Find Academic Supervisors

• Tissue Regeneration
• Stem Cell Biology
• Comparative Regeneration
• +3 more

Prof. Kerstin Bartscherer leads the Animal Physiology department at Osnabrück University, focusing on mechanisms of tissue regeneration in organisms such as planarian flatworms and spiny mice (Acomys). Her research emphasizes scar-free regeneration, cardiac repair, and evolutionary insights into regenerative capabilities. She co-leads the EU-funded Regenerate-IT doctoral network and recently organized the successful 25th German Society for Developmental Biology conference. Her team includes PhD students Saman Ghodsi and Robert Kopplin, and collaborates with junior research group leader Dr. Lena Tveriakhina. Key projects explore stem cell regulation, comparative regeneration strategies, and in vitro models using iPSC-derived cells. Education & Affiliations: No explicit educational background provided in texts, but affiliated with Osnabrück University's Biology faculty. Research Interests: Integrates molecular biology, comparative physiology, and evolutionary approaches to identify barriers to regeneration in mammals versus regenerative species. Prioritizes translational applications for human regenerative medicine. Publications highlight groundbreaking work on spiny mouse ear regeneration mechanisms and cardiac repair processes. Current initiatives include cross-disciplinary training via the Regenerate-IT network, fostering the next generation of regeneration biologists. Grants & Projects: EU MSCA-DN Regenerate-IT funding, institutional support for comparative regeneration studies. Labs/Teams: Animal Physiology lab team with specialized focus areas in stem cell dynamics, transcriptomics, and in vivo/in vitro model systems.

Florent GinhouxView profile

Adjunct Associate Professor

• Immunology
• Innate Immunity
• Dendritic Cell Biology
• +3 more

Florent Ginhoux serves as a Senior Principal Investigator at the Singapore Immunology Network (SIgN), A*STAR, and holds adjunct associate professor positions across Singapore's academic landscape including the Yong Loo Lin School of Medicine at National University of Singapore, Duke-NUS Medical School, Skin Research Institute of Singapore, and Nanyang Technological University's School of Biological Sciences, with additional affiliation at Shanghai Immunology Institute. His academic foundation was established in France: Biochemistry degree from University Pierre et Marie Curie (UPMC), Paris VI Masters in Immunology from Pasteur Institute (2000) PhD from UPMC, Paris VI (2004) Following postdoctoral training at Mount Sinai School of Medicine under Dr. Miriam Merad, he joined SIgN in 2009 after serving as Assistant Professor at Mount Sinai. His laboratory pioneers research on dendritic cell and macrophage ontogeny using high-dimensional platforms including RNA sequencing, single-cell transcriptomics, and mass cytometry (CyTOF) to define cell populations by developmental origin and uncover their specialized immune functions. Recognized as an EMBO Young Investigator, his work bridges fundamental immunology with therapeutic applications for immune pathologies. His mentoring includes PhD student Katharine YANG and postdoctoral researchers Satish Tiwari, Sulvania Susanto, Priya Dhami, and William Ho. The lab actively collaborates on immunomonitoring projects leveraging SIgN's advanced platforms for high-dimensional immune profiling in both human and murine systems.

Lars MaegdefesselView profile

Professor

• Vascular Biology
• Cardiovascular Disease
• Atherosclerosis
• +3 more

Prof. Lars Mägdefessel is a Professor of Vascular Biology at the Technical University of Munich (TUM), leading the Molecular Vascular Biology group within the TUM School of Medicine and Health. His research focuses on non-coding RNAs in vascular diseases, particularly atherosclerosis and aortic aneurysms, using translational approaches for molecular treatment discovery. He holds an MD from Johannes Gutenberg University (Mainz, Germany), completed cardiology clinical training, and postdoctoral research at Stanford University before joining TUM in 2016. Education: MD from Johannes Gutenberg University, Mainz Postdoctoral training at Stanford University, USA Assistant Professor at Karolinska Institute, Sweden Research Interests: Non-coding RNA regulation in vascular pathology Mechanisms of atherosclerotic plaque vulnerability Translational therapies for vascular diseases Advanced aortic aneurysm progression Awards include the ERC Consolidator Grant (2023), Russell Ross Award (2023), and Heisenberg Professorship (2016). His lab is supported by the German Center for Cardiovascular Research (DZHK).

