Find Academic Supervisors

Gregor SchuhknechtView profile

Researcher

• Computational Neuroscience
• Systems Neuroscience
• Neuronal Circuitry
• +4 more

Dr. Gregor Schuhknecht is a Researcher and incoming Max-Planck Research Group Leader at the Max Planck Institute for Brain Research in Frankfurt, Germany. Starting December 2025, he will lead the Brain Algorithms and Circuits Group, focusing on computational neuroscience and neuronal circuitry in larval zebrafish. His work bridges experimental and computational approaches to understand brain algorithms enabling flexible behaviors. Education PhD in Neuroscience (2014–2019), Institute for Neuroinformatics, University of Zurich and ETH Zurich MSc in Biology (Neuroscience) (2012–2019), ETH Zurich BSc in Biosciences (2009–2012), Heidelberg University His research investigates how synaptic circuitry implements computational algorithms for sensorimotor processing, evidence accumulation, and behavior. Experimental approaches include functional imaging, optogenetics, connectomics, and computational modeling. The group will explore neuronal circuits across scales, from synapse to behavior, with a focus on biophysical properties and dynamic environmental adaptation. Recent publications highlight correlative light/electron microscopy, developmental activity-free circuit formation, and neocortical synapse analysis. Scientific Awards Meselson Prize (2024) Aspirational Neuroscience Award (2023) Best Publication Award (2021) Swiss National Science Foundation Fellowships (2021, 2019, 2018) Gregor Schuhknecht's lab will welcome graduate and postdoctoral researchers starting December 2025, focusing on experimental and computational systems neuroscience. He previously collaborated with Harvard University's Department of Molecular and Cellular Biology and the Department of Moritz Helmstaedter for connectomic analyses.

Bernhard J. BergerView profile

Lecturer

• Software Security
• Static Code Analysis
• Machine Learning
• +4 more

Bernhard J. Berger is a Lecturer in the Department of Computer Engineering at the Institute of Embedded Systems, Hamburg University of Technology (TUHH). His research focuses on software security, static code analysis, machine learning, optimization, and research data management. He has held significant roles such as Program Committee member for ICPC 2025 and MSR 2025, and has received awards including the Best Reviewer Award (ICPC 2023) and Best Engineering Paper Award (SCAM 2019). His work spans interdisciplinary applications including maritime systems security, GPU-accelerated AI, and evolutionary algorithms. Recent studies emphasize AI-driven security tools (e.g., ML-SAST) and domain-specific language approaches to optimization (EvoAl). He has contributed to over 30 peer-reviewed publications, with notable work in IEEE Transactions on Software Engineering and Science of Computer Programming. Berger collaborates closely with industry through DAAD review committees and serves on artifact evaluation boards for ISSTA and ARES conferences. Education: Doctoral Thesis (2022), Diploma in Computer Science (2007) Key Projects: ArchSec tool suite, Threat Modeling Frameworks, Bauhaus static analysis methodology Lab Affiliation: Embedded Systems Design Group His advisory roles include Deputy of TUHH's Election Verification Committee and Session Chair at IEEE Congress on Evolutionary Computation 2023. Current research trends integrate machine learning with static analysis for automated vulnerability detection, while also exploring explainable AI techniques for neural network optimization.

Karen AlimView profile

Professor

• Biological Physics
• Morphogenesis
• Non-neuronal Information Processing
• +4 more

Prof. Karen Alim is a Professor of Biological Physics and Morphogenesis at the Department of Physics, Technische Universität München (TUM), affiliated with the TUM School of Natural Sciences. She holds a PhD from the Ludwig-Maximilians-Universität München (2010) and conducted postdoctoral research at Harvard University (2010–2015) before leading a Max Planck Research Group in Göttingen. Her research focuses on non-neuronal information processing in living systems, particularly using Physarum polycephalum to study physical principles of network adaptation, fluid dynamics, and morphogenesis. Education: PhD in Physics, Ludwig-Maximilians-Universität München (2010) Studies at Universität Karlsruhe, LMU München, and University of Manchester Research Interests: Prof. Alim explores how biological systems process information without neurons, emphasizing adaptive flow networks, mechanical signaling in plants, and collective behavior in active matter. Her work combines theoretical modeling with experimental systems like slime molds and plant tissues. Awards: ERC Starting Grant (2020) Elisabeth-Schiemann-Kolleg Fellowship (2013–2018) DAAD Stipendium (2011–2014) John Birks Award (2004) Advising & Grants: While specific grant details beyond the ERC award are not listed, her research has been supported by major funding bodies. No student advisees are explicitly listed in the provided materials. Labs/Teams: Leads the Biological Physics and Morphogenesis group at TUM, focusing on interdisciplinary studies of living systems' physical principles.

