جستجوی استاد راهنمای دانشگاهی

Nadia Shardtمشاهده پروفایل

دانشیار

• Interfacial thermodynamics
• Phase behavior with curvature
• CO2 storage in subsurface reservoirs
• +۹ مورد دیگر

Nadia Shardt is an Associate Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). Her research focuses on interfacial thermodynamics, particularly in systems with nanoscale curvature, with applications spanning atmospheric science, biomedical cryopreservation, and industrial process optimization. She contributes to teaching courses such as TKP4580 - Chemical Engineering Specialization Project and KP3100 - Chemical Engineering . PhD in Chemical Engineering (University of Alberta, 2019) BSc in Chemical Engineering (University of Alberta, 2015) Postdoctoral researcher at ETH Zurich (2020-2022) Her work addresses fundamental challenges in phase behavior under curvature constraints, combining microfluidic experimentation , Gibbsian thermodynamic modeling , and machine learning techniques to study systems like CO 2 storage media, cloud microphysics, and food emulsions. Recent publications emphasize surface tension modeling for complex multi-component systems and cryoprotectant loading efficiency. Scientific awards include the ETH Postdoctoral Fellowship Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship Outstanding Academic Fellows Programme 2024-2028

Kjetil Taskénمشاهده پروفایل

استاد

• Immunoregulation
• Cancer Immunology
• Precision Medicine
• +۲ مورد دیگر

Kjetil Taskén is a full Professor at the Institute for Clinical Medicine, Faculty of Medicine, University of Oslo , and serves as the Director of the Institute for Cancer Research, Oslo University Hospital . He leads the OUS Center for Precision Medicine in Cancer (SEPREK) since 2021 and has held multiple leadership roles in molecular medicine initiatives, including Director of the Norwegian Centre for Molecular Medicine (NCMM) and co-founder of Bioteknologisenteret. Current affiliations: University of Oslo | Oslo University Hospital Education: Dr.med. (Molecular Cell Biology) | Cand.med. | Research Leadership Course Research interests include immunoregulation in cancer , precision oncology , cellular signal transduction in disease , and drug development targeting immune checkpoints . His work bridges translational immunology and molecular oncology , with a focus on regulatory T cell modulation for cancer therapy. Scientific contributions span high-impact publications on regulatory T cell inhibition , precision medicine implementation , and signal pathway drug targeting . Recent articles highlight collaborations across Europe (PCM4EU, PRIME-ROSE) and Norway (IMPRESS-Norway), with methodological advances in tumor microenvironment modeling and mutation timing analysis . Awards : King Olav V Cancer Research Prize | Anders Jahre Medical Prize | Faculty Medal (UiO) | Norwegian Academy of Science and Letters Leadership : Director of NCMM | Founder of Bioteknologisenteret | Head of multiple national cancer research initiatives Labs and teams include the Cancer Immunology Section at Oslo University Hospital and affiliations with the K. G. Jebsen Center for B-Cell Malignancies , where he co-leads research groups.

Trond Vidar Hansenمشاهده پروفایل

استاد

• Organic Chemistry
• Biochemistry
• Pharmacology
• +۳ مورد دیگر

Trond Vidar Hansen is a Professor at the Department of Pharmacy, University of Oslo , and leads the LIPCHEM research group . He collaborates with institutions including the University of Bergen and Vestlandets Innovasjonsselskap through the VITADEL project, which recently received NOK 5,000,000 in verification support from the Research Council of Norway. His research focuses on the synthesis and biological evaluation of specialized pro-resolving lipid mediators derived from omega-3 fatty acids, with applications in inflammation resolution, neuroinflammation, and drug development. University : University of Oslo Department : Department of Pharmacy Research Group : LIPCHEM Collaborations : University of Bergen, Vestlandets Innovasjonsselskap Research Interests : H Hansen's work centers on the organic synthesis of bioactive lipid derivatives, particularly pro-resolving mediators from omega-3 polyunsaturated fatty acids. His team investigates their roles in inflammatory disease models , neuroinflammation , and PPAR receptor activation , aiming to develop therapeutic agents for conditions like chronic pain, diabetes, and neurodegenerative disorders. The research integrates stereoselective chemistry , biochemical profiling , and pharmacological evaluation to validate these mediators' clinical potential. Recent Awards : 2025: NOK 2,000,000 verification support from Research Council of Norway 2025: Co-leader of NOK 5,000,000 VITADEL project Publications : His articles (2015–2024) reveal a focus on stereoselective synthesis of resolvins, protectins, and maresins, with applications in anti-inflammatory and neuroprotective therapies . Key subfields include omega-3 metabolite profiling , PPAR agonist design , and biosynthetic pathway elucidation , often utilizing human cell models and mouse disease models . Collaborative projects emphasize commercialization of academic research and translational medicine .