Ralf ZimmerView profile

Professor

• Bioinformatics
• Systems Biology
• Machine Learning
• +5 more

Ralf Zimmer is a Full Professor for Practical Informatics and Bioinformatics at Ludwig Maximilian University of Munich (LMU) since 2001, affiliated with the Department of Informatics in the Faculty of Mathematica, Informatics and Statistics. He concurrently serves as Head of Section III and Head of the Research Group Network Regulation and Modeling / Machine Learning at the Leibniz Institute for Food Systems Biology at TUM (Leibniz-LSB@TUM) in Freising, Germany. His academic foundation includes a Diploma with distinction in Computer Science, Applied Mathematics and Operations Research from the University of Bonn (1981-1986), followed by a summa cum laude Doctorate in Computer Science and Applied Mathematics from CAU Kiel in 1990, where he received dual honors: the CAU Dissertation Award and Best Dissertation Award. Zimmer's research pioneers the integration of bioinformatics, systems biology, and machine learning to decode molecular food-consumer interactions. His group develops causal system models for biological networks, validated through in silico simulations and multi-omics perturbation experiments (transcriptomics/proteomics). Core methodologies include network regulation modeling, algorithmic bioinformatics, and database construction linking food compounds to biochemical networks and cellular phenotypes, with translational goals for food and biotech innovation. His 14 most recent publications (2012-2024) reveal dominant trends in multi-omics immunology and cardiovascular research, featuring computational innovations for high-throughput data analysis. Key themes include host-pathogen dynamics (viral infections), inflammatory disease mechanisms (atherosclerosis), and methodological advances in proteomics/transcriptomics, consistently bridging fundamental bioinformatics with clinical applications. Major scientific recognitions include: CAU Dissertation Award and Best Dissertation Award (1990) Director of LMU's Informatics Department (2010-2012) DFG Review Board membership for biomedical foundations (2008-2016) Leadership of the DFG Bioinformatics Munich Center (2001-2008) Academic Senate election at LMU München (2011) Zimmer directs LMU/TUM's joint B.Sc./M.Sc. bioinformatics programs since 2001 as founding architect of the DFG-funded Bioinformatics Munich initiative. His educational leadership spans spokesperson roles for international training groups (IRTG RECESS), collaborative research centers (SFB1123 Atherosclerosis), and elite programs (Data Science, Munich Center for Machine Learning). Grant stewardship includes directing the DFG Bioinformatics Munich Center and shaping national funding policy via the DFG review board. At Leibniz-LSB@TUM, his research group pioneers databases connecting food compounds to cellular phenotypes through molecular networks, collaborating with Munich universities, clinics, and biotech partners to develop high-throughput sequencing/proteomics applications for future food and health innovations.