• Neural circuit mechanisms
• Adaptive learning
• State-dependent decision-making
• +4 more

Dr. Sabine Krabbe is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany, where she leads research on neural circuit mechanisms underlying adaptive learning and state-dependent decision-making. Her work integrates neuroscience, molecular biology, and behavioral approaches to understand how internal states influence behavior and how these processes are disrupted in neurological disorders. Dr. Krabbe's research focuses on the interactions between midbrain circuits of the substantia nigra and ventral tegmental area with their output structures such as the striatum and amygdala. She investigates how these networks integrate internal states with environmental cues to produce appropriate behavioral responses. Her laboratory employs state-of-the-art techniques including deep-brain calcium imaging at single-cell resolution in mice, opto- and pharmacogenetic manipulations, anatomical tracings, and molecular approaches to characterize neural circuit elements in detail. Her recent publications reveal significant insights into amygdala interneuron plasticity during fear learning, brain-wide representational drift in memory consolidation, and the molecular mechanisms underlying Parkinson's disease progression. Her work demonstrates how activity patterns within specific neural circuits change in early stages of neurodegenerative diseases and how this dysfunction contributes to cognitive deficits and emotional disturbances. Dr. Krabbe is actively involved in the neuroscience community, organizing the BonnBrain Conference 2026 and sharing research through social media platforms. She has established herself as an emerging leader in the field of systems neuroscience with a particular focus on the neural basis of emotional states and decision-making processes.

Omer BayraktarView profile

Researcher

• Neural Diversity
• Spatial Transcriptomics
• Glia Biology
• +3 more

Omer Bayraktar is a Group Leader at the Wellcome Sanger Institute , leading research in the Cellular Genomics Programme. His work focuses on decoding human brain cellular diversity using spatial transcriptomics , imaging , and functional screening to study neural complexity in health and disease. Bayraktar's educational background includes a PhD from HHMI under Chris Doe, investigating neural diversity development in Drosophila , followed by postdoctoral work at University of California, San Francisco and University of Cambridge as a Life Sciences Research Foundation Fellow. He developed a spatial transcriptomic pipeline during his postdoc to analyze astrocyte heterogeneity in the cerebral cortex. His research explores neural cell type mapping , glial-neuronal interactions , and cellular pathways in neurodevelopmental disorders . Recent publications emphasize 3D tissue mapping , multi-omic integration , and computational tools like Cell2fate and WebAtlas. His work bridges neurogenetics and computational biology to advance understanding of human tissue ecosystems. Bayraktar's lab collaborates with the Human Cell Atlas initiative and develops technologies such as automated histology pipelines and highly-multiplexed smFISH for molecular cell typing. His team also investigates glia-based therapies and astrocyte functional heterogeneity in neurodevelopmental contexts. Key scientific contributions include: Discovering astrocyte layer patterns independent of neuronal laminae Developing cell2location for spatial cell mapping Characterizing Drosophila neural stem cell models with human relevance Notable awards include the Life Sciences Research Foundation Fellowship during his postdoctoral training. His current group includes a PhD student , Senior Data Scientists , and Bioinformaticians .

