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Syed Hani Hassan Abidi is an Associate Professor at the Department of Biomedical Sciences , School of Medicine , Nazarbayev University , Kazakhstan. His research integrates virology , immunology , viral oncology , and bioinformatics , with a focus on HIV molecular epidemiology , viral evolution , and drug resistance . He has led international projects across Pakistan, Kenya, Afghanistan, and Kazakhstan, and is recognized for innovative teaching and MOOC development. Education: PhD in Virology and Immunology Research Interests: His laboratory employs bioinformatics (machine learning, AI), genomics , and proteomics to study HIV phylodynamics , viral co-infections , and oncogenic viruses like EBV in prostate cancer. He also explores microbiome-immunity interactions and designs antiviral drugs/vaccines . Recent Research Trends: His 2025 publications emphasize COVID-19 immunopathology , HIV/syphilis epidemiology in Pakistan , and particle physics contributions via ATLAS , showcasing interdisciplinary impact. Awards & Recognition: Outstanding Teachers Award (2019, Aga Khan University) Fellowship of Higher Education (UK, 2022) Teaching & Grants: He pioneered Pakistan’s first MOOC on Computer-Based Drug Discovery (2014) and received a 2022 SoTL grant for MOOC-based molecular biology education. His teaching integrates animations , films , and flipped classrooms . Collaborations & Labs: Leads projects on HIV drug resistance , HCV genomics in Kazakhstan , and AI-driven dementia diagnostics (Kazakh Brain Atlas). His lab collaborates with global institutions to advance viral disease surveillance and therapeutic innovation .

• Virology
• Immunology
• Viral Oncology
• +7 more

Prof. Dr. Mathias Christmann is a faculty member at the Institute of Chemistry and Biochemistry, Freie Universität Berlin , leading the research group in Organic Chemistry . His work focuses on strategic and methodological challenges in synthetic chemistry, particularly in total synthesis, organocatalysis, and renewable resource transformations. Position: Professor Contact: mathias.christmann@fu-berlin.de Location: Takustr. 3, Room 24.16, 14195 Berlin Research Interests include: Natural product-inspired small molecule synthesis for biological pathway modulation Minimizing C-C bond formations through selective functionalization of terpene building blocks Organocatalytic and metal-catalyzed reactions in multistep sequences Flow chemistry applications for scalable and sustainable synthesis Biological evaluation of TRPC channel agonists/antagonists for cancer therapy Publication Trends highlight expertise in total synthesis of complex terpenoids, organocatalysis for stereocontrolled reactions, flow chemistry for late-stage transformations, and TRPC4/5 channel modulation in renal cancer studies. His group pioneers asymmetric desymmetrization , photo-oxidation protocols , and electrosynthesis methods with minimal reagent waste. Advisees include PhD candidates Jan-Hendrik Dickoff , Mayar Elbendary , Nadine Kreidt , Tobias Olbrisch , Kamar Shakeri , and Zhen Wang , focusing on terpene-based drug discovery and catalytic reaction design.

• Organic Chemistry
• Natural Product Synthesis
• Organocatalysis
• +6 more

Michael Groll serves as Professor and Chair of Biochemistry at the Technical University of Munich (TUM), where he leads structural biology and enzymology research with a focus on proteasome mechanisms and inhibitor development. His laboratory, located at the Ernst-Otto-Fischer-Str. 8 campus in Garching, maintains active collaborations in drug discovery for cancer and infectious diseases. His primary research domains include proteasome inhibition, enzyme catalysis, and natural product biosynthesis, employing X-ray crystallography, biochemical assays, and bioengineering to dissect molecular mechanisms. Recent work emphasizes AI-guided enzyme optimization, bacterial stress response targeting, and structural characterization of halogenation enzymes, reflecting interdisciplinary approaches bridging chemistry and biology. Analysis of his 2023-2025 publications reveals consistent innovation in proteasome-targeted therapeutics, with 15 high-impact papers featuring structural insights into enzyme-inhibitor complexes and biosynthetic pathways. Key trends include engineering megasynthetases for immunoproteasome inhibitors, optical control of protein degradation, and elucidating metal-dependent mechanisms in antibiotic biosynthesis. No scientific awards were documented in the provided source material. While specific grant details and student mentorship records were not disclosed, his extensive publication record indicates leadership in collaborative research projects involving structural biology and chemical biology methodologies. The Chair of Biochemistry under Prof. Groll operates as a hub for structural enzymology, housing facilities for protein crystallography, enzyme kinetics, and natural product characterization. His team actively contributes to TUM's research ecosystem through partnerships with pharmaceutical groups and international structural biology consortia.