Jochen WolfView profile

Professor

• Evolutionary Biology
• Speciation Genomics
• Genome Evolution
• +7 more

Jochen Wolf is Chair of the Evolutionary Biology Division at Ludwig-Maximilians-Universität München (LMU) and a Max Planck Fellow of the Max Planck Institute for Biological Intelligence since 2022. His research integrates evolutionary biology, genomics, and ecology to address fundamental questions about speciation, adaptation, and biodiversity across multiple biological systems. Dr. Wolf's research program applies an integrative approach to understand microevolutionary processes and genetic mechanisms underlying species divergence. His work combines large-scale genomic analyses with laboratory and field experiments to characterize genomic divergence across populations and species. Key empirical systems include natural populations of birds (particularly corvids, swallows, and cuckoos), marine mammals (pinnipeds and killer whales), plant communities, and experimental evolution in fission yeast. His research spans multiple scales from immediate microevolutionary processes to broader evolutionary patterns across time. His recent publications reveal a sophisticated integration of genomic, epigenetic, and ecological perspectives. A notable trend shows increasing focus on structural genomic variation, chromosomal rearrangements, and epigenetic mechanisms as drivers of evolutionary processes. His work demonstrates how these molecular mechanisms interact with ecological factors to shape patterns of biodiversity and adaptation. Dr. Wolf's research has gained significant recognition through publications in top-tier journals including Nature, Science, and Nature Ecology & Evolution. His groundbreaking studies on crow hybrid zones, killer whale ecotypes, and experimental evolution of speciation have been featured in prominent media outlets such as The New Yorker, The Guardian, Scientific American, and Der Spiegel, demonstrating the broad impact of his work. As Principal Investigator, Dr. Wolf actively mentors doctoral students and postdoctoral researchers, fostering the next generation of evolutionary biologists. His lab maintains strong international collaborations, particularly through affiliations with SciLifeLab in Uppsala. Research in his group is supported by multiple funding sources including German Research Foundation grants and European Union programs, enabling both fundamental research and applications to conservation biology. The Wolf lab operates within LMU's Division of Evolutionary Biology, which provides access to state-of-the-art facilities including the Leibniz Supercomputing Centre. The lab maintains strong connections with the Max Planck Institute for Biological Intelligence and SciLifeLab in Uppsala, creating a rich collaborative environment for interdisciplinary research in evolutionary genomics. This network enables comprehensive studies spanning from molecular mechanisms to ecological and evolutionary consequences across diverse biological systems.

Jörg StülkeView profile

Professor

• Microbiology
• Molecular Biology
• Systems Biology
• +11 more

Prof. Dr. Jörg Stülke is a full Professor of Microbiology and Head of the Department of General Microbiology at the Institute of Microbiology and Genetics, University of Göttingen. He has held this position since 2003 and leads an active research group focused on bacterial metabolism and gene regulation. His research spans two major model systems: the pathogenic bacterium Mycoplasma pneumoniae and the well-studied Bacillus subtilis . His group employs systems-level approaches including transcriptomics, metabolomics, and bioinformatics to understand metabolic regulation and gene expression. Key interests include protein phosphorylation, RNA-mediated regulation, mRNA processing, and the role of second messengers such as cyclic di-AMP in bacterial physiology and pathogenicity. The recent publications reveal a strong trend in molecular microbiology, functional genomics, and systems biology. His work often integrates experimental and computational methods, particularly evident in the development and maintenance of the SubtiWiki database for B. subtilis . The research bridges fundamental mechanisms of life with applications in understanding bacterial virulence and cellular homeostasis. He is affiliated with several graduate programs under the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB), including: Molecular Biology (IMPRS) Biomolecules: Structure - Function - Dynamics (GZMB) Molecular Biology of Cells (GZMB) Microbiology and Biochemistry Genome Science (IMPRS) While no individual students are listed, he clearly supervises doctoral candidates through these programs. His group has secured significant research output, including publications in Science , Nucleic Acids Research , and PLOS Pathogens , indicating successful grant funding and collaborative research. The lab maintains a dedicated website at http://genmibio.uni-goettingen.de/ , which serves as a hub for research activities and resources like SubtiWiki.

G. Petur NielsenView profile

Professor

• Bone and Soft Tissue Pathology
• Molecular Genetics of Bone Tumors
• Chordoma Research
• +5 more

G. Petur Nielsen, MD is a Professor of Pathology at Harvard Medical School and serves as Subspecialty Head, Bone and Soft Tissue Pathology at Massachusetts General Hospital . With a clinical focus on bone and soft tissue tumors, his expertise spans diagnostic pathology, molecular genetics of neoplasms, and ancillary testing applications. Research interests center on Pathology and biology of bone/soft tissue tumors Molecular genetics of bone and soft tissue neoplasms Chordoma and sarcoma research Epithelioid vascular tumor differentiation Mesenchymal tumors of the female genital tract His work includes landmark studies on tumor misdiagnosis rates, immunohistochemical profiling, and genomic analysis of chordomas. Scientific contributions appear in leading journals like Nature and American Journal of Surgical Pathology , with major emphasis on Molecular tumor classification Mutational signature analysis Translational oncology Diagnostic accuracy improvement Genomic instability mechanisms

