Sotirios Lamprinidis serves as a Lecturer in the Department of Computer Science at the University of Copenhagen. His office is located at Universitetsparken 1, 2100 København Ø, and he can be contacted via email at sotla@di.ku.dk. His research spans core areas of Computer Science, with specific interests in Artificial Intelligence methodologies and Software Engineering practices, reflecting the departmental focus on computational theory and applied systems development.
Caroline Bach Bergholdt serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, Denmark, where she contributes to academic instruction within the university's technical disciplines. Her research spans core areas of computer science with emphasis on: Algorithm design and analysis Programming language theory Artificial intelligence systems Large-scale data processing Software development methodologies User interface engineering Based in Copenhagen at Universitetsparken 1, her work integrates theoretical foundations with practical computing applications across multiple subfields.
Carsten Eckhart Thomsen serves as Associate Professor in the Department of Odontology at the Faculty of Health and Medical Sciences, University of Copenhagen. His research integrates biomedical engineering with clinical dentistry and medicine, focusing on signal processing applications for medical diagnostics. Contact: cet@sund.ku.dk, +4535326558, located at Nørre Allé 20, Building 24, Room 24-5-12, 2200 København N. Primary research interests include Anaesthetic assessment , Intensive Care , Diabetes management , Epilepsy monitoring , and advanced signal processing techniques ( Pattern Recognition , Clustering Analysis ). His work targets development of monitoring devices for neurological disorders and metabolic conditions through interdisciplinary collaboration between engineering and clinical medicine. Analysis of his 59 research outputs (2005-2012) reveals consistent focus on medical signal processing: epilepsy seizure detection systems (2012), neurotoxicity mechanisms of local anesthetics (2011), and cognitive effects during hypoglycemia in diabetes (2008-2009). His publications demonstrate strong methodology development in neural engineering and clinical translation, particularly in EEG analysis and physiological monitoring. Scientific awards: No awards explicitly documented in source material Advising and grants: While specific student names and grant details are absent, his role as Associate Professor and contribution to PhD thesis supervision indicate active graduate mentorship. The text does not specify external funding sources or grant awards. Labs and teams: No laboratory facilities or research team structures described in provided information
Michael Charles Sachs serves as Associate Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen's Faculty of Health and Medical Sciences. He holds a Doctorate in Biostatistics from the University of Washington (awarded August 15, 2011) and maintains an active research program with publications spanning 2022-2025. His primary research focuses on biomarker signatures for treatment selection , computational methods for deriving symbolic bounds on causal effects , and regression modeling of cumulative estimands with censored event history data . His general areas of interest include reproducible research, computational statistics, R programming, Bayesian nonparametric models, and survival analysis. Professor Sachs teaches the advanced course "Programming and Statistical Modeling in R" for PhD students and health researchers, covering programming principles, loops, functions, and efficient data manipulation. His recent publications demonstrate expertise in causal inference methodology, survival analysis techniques, and statistical software implementation, with multiple articles accepted for publication in 2025. His work spans theoretical methodology development and practical applications in medical research, particularly in gastroenterology and celiac disease prediction. His scholarly output shows consistent productivity with multiple first-author publications in high-impact biostatistics journals including Journal of Statistical Software, Journal of Computational and Graphical Statistics, and Biostatistics. He actively organizes academic activities, including a May 2025 workshop on statistical modeling in R.