Anne Berit C. Samuelsenمشاهده پروفایل

دانشیار

• Polysaccharide Chemistry
• Pharmacognosy
• Carbohydrate Polymers
• +۴ مورد دیگر

Anne Berit C. Samuelsen serves as Associate Professor at the Department of Pharmacy, University of Oslo, where she also holds the position of Head of Education. Her academic foundation includes a Cand.pharm. degree and Dr.scient. doctorate, establishing her expertise in pharmaceutical sciences. Her research centers on polysaccharides from natural sources—particularly higher plants, cereals, and fungi (Basidiomycota)—with specialized focus on β-glucans. Key interests include carbohydrate chemistry, pharmacognosy, and the development of biopolymer-based pharmaceutical applications. Her work bridges fundamental structural characterization with practical drug delivery solutions, notably through liposome coating technologies and immunomodulatory compound development. Recent publications reveal a strong trajectory in fungal polysaccharide research, particularly with Pleurotus eryngii and Albatrellus ovinus species. Her team employs advanced techniques like diffusion-ordered NMR spectroscopy to analyze polysaccharide structures while investigating biological activities related to immune receptor binding (Dectin-1, Toll-like receptors) and therapeutic applications. This work demonstrates consistent output in high-impact journals including Carbohydrate Polymers and ACS Applied Bio Materials . She actively contributes to academic instruction through courses such as FARM1150 (Pharmaceutically Oriented Biochemistry), FARM3100 (Pharmacognosy), and FARM5200 (Use of Biopolymers in Pharmaceuticals). Her leadership extends to the Bioactive Natural Substances and Health Effects (BioNatH) research group and the Glyconor Consortium, where she investigates natural product applications for health improvement.

Benjamin Ricaudمشاهده پروفایل

دانشیار

• Machine Learning
• Graph Signal Processing
• Explainable AI
• +۳ مورد دیگر

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference. Ricaud's research spans: Fundamental ML : Graph signal processing, explainable AI, and generative models Applications : Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation Emerging domains : Self-supervised learning and biological data analysis using Raman spectroscopy His recent publications (2020-2025) cluster in three domains: Graph ML methodologies (35%) Biomedical/biological applications (40%) Geoscience/climate informatics (25%) with consistent focus on interpretability and real-world data challenges. Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.

Mingyuan Zhang Betancourtمشاهده پروفایل

پژوهشگر ارشد

• Antibiotics and Global Public Health
• Anthropology of Pharmaceuticals
• Medical Anthropology
• +۶ مورد دیگر

Dr. Mingyuan Zhang Betancourt is a socio-cultural anthropologist affiliated with the University of Oslo's Institute of Community Medicine and Global Health. Specializing in cross-cultural analysis between China and Africa, her work examines pharmaceutical supply chains and postcolonial development dynamics. PhD in Anthropology, University of Western Ontario (2018) Former Writing Fellow, University of Toronto Scarborough Her research spans multiple disciplines: Pharmaceutical Anthropology : Analyzing antibiotic shortages across India/China production networks China-Africa Relations : Investigating cultural identity formation through historic sugar plantations and Confucius Institute operations Political Ecology : Documenting resource conflicts in Malagasy agrarian systems Recent publications demonstrate: 2024 study on pharmaceutical production history 2023 comparative analysis of China-India trade disputes 2022 critique of cultural standardization in educational programs 2021 pandemic discourse analysis She actively explores: Global antibiotic accessibility Postcolonial development paradigms Transnational identity politics

Trine Grønhaug Halvorsenمشاهده پروفایل

استاد

• Analytical Chemistry
• Mass Spectrometry
• Protein Analysis
• +۳ مورد دیگر

Trine Grønhaug Halvorsen is a Professor at the University of Oslo's Department of Pharmacy, within the Faculty of Mathematics and Natural Sciences. Her research focuses on developing innovative analytical methods for protein analysis in complex biological samples using mass spectrometry. She specializes in sample preparation techniques, smart sampling strategies, and biomarker quantification. Education: PhD in Drug Analysis (2003), Cand.pharm. (1998) Awards: Publication Award (2001) for pioneering liquid-phase microextraction work Research interests include molecularly imprinted polymers, antibody-based capture methods, and electromembrane extraction. Her work emphasizes improving analytical sensitivity and speed for low-abundance proteins in clinical and biomedical contexts. Recent articles highlight advancements in smart samplers, dried blood spot analysis, and LC-MS-based protein quantification. These studies address challenges in biomarker detection and clinical diagnostics. Labs/Teams: Pharmaceutical Analytical Chemistry Group, SmartProteinAnalysis@UiO Teaching: Courses in bioanalytical chemistry, drug analysis, and sample preparation