Simon SchäferView profile

Professor

• Neuroscience
• Developmental Biology
• Stem Cell Research
• +4 more

Prof. Dr. Simon Schäfer leads the Schäfer Lab at the Technische Universität München , focusing on engineering advanced organoid systems to study human brain development, disease modeling, and repair mechanisms. His work bridges stem cell biology, gene editing, and bioengineering to develop personalized therapies for brain disorders. Stem Cell & Organoid Technology Neurodevelopmental Mechanisms Neurodegenerative Disease Models Gene Editing & Neuroimmune Interactions Translational Neuroscience Recent research emphasizes brain organoid development, microglia phenotypes, and neurodevelopmental timing anomalies in autism. His team’s work also explores zika virus interactions with glioblastoma stem cells and neuronal plasticity in psychiatric disorders. Scientific awards and funding include support from the Deutsche Forschungsgemeinschaft (DFG), Brain & Behavior Research Foundation (BBRF), and Munich Cluster for Systems Neurology (SyNergy). Collaborations span institutions like the TUM Center for Organoid Systems. Advises 6 students (2 PhD, 1 MSc, 3 associated) Labs include Schäfer Lab, COS@TranslaTUM Contact: simon.schafer@tum.de

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +5 more

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

Friederike EbnerView profile

Professor

• Immunobiology
• Parasitology
• Infectious Disease Research
• +3 more

Prof. Friederike Ebner holds the Chair of Infection Pathogenesis at the Technical University of Munich (TUM) since 2023, within the TUM School of Life Sciences. Her research focuses on the immunobiology of parasite infections, particularly studying gastrointestinal helminths like Ascaris suum and their interactions with host immune systems to design novel intervention strategies. She also develops biomedical models for studying infectious diseases. Educational Background: Friederike Ebner earned a biotechnology degree from TU Berlin and Dongseo University (South Korea). She completed her PhD in biology at Humboldt University Berlin (2014), followed by postdoctoral research in immunology at Freie Universität Berlin, where she became an assistant professor before moving to TUM. Research Interests: Her work spans helminth-host immune dynamics, vaccine development, microbiome interactions in parasitic infections, and translational models for human diseases. Key topics include Th2/Th1 immune balance, helminth-derived immunomodulators, and xenotransplantation safety. Notable Contributions: Her recent studies address diagnostic methods for ascariasis, microbiome roles in helminth survival, and immunotherapeutic applications of parasite products. Current efforts emphasize bridging fundamental immunology with clinical and veterinary applications. Professional Activities: Prof. Ebner teaches immunology and parasite biology at TUM while maintaining active collaborations in global health and infectious disease research. She advocates for interdisciplinary approaches to address knowledge gaps in parasitology and vaccinology.

• Neurobiology
• Synaptic Plasticity
• Molecular Genetics
• +7 more

Prof. Stephan J. Sigrist is a Full Professor of Genetics at the Institute of Biology, Free University of Berlin. His lab focuses on synaptic active zone architecture, neuroplasticity, and aging-related neurodegeneration. He leads the Collaborative Research Center 958 on Membrane Scaffolding and co-directs NeuroCure, a DFG Cluster of Excellence at Charité. Education: PhD in Molecular Genetics (1997) and Habilitation (2005) from the University of Göttingen. Positions: Einstein Professor (2014–present), Spokesperson CRC 958 (2012–present), and Co-Director NeuroCure (2009–present). Research explores presynaptic mechanisms using Drosophila and mouse models, combined with STED microscopy. Key contributions include discoveries of Bruchpilot's role in active zones and spermidine's protective effects against age-related synapse decline. Grants: Over €6 million in funding, including DFG CRCs, Einstein Foundation, and ERC Advanced Grant (2025). Awards: Einstein Professorship, Best Habilitation Award, EMBO/HFSP Fellowships. Collaborations span structural biology (e.g., Stefan Hell), neurophysiology (David DiGregorio), and aging research (Frank Madeo).