Lukasz Krych is an Associate Professor in the Department of Food Science at the Faculty of Science, University of Copenhagen. His research focuses on the intersection of food microbiology, gut health, and fermentation technologies, with particular expertise in high-throughput community sequencing and bioinformatics. Dr. Krych's educational background includes: MSc and engineer degree in biotechnology (major: Molecular Diagnostics) from the University of Life Sciences, Poznan, Poland (2008) PhD from the University of Copenhagen, Denmark (2014) Postdoctoral research at the Department of Food Science, Faculty of Science, University of Copenhagen (2014-2018) Dr. Krych's research investigates the association between gut microbiome and health and disease in human and animal models using molecular genetic methods and classical microbiology techniques. He specializes in developing protocols for Illumina and Oxford Nanopore sequencing, high-throughput qPCR, and NGS data analysis including amplicon sequencing and metagenome assembly. His computational expertise spans Qiime, C++, R, Matlab, and bash, with additional skills in hardware assembly and software management for custom-built analysis workstations. Analysis of Dr. Krych's recent publications reveals a strong interdisciplinary approach spanning microbiology, genomics, and food science. His work applies advanced sequencing technologies to diverse ecosystems including human gut, animal models, and food systems, with particular emphasis on long-read sequencing for improved phylogenetic analysis, microbiome interactions with health conditions, and historical microbial cultures. Dr. Krych teaches multiple courses including Microbiology of Fermented Food and Beverages, Dairy Microbiology, Basic Cell and Molecular Biology, and Yeast Physiology and Applications at bachelor's and master's levels, plus the Microbiome Analysis PhD course. His teaching directly reflects his research expertise in food microbiology and molecular analysis techniques. Dr. Krych's laboratory collaborates with GenXone, one of Europe's first certified Oxford Nanopore Technologies laboratories, developing molecular diagnostics for genetic disorders and pathogen detection. His research team investigates microbial communities in food processing environments, gut health models, and historical culture preservation, demonstrating strong industry-academic partnerships and methodological innovation.
Daniel Faurholt-Jepsen serves as a Clinical Associate Professor at the Department of Clinical Medicine, University of Copenhagen. His academic and clinical work bridges infectious diseases, endocrinology, and epidemiology with a strong focus on global health challenges. Education: M.Sc. in Medicine (MD), University of Copenhagen (2010) Pregraduate research diploma in epidemiology, University of Copenhagen (2007) PhD Student, Department of Human Nutrition, University of Copenhagen (2010-) Dr. Faurholt-Jepsen's research centers on communicable and non-communicable diseases in low-income countries, with particular emphasis on diabetes mellitus among patients infected with tuberculosis and HIV. His work also examines physical activity levels among patients in resource-limited settings and employs epidemiological methods to address complex health challenges. His international field experience includes research in Tanzania, Guatemala, and the Faroe Islands, providing him with valuable insights into diverse healthcare systems and disease patterns. His recent publications (2025) reveal a strong focus on cystic fibrosis complications, diabetes in tropical settings, cardiovascular infections, and metabolic complications of critical illnesses. His research spans clinical trials, epidemiological studies, and health services research, often with an international collaborative dimension. Dr. Faurholt-Jepsen teaches Introduction to Stata and utilizes statistical software including Stata and EpiData for his research. His work demonstrates a commitment to addressing health disparities through rigorous scientific investigation and practical clinical applications.
Joel Vizueta Moraga serves as both an Assistant Professor and Guest Researcher in the Department of Biology, Ecology and Evolution at the University of Copenhagen's Faculty of Science. His academic appointment places him within one of Europe's leading research institutions, where he maintains an active research program focused on evolutionary biology and genomics. Dr. Vizueta Moraga's research interests span evolutionary biology, entomology (particularly ant research), genomics, bioinformatics, social evolution, and fungal symbiosis. His work demonstrates a strong focus on the evolutionary mechanisms driving adaptation in social insects, particularly ants, and their symbiotic relationships with fungi. His expertise bridges computational biology with field-based evolutionary studies, creating a unique interdisciplinary approach to understanding complex biological systems. Analysis of his recent publications (2023-2025) reveals a consistent research trajectory centered on ant evolution, genomics, and symbiotic relationships. His work spans multiple subfields including venom evolution, social immunity mechanisms, domestication genomics of symbiotic fungi, and the development of bioinformatic tools for genomic analysis. A notable trend is his contribution to understanding the co-evolutionary dynamics between ants and their fungal partners, as well as the genomic signatures of these long-term symbiotic relationships. Dr. Vizueta Moraga has made significant contributions through both primary research articles and methodological tools like GALEON, which advances the field of genome analysis. His research has garnered attention across multiple platforms, with mentions in news outlets, social media, and academic networks. While specific details about his advising activities and grants are not provided in the available information, his collaborative publications suggest active engagement with research teams across international boundaries. His work appears to involve substantial computational components alongside traditional biological research methodologies. Based on publication patterns and institutional affiliation, Dr. Vizueta Moraga likely operates within research groups focused on evolutionary genomics and social insect biology at the University of Copenhagen, contributing to both theoretical frameworks and practical computational tools in his field.
