Find Academic Supervisors

• Systems Biomedicine
• Neurodegenerative Diseases
• Computational Modelling
• +6 more

Alexander SKUPIN is an Associate Professor and Chief Scientist in the Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg, specializing in Modelling of Biomedical Data. His research focuses on computational systems biology, neurodegenerative diseases, and integrative multi-omics analysis. Key research interests include modeling cellular energy metabolism, microglial dynamics in neurodegeneration, and calcium signaling dysfunction in Parkinson’s and Alzheimer’s diseases. His work combines experimental data with advanced computational methods to dissect disease mechanisms and predict therapeutic targets. Recent publications highlight innovations in: Sex-specific transcriptomic changes in tauopathy models Computational models of astrocytic morphology and mitochondrial efficiency Multi-omics integration for Parkinson’s disease intervention points Epidemiological modeling using Kalman-filtered SIRS networks No scientific awards explicitly mentioned. Advising and grants: No specific advisees or grant details listed, but his work implies leadership in collaborative projects involving organoid models and patient-derived xenografts. Labs/Teams: Part of LCSB’s Integrative Cell Signalling group, collaborating on systems biomedicine initiatives involving computational modeling and experimental validation.

• Computational Biology
• Systems Biomedicine
• Machine Learning
• +5 more

Jorge GONCALVES is a Full Professor at the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, and a Principal Research Associate at the University of Cambridge's Department of Plant Sciences. He holds expertise in computational biology, systems biomedicine, and machine learning applications in healthcare. His roles include leading research on gene regulatory networks, epidemic modeling, and deep brain stimulation technologies. Education: Licenciatura from University of Porto (1993), M.S. and Ph.D. from MIT (1995/2000). Postdoctoral work at MIT and Caltech, followed by academic positions at the University of Cambridge (Lecturer, Reader, Principal Research Associate). Visiting Professorships at the University of Luxembourg and Caltech. Research Interests : Dynamical systems modeling, network inference, biomedical applications of AI, and systems biology. His work spans drug repositioning, early warning signals for disease transitions, and multiomics analysis in immunology. Publications : Focused on interdisciplinary approaches combining machine learning with biological systems. Key themes include computational methods for gene network analysis, epidemic monitoring systems, and AI-driven medical diagnostics. Awards : Not explicitly listed in provided texts. Advising and grants: Extensive collaboration with institutions globally, including leadership in EU-funded projects and industry partnerships. Active in mentoring researchers across computational biology and engineering disciplines. Labs/Teams: Leads LCSB teams focused on systems biomedicine and AI-driven health solutions. Collaborates with the University of Cambridge on plant sciences and robotics initiatives.

• Colorectal Cancer (CRC)
• Tumor Metabolism
• Cancer Drug Resistance
• +3 more

Elisabeth Letellier is an Assistant Professor at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Molecular Disease Mechanisms group within the Department of Life Sciences and Medicine. Her research focuses on dissecting molecular mechanisms underlying colorectal cancer (CRC) progression, drug resistance, and tumor microenvironment interactions. She collaborates with institutions like the Integrated BioBank of Luxembourg (IBBL) and Laboratoire National de la Santé (LNS) to develop patient-derived 3D tumor models and in vivo systems for translational research. With over 40 publications (H-index 27, 3196 citations) and securing €9M in competitive grants since 2013, her work also includes contributions to three patents, two as primary author. Research interests include metabolic reprogramming in tumor cells, microbiome-driven cancer progression, and stromal cell interactions. She teaches molecular medicine in the Master in Molecular and Computational Biomedicine program, emphasizing protein structure and biochemistry practical training. Her team's achievements include collecting over 180 high-quality CRC patient samples and advancing drug repurposing strategies targeting KRAS/BRAF mutations. Current projects explore formate-driven metastasis mechanisms, ketogenic diet effects, and gut microbiome modulation in cancer therapy.

• Biochemistry
• Cytokine Signaling
• Cancer Metabolism
• +2 more

Iris Behrmann is a Full Professor of Biochemistry at the University of Luxembourg's Department of Life Sciences and Medicine. Her research focuses on cytokine signaling pathways in cancer and liver diseases, with particular expertise in JAK-STAT signaling, melanoma metabolism, and hepatocellular carcinoma. Her laboratory investigates molecular mechanisms underlying cancer progression, including ferroptosis susceptibility in melanoma, metabolic rewiring in drug-resistant tumors, and extracellular vesicle-mediated communication in hypoxic microenvironments. Recent work explores miRNA regulation of inflammatory pathways and genetic risk factors in chronic liver diseases. Behrmann's publications demonstrate extensive work on therapeutic targeting of metabolic vulnerabilities in cancer, cytokine-mediated transcriptional regulation, and the development of antibody-based interventions. Her research integrates biochemical, molecular, and omics approaches to identify novel therapeutic targets.

• Machine Learning
• Bioinformatics
• Biomedical Data Science
• +3 more

Enrico Glaab is an Assistant Professor and Senior Research Scientist at the University of Luxembourg’s Luxembourg Centre for Systems Biomedicine (LCSB), leading the Biomedical Data Science Group. His roles include Deputy Course Director for the Master in Molecular and Computational Biomedicine and Principal Investigator. He holds academic qualifications from the University of Nottingham (PhD in Computer Science/Bioinformatics) and Saarland University (MSc and BSc in Computational Molecular Biology). Research focuses on applying machine learning and bioinformatics to neurodegenerative diseases like Alzheimer’s and Parkinson’s, emphasizing sex-dependent molecular mechanisms and integrative omics approaches. He has pioneered work on digital health technologies for personalized medicine, including gait sensor integration and biomarker discovery. Key achievements include winning international challenges (e.g., MEDIC, LongHack) and developing predictive models for disease progression and therapy responses. Teaching responsibilities span undergraduate, master’s, and PhD levels, covering systems biology, bioinformatics, and statistical analysis of omics data. Awards include the Bayer Lindau Fellowship, Geoffrey Beene Challenge win, and recognition for contributions to SARS-CoV-2 drug discovery. His interdisciplinary approach bridges computational methods with clinical applications, driving advancements in neurodegenerative disease understanding and treatment strategies.