• Metabolomics
• Antibiotic Resistance
• Biotechnology
• +۵ مورد دیگر

Per Bruheim is a Professor at the Department of Biotechnology and Food Science, Norwegian University of Science and Technology (NTNU). He leads the Bruheim research group, focusing on Deep Phenotyping of prokaryotic and eukaryotic systems using advanced metabolomics, fluxomics, and lipidomics techniques. He is the scientific leader of the NV faculty Mass Spectrometry lab and has developed targeted/non-targeted MS methods applied to diverse biological systems. Teaching roles include leading the 2-year and 5-year Biotechnology programs (MSBIOTECH and MBIOT5). He teaches courses such as TBT4140 Biochemical Engineering, TBT4110 Microbiology, and TKP4170 Process Design. Current research projects include targeting antibiotic resistance via bacterial stress responses (Trond Mohn Foundation), chemically defined cell culture media development, and peptide drug inhibition of translesion synthesis mechanisms. Research interests center on metabolomics and systems biology approaches to study microbial physiology and antibiotic resistance, with applications in bioprocessing and sustainable protein production. His lab employs mass spectrometry for precise metabolic profiling and collaborates internationally on projects involving lipidomics and flux analysis. Advising and grants involve mentoring over a dozen master’s theses on topics like microbial fermentation optimization, single-cell protein production, and recombinant protein expression. He actively pursues funding for projects addressing AMR mechanisms and bioprocess innovation. The Bruheim group also collaborates with industry on sustainable raw material utilization for microbial cultures. Labs/Teams: Leads the Mass Spectrometry facility at NTNU and directs the Bruheim research group within the Institute of Biotechnology (IBT). Collaborates with national/international partners in microbiology, metabolomics, and bioprocessing.

Kristine Beate Walhovdمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuropsychology
• Brain Aging
• +۵ مورد دیگر

Kristine Beate Walhovd is a Professor at the Department of Psychology , University of Oslo, and co-leader of the Center for Lifespan Changes in Brain and Cognition (LCBC) . She is affiliated with the UiO:Life Science initiative and has led major projects like Lifebrain (€2.5M) and Neurocognitive Plasticity (ERC Starting Grant, €1.5M). Current roles: Professor (since 2016), Co-leader of LCBC Key affiliations: University of Oslo, Lifebrain Consortium, UiO:Life Science Her research focuses on lifespan brain and cognitive changes , examining both positive/negative developmental trajectories from age 4 to 90. She studies interactions between biomedical risks (e.g., Alzheimer's, fetal drug exposure) and cognitive outcomes, employing MRI , DTI , and ERP methodologies. Recent publications highlight work on Alzheimer's biomarkers , sleep-brain interactions , memory consolidation , and fetal brain influences . Her 2025 papers in Scientific Reports and Neurobiology of Aging examine hippocampal stability and brain network segregation. Awards include: 2015 University of Oslo Research Prize (shared with Anders Fjell) 2011 Member, Norwegian Academy of Sciences and Letters 2006 His Majesty the King's Gold Medal for best doctoral thesis She supervises doctoral candidates and teaches cognitive neuroscience , experimental methods , and thesis writing .

Jason Matthewsمشاهده پروفایل

استاد

• Immunometabolism
• Cancer Biology
• Inflammation
• +۴ مورد دیگر

Jason Matthews is a Professor in the Department of Nutritional Sciences at the Faculty of Medicine, University of Oslo. He also holds a status-only professorship at the Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Canada. His research focuses on the aryl hydrocarbon receptor (AHR) and its target gene PARP7/TIPARP in the context of cancer, inflammation, and metabolic diseases. Current positions: University of Oslo (since 2015), University of Toronto (status-only since 2016) Education: PhD (2001, Michigan State University), BSc (1997, University of Western Ontario) Matthews' research investigates how AHR and PARP7 enable cancer cells to evade immune detection and promote tumor growth. His work explores therapeutic strategies combining AHR/PARP7 inhibition with immunotherapy to combat cancer progression. Additional studies examine the AHR-PARP7 axis in chronic inflammatory conditions like obesity and atherosclerosis. Recent publications highlight his team's work on AHR inhibition in pancreatic cancer, PARP7's role in interferon signaling, environmental pollutant impacts on immune gene expression, and novel chemical compounds targeting the AHR pathway. These studies employ cell biology, gene editing, genomics, and preclinical cancer models. Collaborations span institutions including University of Toronto, Karolinska Institute, and University of Leeds, focusing on cancer immunology, nutritional sciences, and drug development.