Serena DingView profile

Professor

• Collective Behavior
• Evolutionary Biology
• Behavioral Genetics
• +3 more

Dr. Serena Ding is a Max Planck Research Group Leader at the Max Planck Institute of Animal Behavior, where she heads the Genes and Behavior department. She leads an interdisciplinary team studying the mechanisms and evolution of collective behaviors in nematodes through genetic, neuronal, and behavioral approaches. Education: PhD in C. elegans Developmental Cell Biology, University of Oxford (2011-2016) Postdoc in C. elegans Quantitative Behavior, Imperial College London (2016-2021) B.Sc. in Biology, University of Richmond (2007-2011) Research Focus: Dr. Ding investigates fascinating collective phenomena in nematodes including towering (collective dispersal), wurmuration (density-dependent swarming), and strain-specific aggregation behaviors. Her lab combines molecular biology, neuroscience, evolutionary biology, and complex systems modeling to understand both proximate mechanisms and ultimate evolutionary drivers of these behaviors across wild nematode strains. Publication Trends: Her research emphasizes quantitative behavioral analysis and innovative imaging methodologies, as exemplified by her 2020 work developing bioluminescence-based tracking of C. elegans foraging patterns. This aligns with her group's focus on high-throughput phenotyping of natural genetic variations in behavior. Team Leadership: Dr. Ding mentors a diverse research team including: 2 postdoctoral researchers (Daniela Perez, Assaf Pertzelan) 3 doctoral students (Narcís Font Massot, Youn Jae Kang, Gopika Ranjith) 1 master's student (Iris Bernstein) 1 technical assistant (Ryan Greenway)

Muhammad Ali GulzarView profile

Assistant Professor

• Fault Localization
• Big Data systems
• Data Intensive scalable computing
• +5 more

Muhammad Ali Gulzar is an Assistant Professor in the Computer Science Department at Virginia Tech and an Amazon Scholar at Amazon Web Services. His research focuses on improving developer productivity through automated debugging and testing for applications in emerging domains, including data-intensive software such as dataflow programs, ML/AI applications, and computational notebooks. Education Ph.D. in Computer Science from University of California, Los Angeles (Google Ph.D. Fellow 2017-2020) Research Interests Gulzar's research spans three primary areas: (1) automated tracking-code localization techniques in web applications, (2) re-engineering testing and debugging for data-intensive applications, and (3) advancing current testing and debugging practices in Federated Learning Applications. His work addresses the challenges of debugging in complex systems where traditional approaches fail due to the scale and distributed nature of modern applications. His research has significant implications for improving software quality, developer productivity, and accessibility in web applications. Research Trends Recent publications demonstrate a strong focus on debugging and testing challenges in emerging application domains. His work bridges traditional software engineering with machine learning, data-intensive systems, and web technologies. Notably, he has made significant contributions to Federated Learning debugging (FedDebug), accessibility challenges in ad-driven web applications, and semantic caching for Large Language Models. His approach often combines novel algorithmic insights with practical implementations that address real-world challenges in software development and maintenance. Scientific Awards Google Ph.D. Fellow (2017-2020) $1.1 million NSF award for Federated Learning research ACM CCS 2024 Distinguished Artifact Award Advising and Grants Gulzar leads a productive research group with multiple students contributing to publications in top-tier venues. His NSF-funded research on Federated Learning demonstrates his ability to secure competitive funding for innovative projects. His advising style appears to emphasize practical impact alongside theoretical contributions, with students often taking lead roles in publications. Current research directions include debugging techniques for Large Language Models, accessibility challenges in modern web applications, and novel testing approaches for distributed data processing systems.

Andrew BassettView profile

Researcher

• Genome Engineering
• Neurodegenerative Diseases
• Stem Cell Research
• +5 more

Dr. Andrew Bassett serves as Head of the Cellular and Gene Editing Research group at the Wellcome Sanger Institute, where he develops cutting-edge genome engineering techniques using human pluripotent stem cells to investigate neurodegenerative diseases including Alzheimer's and Parkinson's. His work focuses on scaling genetic screening approaches and improving CRISPR specificity for modeling complex disease mechanisms. His academic training includes: PhD at the MRC Laboratory of Molecular Biology (MRC-LMB) with Andrew Travers on chromatin remodelling in heterochromatin formation Postdoctoral research with David Baulcombe at the University of Cambridge studying small RNA roles in chromatin modification Additional postdoctoral work with Chris Ponting at the MRC Functional Genomics Unit (MRC-FGU) in Oxford, where he pioneered CRISPR applications in Drosophila Bassett's research program centers on developing advanced genome engineering methodologies for precise modulation of gene expression networks during development and neurodegeneration. His group specializes in creating complex editing events (SNPs, paired knockouts, enhancer perturbations) within iPSC-derived models, with particular emphasis on epigenetic regulation and transcriptional control. Current projects integrate single-cell 'omics and phenotypic assays to decode genetic causes of neurodegenerative disorders through the OpenTargets consortium. Analysis of his 15 most recent publications reveals dominant trends in CRISPR technology development (35%), neurodegenerative disease modeling (30%), and single-cell functional genomics (25%). His work consistently bridges methodological innovation with disease mechanism studies, increasingly incorporating multi-omics approaches and expanding into cancer immunology and infectious disease applications since 2022. As group leader, Bassett mentors postdoctoral researchers and PhD students while securing major funding for genome engineering initiatives. His team operates within the Sanger Institute's Cellular Operations division and maintains critical partnerships with the OpenTargets consortium for therapeutic target validation. The laboratory specializes in high-throughput screening platforms using iPSC-derived neural and microglial models, with recent methodological advances including scSNV-seq and ONE-STEP tagging systems that significantly enhance precision genome editing capabilities.