• Diabetes Research
• Metabolism
• Endocrinology
• +3 more

Hadi Al-Hasani serves as University Professor and Director of the Institute for Clinical Biochemistry and Pathobiochemistry at the German Diabetes Center (DDZ), affiliated with Heinrich Heine University Düsseldorf's Medical Faculty. He concurrently leads the Research Group Pathochemistry, focusing on molecular mechanisms of diabetes and metabolic disorders through biochemical and genetic approaches. His primary research domains include Diabetes Pathogenesis , Insulin Signaling Pathways , and Metabolic Regulation , with specific expertise in Rab GTPase proteins (TBC1D1/TBC1D4), glucose transporter dynamics, and islet biology. Utilizing polygenic mouse models, his work bridges molecular biochemistry with clinical metabolic phenotypes to identify therapeutic targets for diabetes and obesity. Analysis of his 2007-2018 publications reveals consistent innovation in diabetes mechanisms, particularly through comparative genomics of insulin secretion pathways and Rab-GAP protein functions. His research demonstrates progressive exploration from foundational GLUT4 trafficking studies (1998) to contemporary investigations of metabolic syndrome gene networks and tissue-specific insulin resistance. Professor Al-Hasani's laboratory operates within the Pathochemistry Research Group at the Institute for Clinical Biochemistry and Pathobiochemistry, where his team integrates biochemical, genetic, and physiological methodologies to dissect molecular pathways underlying metabolic disease progression.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +5 more

Ling Zhao is a distinguished Professor at the School of Management, Huazhong University of Science and Technology, China, with extensive research contributions spanning artificial intelligence, machine learning, information systems, and biomedical applications. With over 150 publications since 2008, Dr. Zhao has established herself as a leading researcher in multiple interdisciplinary domains, particularly in applying computational methods to solve complex real-world problems. Dr. Zhao's research interests encompass a broad spectrum of cutting-edge topics including artificial intelligence, machine learning, data mining, control systems, and information systems. Her work demonstrates exceptional versatility, bridging theoretical computer science with practical applications in healthcare, transportation, cybersecurity, and business management. Notably, she has made significant contributions to sentiment analysis, medical image processing, algorithmic management, and privacy-preserving data analysis. Her research methodology often combines deep learning approaches with domain-specific knowledge to develop innovative solutions. Analysis of Dr. Zhao's recent publications (2023-2025) reveals a strong focus on interdisciplinary applications of AI, with particular emphasis on healthcare informatics (medical image analysis, disease diagnosis), human-computer interaction (algorithmic management effects), and advanced machine learning techniques (graph neural networks, multimodal learning). Her work shows a consistent trend toward increasingly complex and integrated systems that address real-world challenges across multiple domains. Dr. Zhao has made substantial contributions to academic advising and research mentorship, though specific student names aren't detailed in the available publications. Her research has been supported by various grants enabling work in AI applications, biomedical engineering, and information systems. Dr. Zhao maintains active collaborations with researchers across China and internationally, as evidenced by her co-authorship patterns. While specific laboratory information isn't explicitly mentioned in the publication records, Dr. Zhao appears to lead or be significantly involved in research groups focusing on AI applications in management and healthcare. Her work on medical imaging, sentiment analysis, and control systems suggests involvement in multiple specialized research teams addressing different application domains through computational approaches.

Kirsten JungView profile

Professor

• Bacterial Signal Transduction
• Stress Response Mechanisms
• Membrane Protein Structure-Function Analysis
• +3 more

Prof. Dr. Kirsten Jung is a faculty member at the Department of Microbiology , Faculty of Biology , Ludwig Maximilian University of Munich . Her research focuses on bacterial signal transduction, stress response mechanisms, and systems biology approaches to understand microbial regulatory networks. Key research areas include stress-dependent gene expression in bacterial populations Structural and functional analysis of membrane-integrated receptors Metabolism-based chemical communication in bacteria Integration of experimental and computational systems biology Recent publications highlight her lab's work on Escherichia coli epitranscriptomic modifications under heat stress, m 5 C rRNA dynamics, and the role of RNA methylation in host-pathogen interactions. Collaborative studies address bacterial acid stress responses and their implications for antibiotic tolerance. Her interdisciplinary work bridges microbiology with ecological studies, as evidenced by research on biodiversity conservation in forest and urban ecosystems. Publications also demonstrate expertise in advanced imaging techniques (e.g., arterial spin labeling for glioma analysis) and bioinformatics approaches. Current advisees include Gloria Gessinger and Tania P. Gonzalez-Terrazas . She can be contacted at jung@lmu.de .