• Epidemiology
• Genetic Epidemiology
• Public Health
• +۹ مورد دیگر

Neil Martin Davies is a Researcher at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU) . His work bridges epidemiology, genetics, and public health, with a focus on causal inference, Mendelian randomization, and socioeconomic health disparities. His research explores the intersection of genetic epidemiology , developmental psychology , and clinical outcomes . Key themes include the impacts of antiseizure medications in pregnancy , cardiometabolic risks in psychiatric populations , and health policy implications of Mendelian randomization . Recent publications highlight methodological advancements in directed acyclic graphs (DAGs) , instrumental variable analysis , and family-based sampling . His work frequently addresses parental education effects , sleep patterns , and genetic correlations in large cohorts like UK Biobank. Neil Martin Davies contributes to scientific reporting standards , co-authoring the STROBE-MR guidelines for Mendelian randomization studies. His collaborations span neurology , mental health , and health economics , emphasizing causal relationships over correlational findings.

Alvaro Köhn-Luqueمشاهده پروفایل

دانشیار

• Mathematical Oncology
• Computational Biology
• Biostatistics
• +۷ مورد دیگر

Alvaro Köhn-Luque is an Associate Professor at the Oslo Center for Biostatistics and Epidemiology, University of Oslo, and Group Leader at the Department of Medical Genetics, Oslo University Hospital. His work bridges mathematical modeling with clinical applications, particularly in cancer research. His academic background includes a PhD in Mathematical and Computational Biology from Complutense University of Madrid (2012), preceded by multiple Master's degrees in Mathematics and Physics from Spanish universities. Dr. Köhn-Luque's research focuses on mathematical oncology , developing computational models to understand cancer dynamics and improve treatment strategies. His work spans multiscale modeling of tumor growth, personalized cancer medicine through computer simulations, and biomarker discovery using machine learning approaches. He has made significant contributions to modeling breast cancer progression and treatment response, particularly in the context of endocrine therapy and CDK4/6 inhibition. His recent publications demonstrate a strong trend toward integrating mechanistic learning approaches that combine mathematical models with machine learning techniques. This hybrid methodology allows for more accurate prediction of treatment outcomes while maintaining biological interpretability. His work frequently involves collaboration with clinical researchers to ensure models are grounded in real patient data and have direct translational potential. Computational modeling of tumor heterogeneity and drug response Development of methods for phenotypic deconvolution in cancer cell populations Integration of multi-omics data for personalized treatment prediction Application of birth-death processes to model tumor evolution Creation of user-friendly computational tools for biomedical researchers Dr. Köhn-Luque has supervised multiple PhD students including Even M Myklebust, Salim Ghannoum, and Xiaoran Lai, and has secured funding for projects including RESCUE, BigInsight, and Integreat. His research demonstrates a consistent trajectory from theoretical mathematical biology toward increasingly clinically relevant applications in personalized cancer medicine.

• Pharmacokinetics
• Pharmacometrics
• Population pharmacokinetics
• +۵ مورد دیگر