• Parkinson's Disease
• Mitochondrial Dysfunction
• Neuroinflammation
• +5 more

Anne GRÜNEWALD is a Full Professor and Chief Scientist at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), leading the Molecular and Functional Neurobiology department. Her research focuses on understanding Parkinson's disease mechanisms, particularly mitochondrial dysfunction, neuroinflammation, and environmental-genetic interactions. She directs the Grünewald Lab, pioneering work in iPSC-derived models and organoids to study disease progression. Her work integrates systems biology approaches with clinical data, emphasizing translational research. Key projects include the Luxembourg Parkinson’s study, examining disease heterogeneity and biomarkers, and investigating modifiers of LRRK2-associated penetrance through exposomics and metagenomics. She also explores machine learning applications for predicting motor complications and disease subtypes. Research interests span mitochondrial dynamics, neurodegeneration-inflammation feedback loops, and cross-talk between astrocytes/neurons. Her lab develops novel tools for high-throughput drug screening in Parkinson's models and investigates epigenetic influences on disease onset. Collaborations include international cohorts for deep phenotyping and genomic analysis. Notable contributions include identifying mitochondrial DNA heteroplasmy as a disease biomarker, demonstrating environmental modifiers' role in Parkinson's, and advancing 3D organoid models for patient-specific research. Ongoing projects focus on mitochondrial polygenic risk scores, lifestyle interactions, and neuroinflammatory pathways. Lab activities include generating patient-derived cell lines, analyzing single-cell transcriptomics, and developing biomarker assays. Future work aims to bridge basic research with clinical trials targeting mitochondrial dysfunction and neuroprotection.

• Neurosciences
• Parkinson's Disease
• Neurodegenerative Disorders
• +4 more

Prof. Rejko KRÜGER is a Full Professor in Neurosciences and holder of the FNR PEARL Chair at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB). He leads the Translational Neuroscience group, focusing on Parkinson's disease mechanisms, genetic epidemiology, and systems biomedicine. His work integrates clinical research with stem cell and molecular biology approaches. Key research interests include alpha-synuclein pathology, mitochondrial dysfunction in neurodegeneration, and the development of patient-derived cellular models (e.g., iPSCs). He has pioneered studies on genetic modifiers of Parkinson's disease, such as GBA1 and MIRO1 mutations, and their impact on disease penetrance and progression. Prof. KRÜGER's translational efforts extend to clinical trials, device-aided therapies, and population-based studies like the Luxembourg Parkinson’s Study. His team also investigates cross-cohort prediction of motor complications using machine learning and explores biomarkers for early disease detection. Awards: FNR PEARL Chair (Luxembourg National Research Fund) Labs/Teams: Krüger Lab, Translational Neuroscience group at LCSB Initiatives: Programme Dementia Prevention (PDP), CON-VINCE study on pandemic immunity His interdisciplinary approach bridges basic science, clinical practice, and public health, with a focus on personalized prevention and therapeutic strategies for neurodegenerative diseases.

• Systems Biomedicine
• Neuro-Oncology
• Bioinformatics
• +4 more

Cyril BRZENCZEK is a Postdoctoral Researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) , University of Luxembourg, within the Clinical and Translational Informatics department. His work focuses on integrating multi-omics data (metabolomics, transcriptomics) with clinical and imaging data to advance understanding of neurodegenerative diseases like Parkinson’s and neuro-oncological conditions such as gliomas. He also develops computational models for treatment decision-making in brain tumor therapy. Research interests include systems biomedicine, medical informatics, and neuro-oncology, with a focus on predictive modeling, biomarker discovery, and clinical outcomes analysis. His recent work combines wearable sensor data with molecular profiling to improve disease monitoring and treatment strategies. Articles highlight contributions to glioma biology, neurotoxicity assessment in chemotherapy, and MRI-based diagnostic methods for brain tumors. Collaborations include the Glaab Lab, reflecting a multidisciplinary approach to translational research. No scientific awards are noted in the provided texts. No specific grants or student advisories are listed, though his role implies active participation in research projects. He is affiliated with the LCSB team and contributes to the Clinical and Translational Informatics group’s initiatives in precision medicine and systems-level analysis of human diseases.

• Biopsychology
• Stress Physiology
• Oxytocin System
• +2 more

Robert Kumsta is Full Professor of Biopsychology at the University of Luxembourg's Department of Behavioural and Cognitive Sciences, appointed in 2021. Previously, he served as Professor and Chair of Genetic Psychology at Ruhr University Bochum and held research positions at the University of Freiburg and King's College London. He earned his Ph.D. in Psychobiology from the University of Trier. His research examines how early psychosocial risk factors become biologically embedded to influence long-term health outcomes, with particular focus on stress physiology, oxytocin system dynamics, and epigenetic mechanisms. Utilizing genetic variation analysis, transcriptomics, and stress response characterization, he investigates gene-environment interactions across developmental trajectories. Awards include a prestigious postdoctoral fellowship from the German Academy of Sciences Leopoldina.