• Motor Control
• Neuronal Plasticity
• Motor Learning
• +3 more

Prof. Joseph Claßen serves as a Professor at Leipzig University, specializing in neural mechanisms of movement, brain adaptation processes, and bodily perception. His work bridges fundamental neuroscience with clinical applications for neurological rehabilitation. Research centers on three interconnected domains: elucidating principles of motor control and learning through neuronal plasticity; developing targeted brain stimulation protocols to alleviate neurological symptoms; and investigating cognitive aspects of bodily representation. These areas drive therapeutic innovation for movement disorders and sensorimotor deficits. PhD projects are actively offered in all three research streams, designed for collaborative execution with other university faculty members to foster interdisciplinary approaches in neuroscience and rehabilitation medicine.

Kristian FranzeView profile

Professor

• Neural Mechanics
• Biophysics
• Neuroscience
• +5 more

Professor Kristian Franze serves as Principal Investigator and Head of the Department of Neural Mechanics at the Max Planck Center for Physics and Medicine in Erlangen, Germany. He concurrently holds the position of Director of the Institute of Medical Physics and Microtissue Engineering at the Faculty of Medicine of Friedrich-Alexander University Erlangen-Nuremberg (FAU). His groundbreaking research explores how neurons integrate mechanical and chemical signals during development and regeneration processes of the central nervous system. The Franze laboratory employs an interdisciplinary approach combining physics and life sciences, utilizing advanced techniques including: Atomic force microscopy Traction force microscopy Custom-built compliant cell culture substrates Optical and confocal laser scanning microscopy Cell and molecular biology approaches Key discoveries from his lab include demonstrating that neural tissue is mechanically highly heterogeneous, that neurons constantly exert forces on their environment, and that both neurons and glial cells actively respond to mechanical stimuli. His work has revealed that local tissue mechanics directly guides growing neuronal axons and contributes to establishing the chemical landscape encountered by developing neurons. Professor Franze leads an international research team comprising doctoral students, postdoctoral fellows, and technical staff. His laboratory investigates how cellular forces, tissue compliance, and cellular mechanosensitivity contribute to CNS development and disease, with potential applications for treating neurological disorders where mechanical factors play crucial roles, such as foreign body reactions to implants and failed nerve regeneration after spinal cord injuries.

Burkhard MaessView profile

Research Professor

• Neuroscience
• Auditory Processing
• Signal Analysis
• +3 more

Dr. Burkhard Maess is a Research Professor and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences, leading the Methods and Development Group Brain Networks. His research focuses on auditory and language processing, signal analysis, and dynamic modeling of neuronal networks. He holds a Diploma in Physics (University of Leipzig, 1987) and a PhD in Physics (University of Leipzig, 1990). His career includes postdoctoral positions at the Academy of Sciences of the GDR and the Free University of Berlin before joining the MPI in 1995. Since 2000, he has led research groups on MEG/EEG signal analysis and cortical network dynamics. His work integrates advanced neuroimaging techniques like MEG and EEG to study sensory processing, neural network dynamics, and the effects of aging on auditory attention. Key contributions include developing high-resolution BEM-FMM methods for source localization and analyzing cross-frequency coupling in neuroscience data. His group also explores spinal cord electrophysiology and the neural underpinnings of perceptual decision-making. Dr. Maess’ research spans cognitive neuroscience, biomedical engineering, and computational modeling, with a focus on bridging empirical findings with theoretical frameworks in neuroscience.