Markus Hovd is a Senior Lecturer at the Section for Pharmacology and Pharmaceutical Biosciences within the Department of Pharmacy at the University of Oslo's Faculty of Mathematics and Natural Sciences. He also maintains an affiliation with the Neurosurgical Department. His work focuses on pharmacokinetic research with applications in clinical practice and personalized medicine. Philosophiae Doctor (PhD), Department of Pharmacy, University of Oslo, 2024 Master of Pharmacy, Department of Pharmacy, University of Oslo, 2019 Hovd's primary research interest centers on the mechanisms behind pharmacokinetic inter-individual variability and the development of models to aid in personalization of medicine. His research methodology includes population- and physiology-based pharmacokinetic models, in vitro-in vivo extrapolation, and clinical trials. His work spans multiple therapeutic areas including kidney transplantation, obesity-related pharmacokinetics, and cerebrospinal fluid dynamics. Analysis of Hovd's publications reveals a strong focus on pharmacokinetic applications in specialized patient populations, particularly kidney transplant recipients and patients who have undergone bariatric surgery. His research demonstrates expertise in population pharmacokinetic modeling, drug transport mechanisms, and the impact of physiological changes on drug disposition. A significant portion of his work addresses the challenges of drug dosing in complex clinical scenarios where standard pharmacokinetic assumptions may not apply. Hovd serves as a representative for temporary teaching staff on both the Teaching Committee and the Department Board at the Department of Pharmacy. His teaching portfolio includes courses in Pharmaceutical Biochemistry, Pharmacotherapy, Pharmaceutical Microbiology, Research Preparation in Biology, and Applied Pharmacokinetics and Dosing in Clinical Practice. Hovd is actively involved in multiple research groups including Pharmacokinetics, Kidney Transplant Medicine, and the KG Jebsen Center for Cerebrospinal Fluid Research, where he contributes his pharmacokinetic expertise to interdisciplinary neuroscience research.

Arnoldo Frigessiمشاهده پروفایل

استاد

• Statistics
• Biostatistics
• Machine Learning
• +۵ مورد دیگر

Arnoldo Frigessi is Professor of Statistics at the University of Oslo, where he leads the Oslo Center for Biostatistics and Epidemiology and serves as director of BigInsight—a Centre of Excellence for Research-Based Innovation. This consortium unites industry, business, public actors, and academia to develop model-based machine learning methodologies for big data, with strong emphasis on health applications. His research centers on statistical methodology driven by real-world scientific challenges, specializing in stochastic models for complex dependence structures and computationally intensive inference algorithms. Core application domains include: Genomics and personalized cancer therapy (particularly breast and lung cancer) Infectious disease modeling (including pandemic response) eHealth, sensor data analysis, and recommender systems Personalized marketing and viral diffusion dynamics Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in cancer systems biology , where he integrates multi-omics, single-cell transcriptomics, and computational modeling to decode tumor evolution under therapy. Parallel work advances infectious disease epidemiology through time-varying reproduction number estimation and mobility-based transmission modeling, while methodological innovations span synthetic data generation (TVineSynth), causal inference via target trial emulation, and Bayesian ranking models for recommender systems. Scientific Awards: No specific awards mentioned in source materials Frigessi actively supervises graduate students, including a Department of Informatics project on "Utilizing covariate information in recommender systems." His leadership of BigInsight—funded as a Research-Based Innovation Centre by the Research Council of Norway—secures major grants supporting interdisciplinary collaborations with industrial partners (e.g., Telenor, DNB) and public health institutions. Current projects integrate real-world clinical data with mechanistic models for treatment optimization. He directs BigInsight's multidisciplinary team of statisticians, computer scientists, and domain experts, while leading the Oslo Center for Biostatistics and Epidemiology's efforts in developing statistical frameworks for complex health data. These initiatives drive Norway's national strategy for data-driven health innovation.

• Marine Biochemistry
• Seafood Science
• Nutrition and Cardiovascular Disease
• +۷ مورد دیگر

Karl-Erik Eilertsen is a Professor in Marine Biochemistry/Seafood Science at the Norwegian College of Fishery Science, UiT The Arctic University of Norway. He is based in Tromsø and is actively involved in research and teaching related to seafood composition, health effects, and sustainable marine resources. Research Interests: Seafood and health, particularly nutrition and cardiovascular disease Biologically active ingredients in seafood and seafood waste Effects of food processing on protein and lipid quality Antioxidant, anti-inflammatory, and anti-hypertensive properties of marine compounds Marine bioprospecting of benthic organisms His recent publications (2021–2025) focus on the nutritional analysis of Arctic macroalgae (e.g., Palmaria palmata), lipid extraction methods, bioactive peptides, and the use of low-trophic marine species in aquaculture and human nutrition. These works reflect a strong trend toward sustainable food systems, valorization of underutilized marine biomass, and the development of functional foods and feeds. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: He supervises numerous students, as evidenced by co-authorship on multiple theses and research articles. He is a member of the SECURE project, which focuses on novel marine resources for food security and safety, indicating active grant involvement. Labs and Teams: Member of the Seafood Science research group at the Norwegian College of Fishery Science. Involved in collaborative research with colleagues such as Edel Oddny Elvevoll, Hanne K Mæhre, and Ida-Johanne Jensen.