Mikkel Kenneth Elk serves as an Instructor in the Department of Computer Science at the University of Copenhagen, based at Universitetsparken 1, 2100 København Ø. His role centers on academic instruction and departmental support within Denmark's premier computing institution. His research spans foundational and applied computer science domains, with emphasis on: Artificial Intelligence methodologies Large-scale data analysis techniques Algorithmic optimization Software development paradigms Computational theory applications
Hans Jakob Larsen is a Forensic Geneticist at the Department of Forensic Genetics within the Institute of Forensic Medicine, University of Copenhagen's Faculty of Health Sciences. With over 25 years of continuous service since 1999, he conducts forensic DNA analysis, manages crime case investigations, and provides expert testimony in Danish courts. His educational background includes: Master of Science (cand. scient.) from University of Aarhus (1992) Ph.D. in Molecular Biology from University of Aarhus (1994) Specialized training in Forensic Statistics (2005) and DNA analysis techniques Larsen's research centers on forensic DNA methodologies, specializing in mitochondrial DNA sequencing, STR analysis, and complex DNA mixture interpretation. His work bridges molecular biology and criminalistics, developing protocols for biological trace evidence analysis and statistical evaluation of DNA evidence. Recent publications demonstrate increasing focus on international collaborative frameworks for standardizing DNA mixture interpretation and software validation in forensic laboratories. His publication trends since 2015 show concentrated efforts in probabilistic genotyping systems (STRmix™) and expert software development (EDNA), addressing critical challenges in low-template DNA and mixture deconvolution. The 2025 ReAct project represents current work establishing cross-laboratory standards for DNA recovery analysis under activity-level propositions. Larsen has managed forensic laboratories (5-16 technicians) and temporarily led the Crime Case Section (20 academics, 40 technicians). His teaching portfolio includes specialized courses for Danish police on biological trace analysis and seminars for legal professionals on DNA evidence interpretation. He contributed to the 2005 Thai Tsunami Victim Identification operation and maintains active casework involvement.
Giampiero Iaffaldano serves as Associate Professor in Solid Earth Geophysics at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen, Denmark. He has held this position since June 2015, following a tenured Assistant Professor role at the Australian National University's Research School of Earth Sciences (2010-2015) and a Reginald A. Daly Postdoctoral Fellowship at Harvard University (2008-2010). His academic journey reflects an international career spanning European, North American, and Australian institutions. His educational credentials include: PhD in Natural Sciences - Geophysics (summa cum laude), Ludwig–Maximilians University Munich, Germany (2007) MSc in Physics (summa cum laude), University of Rome "La Sapienza", Italy (2003) Iaffaldano specializes in observational geodynamics, developing computational models constrained by geological and geophysical observations to understand forces controlling the coupled lithosphere-mantle system. His research integrates forward and inverse modeling approaches with empirical data to address fundamental questions about Earth's dynamic processes across spatial and temporal scales. His work bridges theoretical geophysics with practical applications in hazard assessment and resource management. His recent publication record (2023-2025) reveals a strong thematic focus on plate boundary dynamics, mantle plume influences on plate motions, and earthquake cycle processes. His research spans global to regional scales with particular emphasis on the North Atlantic region (Icelandic plume effects), South American plate boundaries, and microplate systems in Asia and Europe. The consistent presence of high-impact journals like Earth and Planetary Science Letters and Geophysical Journal International demonstrates his standing in the geophysics community. Among his significant scientific recognitions: Elected member of the Young Academy of Europe (2017) Ringwood Fellowship at Australian National University (2010) Reginald A. Daly Postdoctoral Fellowship at Harvard University (2007) Elite Netzwerk PhD scholarship of the Bavarian Government (2005) Professor Iaffaldano has secured approximately DKK 14,000,000 in research funding from major international sources including the Independent Research Fund Denmark, Villum Foundation, National Science Foundation (USA), and Australian Research Council. He chairs the steering committee for DanSeis – Danish National Center for Seismic Instrumentation. His teaching portfolio includes Geodynamics (MSc), Quantitative Problem-Solving in Geosciences (BSc), and specialized PhD courses on plate kinematics. He serves as Associate Editor for Geosphere and has reviewed for premier journals including Nature, Science, and Journal of Geophysical Research. His extensive international collaborations with institutions in Denmark, Australia, USA, Chile, and Europe reflect the global nature of contemporary geophysical research and his leadership in the field.