Andreas BeyerView profile

Professor

• Aging Research
• Proteomics
• Systems Biology
• +5 more

Prof. Dr. Andreas Beyer holds a faculty position at the University of Cologne, affiliated with the Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD) and the Cologne Excellence Cluster for Cellular Mechanisms in Cancer (CMMC). His research focuses on systems-level analysis of aging processes in humans and model organisms, integrating genomic, proteomic, and computational approaches. Key interests include understanding how genetic variation influences protein networks, developing algorithms for big data analysis, and exploring epigenetic mechanisms related to longevity. Research projects include studying age-associated changes in transcriptional elongation, molecular networks in kidney disease, and the impact of dietary restriction on aging. His group develops tools for proteomics and systems biology, such as methods for analyzing limited proteolysis data and single-cell resolution imaging. Collaborative efforts emphasize translational research in aging-related diseases and drug discovery. Prof. Beyer’s work spans computational biology, molecular genetics, and translational medicine. Notable contributions include identifying epigenetic changes linked to longevity and developing predictive models for age-related disease progression. His lab’s projects often involve multi-omics integration and network-based analyses to uncover disease mechanisms. His research has implications for personalized medicine, cancer biology, and interventions to extend healthspan. Current efforts include optimizing drug combinations targeting aging processes and advancing proteomic technologies for clinical applications.

Shahaf PelegView profile

Researcher

• Aging Biology
• Epigenetics
• Metabolic Regulation
• +7 more

Dr. Shahaf Peleg is the Head of the Energy Metabolism and Epigenetics Working Group at the Research Institute for Farm Animal Biology (FBN). His research focuses on aging biology, epigenetic mechanisms, and metabolic interventions. Key areas include histone acetylation regulation, mitochondrial function, and dietary effects on longevity. He uses models like Drosophila, C. elegans, and mice (e.g., Titan mouse) to study aging pathways. Leading interdisciplinary projects on energy metabolism and epigenetic interactions. Developing optogenetic tools for mitochondrial research. Expertise in lipidomics and circadian metabolism. Recent work emphasizes dietary interventions in obesity-related aging and optogenetic rejuvenation of cellular energetics. Active in collaborative networks like ARDD Emerging Science workshops. Publications span metabolic pathway analysis, alcohol's epigenetic impacts, and longevity biomarkers. His team's Titan mouse model is a key tool for testing frailty attenuation strategies.

• Molecular phylogenetics
• Land plant evolution
• Bryophyte diversity and evolution
• +4 more

Prof. Dr. Julia Bechteler is a leading researcher in plant systematics and evolutionary biology at Ludwig-Maximilians-Universität München (LMU) since 2024. Her work bridges molecular phylogenetics, ecological transcriptomics, and biogeography with a focus on non-vascular plants and desert flora. Current affiliations: Professor for Plant Phylogenomics and Systematics at LMU Past affiliations: Junior-Professor at RPTU (2023-2024), substitution professor at University of Bonn (2022-2023) Her research centers on two major areas: Arid habitat adaptation – Using transcriptomic and genomic analyses of desert plants like Loasaceae and Cucurbitaceae in the Atacama and Namib Deserts through projects DFG CRC1211 B07: Desert transcriptomics and BMBF FRAMe . Bryophyte evolution – Studying phylogenetic patterns and ecological transitions in epiphytic liverworts (Metzgeriaceae, Lejeuneaceae) through integrative taxonomy and molecular systematics. Article trends show strong focus on: Evolutionary mechanisms in arid environments Phylogenomic dating of bryophyte lineages Biogeographic patterns in tropical and desert plants Fossil record analysis using amber-preserved specimens She actively trains students in molecular biodiversity research, trait evolution analysis, and environmental interaction studies, maintaining a lab group with researchers working on cultivation protocols and phylogenetic analyses.

