Find Academic Supervisors

• Quantum Chemistry
• Computational Chemistry
• Theoretical Chemistry
• +2 more

Andreas Erbs Hillers-Bendtsen serves as a Researcher (Postdoc) in the Department of Chemistry at the University of Copenhagen, where he conducts advanced computational research in quantum chemical methodologies and materials design. His work bridges theoretical frameworks with practical applications in energy and atmospheric science. His research spans Quantum Chemistry, Computational Chemistry, and Materials Science, with specialized focus on cluster perturbation theory for excited states, isotopic fractionation dynamics, and molecular systems for solar energy storage. Recent work demonstrates expertise in developing scalable quantum chemistry algorithms and applying them to photochemical processes and novel carbon-based materials. Analysis of his 51 research outputs reveals a strong trajectory in methodological innovation, particularly in extending cluster perturbation theory frameworks and implementing parallel computing solutions. His publications show increasing interdisciplinary reach, connecting quantum chemistry with atmospheric science and renewable energy materials, evidenced by publications in high-impact journals including Science Advances and Journal of Chemical Physics . Dr. Hillers-Bendtsen maintains active collaborations with leading researchers including Kurt V. Mikkelsen, Mads B. Johansen, and Trygve Helgaker, with co-authorship spanning theoretical developments, experimental validation, and materials synthesis projects. His work has attracted attention across academic platforms including Mendeley and social media, indicating growing influence in computational chemistry circles.

• Evolutionary Biology
• Genomics
• Conservation Genomics
• +5 more

Hernán E. Morales is an Associate Professor at the Section for Hologenomics within the Globe Institute at the University of Copenhagen. He maintains dual affiliations with the Faculty of Science and the Faculty of Health and Medical Sciences, reflecting the interdisciplinary nature of his research bridging evolutionary biology and genomics. Dr. Morales leads the Evolutionary and Conservation Genomics Group, where his research focuses on understanding the mechanisms of genetic diversity generation, maintenance, and loss. His work specifically examines the short- and long-term genomic consequences of population collapse (genomic erosion) and how this process influences extinction risk and species recovery potential. His research integrates (paleo)genomics, evolutionary modeling, and quantitative analyses to study biodiversity loss from a genomic perspective. His work spans endangered species conservation, museum genomics, and computational simulations of evolutionary dynamics. Key research areas include evolutionary genomics, adaptation, conservation, speciation, and biodiversity studies, with particular emphasis on how genomic processes affect species' resilience to environmental changes. Analysis of Dr. Morales' publication record reveals a strong thematic focus on conservation genomics, particularly examining genetic load, genomic erosion, and population dynamics across diverse taxa including wolves, mammoths, and the critically endangered kākāpō parrot. His work consistently connects theoretical evolutionary concepts with practical conservation applications, demonstrating how genomic insights can inform species management and recovery efforts. Dr. Morales has established the Evolutionary and Conservation Genomics Group which brings together researchers to address fundamental questions in evolutionary biology with direct applications to conservation. The group's work combines theoretical modeling with empirical genomic analyses to develop better approaches for species conservation and management in the face of anthropogenic environmental changes.

Mahesha Manjunatha PoojaryView profile

Associate Professor

• Food Chemistry
• Protein Chemistry
• Microalgal Biotechnology
• +5 more

Mahesha Manjunatha Poojary serves as Associate Professor in Food Protein Chemistry at the University of Copenhagen's Department of Food Science, a position he has held since January 2023 and advanced to Associate Professor on the Promotion Programme in September 2024. His career at UCPH spans postdoctoral research (2017-2018), tenure-track Assistant Professor (2018-2022), and current leadership roles in major research initiatives. His academic foundation includes a PhD in Chemical Sciences from the University of Camerino (2017) and an MSc in Chemistry from India's National Institute of Technology Karnataka (2011). International research mobility includes fellowships at RMIT University, DTU, and TU Dresden. Dr. Poojary's research centers on food protein chemistry with emphasis on microalgal biotechnology and analytical food science. His work systematically investigates protein oxidation mechanisms, Maillard reaction dynamics, and protein-polyphenol interactions using advanced LC-MS/MS and chromatography techniques. Current projects focus on valorizing food byproducts, improving dairy/plant-based product stability, and extracting high-value compounds from microalgae. Recent publications (2024-2025) reveal strong thematic concentration on protein modification pathways in food systems, cold plasma applications for grain proteins, and microalgal valorization strategies. These works demonstrate methodological rigor in chromatography and mass spectrometry while addressing industry-relevant challenges in sustainable food production. His scientific recognition includes five major awards: FOOD Junior Scientist (2020, 2021), The Nils Foss Talent Prize (2022), AOCS Early Career Travel Award (2023), and The Australia Awards-Endeavour Fellowship (2016). Dr. Poojary supervises four PhD candidates and leads four significant research projects totaling 56 million DKK in funding. Key grants include DFF-funded initiatives on dairy wastewater valorization using microalgae (Two-in-one project) and cold plasma effects on grain proteins (PROPLASMA), alongside Novo Nordisk Foundation's SEEDFOOD project where he serves as Co-PI and Theme Leader. His research operates within UCPH's Food Proteins group through strategic industry partnerships with Arla Foods, Teagasc Ireland, and academic collaborations with DTU and RMIT University, focusing on translating fundamental protein chemistry discoveries into sustainable food solutions.

