Dr. Wang's research expertise spans agricultural economics, land use change modeling, environmental impact assessment, and innovative economic education methodologies. He employs multi-scale analytical approaches to study sustainability challenges in food, land, and water systems, with particular emphasis on Brazil's agricultural infrastructure and China's ecological programs. His work bridges economic theory with environmental science to inform policy decisions regarding resource allocation and sustainable development. Analysis of his recent publications reveals a strong thematic focus on transportation infrastructure expansion and climate change impacts on agricultural systems, particularly in Brazil and China. His modeling frameworks like GTAP-SIMPLE-G integrate economic and geospatial data to evaluate policy interventions, while his educational tools demonstrate commitment to advancing applied economics pedagogy. The publications consistently employ multi-scale analysis techniques to address complex sustainability challenges. No scientific awards were documented in the available sources. Information regarding student advising, research grants, laboratory facilities, or research teams was not provided in the source materials, though his collaborative publications suggest interdisciplinary partnerships. His external position as Post-doctoral Research Associate at Purdue University (August 2023-June 2025) indicates ongoing academic engagement beyond his primary appointment.

• Bioinformatics
• Computational Biology
• Single-Cell Genomics
• +3 more

Junil Kim serves as a Guest researcher in the Won Group at the Biotech Research and Innovation Centre (BRIC), University of Copenhagen, focusing on computational methodologies for genomic data analysis. His work bridges bioinformatics and experimental biology through algorithm development for high-resolution transcriptomic mapping. His research spans single-cell genomics, spatial transcriptomics, and gene regulatory networks, emphasizing neighbor-dependent cellular interactions in developmental contexts. Key methodologies include deep learning frameworks for spatial data integration and information-theoretic approaches to infer gene networks, applied to embryogenesis and pancreatic development. Publication trends reveal a consistent trajectory in computational spatial biology, with increasing emphasis on machine learning applications since 2021. His articles in Molecular Systems Biology, PNAS, and Nucleic Acids Research demonstrate cross-disciplinary impact, particularly in translating single-cell data to spatial cellular contexts and regulatory mechanisms. As part of the Won Group at BRIC, Kim contributes to a collaborative environment specializing in computational genomics, leveraging single-cell technologies to investigate developmental processes and disease mechanisms through interdisciplinary partnerships with molecular biologists and clinicians.