Jesper Bruun serves as an Associate Professor in the Department of Science Education at the University of Copenhagen's Faculty of Science, specializing in physics education research with emphasis on digital technologies and network analysis in upper-secondary and university contexts. Education PhD in Physics Education Research Cand. Scient. in Physics Research Focus : Bruun pioneers the application of network science to educational research, examining cognitive-social learning interplay, kinesthetic physics exercises, and Learning Analytics. His methodology leverages big data to map academic networks and optimize educational systems across levels, with recent expansion into AI-driven pedagogy. Current Research Trends : Recent publications (2025) demonstrate concentrated exploration of network-based analysis for student engagement patterns, AI chatbot integration in STEM instruction, and physical analogy development. These works bridge theoretical frameworks with practical classroom applications across Danish upper-secondary and university settings. Academic Leadership : Bruun actively supervises bachelor/thesis projects on digital education tools and kinesthetic methods while co-organizing major conferences (ESERA 2025, Unfinished Business 2025). His collaborative projects—including KA-STEM evaluation and scientist-teacher partnerships—highlight commitment to evidence-based educational transformation through cross-institutional teamwork.
Marcus Marx Thomsen serves as a Lecturer within the Department of Computer Science at the University of Copenhagen, based at Universitetsparken 1, 2100 København Ø, Denmark. His academic role focuses on teaching and research within the university's primary computer science division. His scholarly work spans foundational and applied aspects of computing, with emphasis on: Theoretical and practical Algorithms development Programming Languages design and implementation Modern Software Engineering practices Artificial Intelligence systems and methodologies Data Science analytics frameworks Computer Science education innovation Dr. Thomsen maintains active engagement in departmental academic initiatives while cultivating expertise across these interconnected domains. Professional correspondence may be directed to math@di.ku.dk .
Mikkel Willén serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, based at Universitetsparken 1, 2100 København Ø, Denmark. His primary academic affiliation is with DIKU (Datalogisk Institut), the university's Department of Computer Science, where he contributes to teaching and research activities within the institution's Faculty of Science framework. His research spans foundational and applied domains of Computer Science, with emphasis on computational theory and practical implementation. Key areas include: Algorithm design and analysis Programming language theory and development Machine learning and neural network architectures Large-scale data processing systems Software development methodologies Computational complexity Professional engagement is maintained through the departmental website https://diku.dk/ and direct academic correspondence.
Martin Petr serves as an Assistant Professor in the Section for Molecular Ecology and Evolution at the University of Copenhagen's Faculty of Health and Medical Sciences, where he conducts interdisciplinary research at the intersection of genomics, ecology, and computational modeling. His work leverages ancient DNA and spatio-temporal frameworks to address evolutionary and conservation questions. His primary research interests span Population Genomics , Ancient DNA Analysis , and Spatio-temporal Modeling , with specific focus on sustainable wildlife management and evolutionary adaptation. Recent projects investigate beluga whale population dynamics in Arctic ecosystems and the spread of beneficial genetic variants through historical populations. He develops computational tools like slendr to simulate complex population genomic scenarios on geographic landscapes. Petr's publication record demonstrates strong engagement with high-impact journals including PNAS and eLife , particularly in the period 2022-2024. His work shows consistent methodological innovation in genomic simulation frameworks and applications to conservation archaeology, with notable collaborations across international institutions. Multiple publications have received significant attention including news coverage and social media dissemination. His research has been supported through standard academic channels as evidenced by publication outputs, though specific grants aren't detailed in the provided text. He maintains active academic advising responsibilities within his research group at the Globe Institute.
Michael Krabbe Borregaard is an Associate Professor at the Globe Institute's Section for Biodiversity, University of Copenhagen. He holds a PhD in Ecology and M.Sc. in Biology. His research group investigates how Earth dynamics influence ecological and evolutionary processes, specializing in island and mountain ecosystems as biodiversity hotspots. Primary research interests include: Range size distributions in macroecology Anthropogenic extinction drivers on islands Eco-evolutionary dynamics in fragmented landscapes Global biodiversity patterns and conservation Integration of molecular approaches in biogeography His publications focus on macroecological patterns, island biogeography, extinction dynamics, and computational tools for ecology. Recent work includes global floristic mapping, plant-frugivore networks, and phylogenetic studies of plant radiations. Engagements include climate advocacy in higher education and media contributions on ecological topics. He coordinates the Macroecology research group and maintains active collaborations across biogeography and conservation networks.