• Computational Chemistry
• Quantum Chemistry
• Theoretical Chemistry
• +2 more

Theo Juncker von Buchwald serves as a Guest Researcher in the Department of Chemistry at the University of Copenhagen, located at Universitetsparken 5 in Copenhagen Ø. His research focuses on advanced computational methods in quantum chemistry, particularly developing and implementing cluster perturbation theories for molecular excitation energies and ground-state properties. His primary research interests center on Computational and Theoretical Chemistry, specializing in electronic structure theory. He develops high-accuracy quantum chemical methods including coupled cluster theory, variational excitation-energy functions, and core-valence separation techniques. His work bridges theoretical chemistry with high-performance computing, implementing parallel algorithms for large-scale molecular systems. Analysis of his four recent publications reveals a consistent research trajectory in Cluster Perturbation Theory (CPT), with increasing computational sophistication. His work demonstrates expertise in both theoretical development (variational formulations, Lagrangian approaches) and practical implementation (parallelization, GPU acceleration). Key trends include targeting CCSD/CCSDT accuracy with reduced computational cost, developing diagnostics for model reliability, and extending CPT to core-excited states for X-ray spectroscopy applications. Research Collaborations and Infrastructure: Collaborates extensively with Kurt V. Mikkelsen, Poul Jørgensen, and Jeppe Olsen Utilizes Frontier supercomputer at Oak Ridge National Laboratory Employs hybrid MPI/OpenMP parallelization with GPU acceleration Receives funding from Danish Council for Independent Research (Grants DFF-0136-00081B, DFF-10.46540/3103-00261B)

Dimitrios KolokourisView profile

Research Fellow

• Structural Biology
• Membrane Protein Biochemistry
• Drug Design
• +3 more

Dimitrios Kolokouris is a Postdoctoral Associate Scientist at the Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen. His research focuses on membrane protein biochemistry, particularly SLC transporters (constituting 5% of the human genome), and their role in diseases like cancer and autoimmune disorders, aiming to develop novel pharmacotherapies through structural biology and drug design. His educational background includes: D.Phil (Ph.D) from the University of Oxford Master in Pharmacy (M.Pharm) with distinction from the National and Kapodistrian University of Athens Kolokouris specializes in protein chemistry, structural biology, and computational analysis of membrane transport mechanisms. He employs Cryo-EM, crystallography, and biophysics to study SLC transporters, drawing parallels to existing therapeutics like SSRIs. His work bridges fundamental molecular mechanisms with preclinical assay development for next-generation drug targets. His 2025 publication on influenza virus A M2 viroporin inhibition exemplifies his focus on molecular biophysics and antiviral drug challenges, spanning virology, structural pharmacology, and resistance mechanisms. This aligns with his broader expertise in protein dynamics and therapeutic targeting of membrane proteins. No scientific awards or student advising details are mentioned. As an EU-licensed pharmacist, Kolokouris integrates clinical perspective with cross-functional collaboration in structural drug design and complex data communication.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +3 more

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.

• Environmental Chemistry
• Analytical Chemistry
• Mass Spectrometry
• +3 more

Giorgio Tomasi serves as an Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen, specifically within the Section for Environmental Chemistry and Physics. His research focuses on developing and applying advanced analytical methodologies for environmental analysis, with particular expertise in mass spectrometry and data processing techniques. Dr. Tomasi's research interests center on environmental analytical chemistry, with emphasis on non-target screening methodologies , high-resolution mass spectrometry applications , data compression algorithms , and environmental contaminant analysis . His work bridges analytical chemistry with environmental science to address challenges in identifying and quantifying pollutants in complex environmental matrices. Analysis of his recent publications (2021-2025) reveals a strong focus on methodological advancements in environmental analysis, particularly in non-target screening techniques, data processing algorithms for mass spectrometry, and applications to wastewater and sediment analysis. His research increasingly addresses EU chemical policy needs, as evidenced by collaborations on updating the NORMAN prioritization scheme to support the EU Chemicals Strategy. Dr. Tomasi maintains active collaborations with researchers across Europe, as demonstrated by his co-authorship on multi-institutional publications. His work appears in high-impact analytical and environmental chemistry journals including Analytical Chemistry , Journal of Chromatography , and Water Research . His research group appears to focus on developing computational and analytical approaches for environmental analysis, with particular attention to data processing challenges in high-resolution mass spectrometry. The department's Section for Environmental Chemistry and Physics provides the institutional home for this research, which addresses critical challenges in environmental monitoring and chemical safety assessment.

• Computational Geometry
• Image Analysis
• Stochastic Geometry
• +5 more

Hans Jacob Teglbjærg Stephensen serves as a Special Consultant in the Department of Computer Science within the Faculty of Science at the University of Copenhagen. His research focuses on Image Analysis, Computational Modelling and Geometry, with significant contributions spanning mathematical theory and biomedical applications. His institutional email address (hast@di.ku.dk) and physical location at Universitetsparken 1, 2100 København Ø confirm his active affiliation with the university. Stephensen's research interests center on computational geometry, mathematical imaging, and stochastic modeling, with notable applications in neuroscience. His work bridges theoretical mathematics with practical biomedical applications, particularly in cellular and subcellular structure analysis. His publications demonstrate expertise in developing geometric models for complex biological systems and creating novel mathematical frameworks for image analysis. His publication record from 2021-2024 reveals a strong trajectory with high-impact work in both mathematical journals and top-tier biomedical publications. The 2024 Nature Biotechnology paper on glial progenitor cells demonstrates significant translational impact, while his mathematical works in journals like Journal of Mathematical Imaging and Vision establish theoretical foundations. His research shows a clear progression from theoretical geometric models to applications in neuroscience, with increasing collaboration with biomedical researchers. Stephensen completed his PhD thesis titled 'Geometrical Models and Stochastic Geometry of Subcellular Structures' in 2021 through the University of Copenhagen's Department of Computer Science. His work has garnered significant attention, with several publications picked up by multiple news outlets and shared across social media platforms including X (formerly Twitter) and Facebook. The 2024 Nature Biotechnology paper alone was covered by 25 news outlets and shared by 181 X users, indicating substantial scientific impact and public interest in his research.