• Muscle Metabolism
• Aging Research
• mTORC1 Signaling
• +6 more

Dr. Stephanie de Alcantara Fernandes is a Minerva Fast Track Group Leader at the Max Planck Institute for Biology of Ageing in Cologne, Germany, where she leads research on muscle metabolism and aging. Her laboratory investigates how spatial and functional regulation of mTORC1 signaling influences skeletal muscle health, growth, and regeneration throughout the lifespan, with implications for understanding and promoting healthy aging. Dr. Fernandes completed her academic training through a distinguished path: PhD in Biology (Summa cum laude, with distinction), University of Cologne/Max Planck Institute for Biology of Ageing (2017-2023) Master of Science in Genetics, University of São Paulo (2015-2017) Bachelor of Science in Biological Sciences, University of São Paulo (2009-2014) Exchange year at University of Birmingham, UK (2013) Her research focuses on skeletal muscle biology, particularly the balance between anabolic and catabolic processes that maintain muscle health. Dr. Fernandes investigates how mTORC1 (mechanistic Target of Rapamycin Complex 1), a central signaling hub, is spatially organized within cells to selectively regulate specific cellular functions in response to different nutrient sources. Her work reveals that mTORC1 is not simply "on or off" but can be finely tuned to control distinct processes in different cellular compartments, particularly in skeletal muscle cells. A key aspect of her research examines how these regulatory mechanisms change with age, contributing to age-related muscle loss (sarcopenia). By understanding the molecular basis of muscle maintenance and regeneration, her laboratory aims to identify targets for interventions that could promote healthier aging and prevent age-related decline in muscle function. Analysis of Dr. Fernandes' publication record shows a clear trajectory of increasingly independent research focused on mTORC1 signaling, nutrient sensing, and their roles in aging and muscle biology. Her most recent work demonstrates sophisticated understanding of mTORC1's spatial regulation, revealing how different pools of mTORC1 respond to distinct amino acid sources to control specific cellular processes. This research bridges fundamental cell biology with translational applications for aging-related conditions. Dr. Fernandes has received numerous prestigious awards recognizing her scientific excellence: Minerva Fast Track Fellowship (2025) - Group Leader Position for Outstanding Female Scientists from Max Planck Society Graduate School for Biological Sciences (GSfBS) doctoral award for 2023 (2025) World Muscle Society Fellowship (2016) Cologne Graduate School of Ageing Research fellowship (2017-2020) Master's scholarship from São Paulo Research Foundation (2015-2017) Science Without Borders Scholarship from Brazilian Council for Scientific and Technological Development (2013) As a newly appointed Group Leader through the Minerva Fast Track program, Dr. Fernandes is establishing her independent research program with substantial institutional support. Her laboratory combines advanced techniques including high-throughput omics approaches (proteomics, metabolomics), molecular biology, biochemistry, cell biology, and super-resolution microscopy. She utilizes multiple model systems including mouse models, skeletal muscle cell lines, and iPSC-derived skeletal muscle cells to identify evolutionarily conserved mechanisms relevant to human health. Dr. Fernandes leads the Minerva Fast Track Group at the Max Planck Institute for Biology of Ageing, which focuses specifically on "Muscle metabolism and aging." Her team investigates how selective mTORC1 signaling is coordinated between different skeletal muscle cell types and how it changes with age, with the ultimate goal of understanding how muscle health can be maintained throughout life.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +4 more

Dr. Milos Hauskrecht is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information. He holds a PhD from MIT (1997) and an M.Sc. from Slovak Technical University (1988). His research focuses on AI, machine learning, and data mining, with applications in medicine and finance. He leads projects in real-time clinical monitoring, anomaly detection, and time-series analysis of EHR data. He has advised numerous PhD and MS students, including notable alumni now at Amazon, DeepMind, and Microsoft. Research interests include reasoning under uncertainty, optimization, and AI-driven medical decision support. Current grants include NIH funding for AI in renal therapy and clinical monitoring. He has published widely in top venues like ICML, NeurIPS, and journals such as Artificial Intelligence in Medicine. His work on conditional outlier detection earned the Homer Warner Award (AMIA 2010). He teaches machine learning and advises on interdisciplinary AI projects.