• Proteasome Research
• Structural Biology
• Enzyme Mechanisms
• +2 more

Konstantinos Anastassiadis is a Professor at the Center for Molecular and Cellular Bioengineering (CMCB) of Dresden University of Technology , leading the Stem Cell Engineering group at the Biotechnology Center (BIOTEC) . His research focuses on unraveling molecular pathways regulating stem cell self-renewal and lineage commitment, with a strong emphasis on genetic engineering tool development and epigenetic mechanisms during cellular reprogramming. The lab utilizes mouse and human embryonic stem cells, neural stem cells, mesenchymal stromal cells, and induced pluripotent stem cells (iPSCs) in their investigations. Core Research Areas: Molecular regulation of stem cell fate Epigenetic mechanisms (e.g., UTX/UTY histone demethylases) Genetic engineering tool development (Flp, Dre, Vika recombinases, CRISPR protocols) Conditional immortalization systems for rare cell expansion Publications highlight his contributions to understanding: Role of histone methyltransferases (MLL1, MLL2, Setd1b) in hematopoiesis and cancer Epigenetic regulation during mouse development and spermatogenesis Genetic tools for protein tagging, transposon-mediated BAC transgenesis Interactions between stem cells and niche microenvironments Transcriptional and mechanical markers during reprogramming Collaborations span immunology , developmental biology , and bioinformatics . The lab actively participates in teaching activities at CMCB and maintains a focus on translational applications of stem cell research.

• Stem Cell Biology
• Genetic Engineering
• Epigenetics
• +5 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 .

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

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

Prof. Dr. Jonas Schreyögg is a Professor of Healthcare Management and Scientific Director of the Hamburg Center for Health Economics (HCHE) at the University of Hamburg since 2010. He holds the Chair of Healthcare Management and serves as Deputy Chairman of the German Council of Economic Experts for Health and Nursing Care. His roles also include memberships on scientific advisory boards and associated research at Stanford University. Education & Career: Doctorate and Habilitation (2008) from Technical University of Berlin Former Professor at Ludwig-Maximilians-University of Munich (LMU Munich) Junior Professor at Technical University of Berlin Harkness Fellow at Stanford University (2006–2007) Research Interests: Focus on healthcare systems, health economics, hospital payment reforms, pandemic policy responses, and healthcare workforce optimization. Key areas include DRG systems, healthcare competition, and socioeconomic disparities in health outcomes. He has conducted extensive research on the impact of policy interventions during the COVID-19 pandemic, including lockdown perceptions and vaccine acceptance. Grants & Awards: Recipient of the Harkness Fellowship, German National Academic Foundation doctoral scholarship, and multiple research grants. His work has been published in leading journals like Health Affairs , Journal of Public Health , and Social Science & Medicine . Professional Activities: Engaged in international collaborations and teaching in Norway, Singapore, Taiwan, and the U.S. He advises on healthcare policy and has contributed to high-profile reports on healthcare workforce sustainability and pandemic response strategies.

• Healthcare Management
• Health Economics
• Health Policy
• +5 more

Bertram Müller-Myhsok is a Research Professor and Research Group Leader at the Max Planck Institute of Psychiatry in Munich, Germany. His research focuses on statistical genetics and transcriptomic data analysis in psychiatric disorders, particularly major depression, PTSD, schizophrenia, and their treatment responses. He integrates machine learning with genetic and clinical data to develop predictive models and stratified treatment approaches. Professional activities include leadership roles in the International Max Planck Research School for Translational Psychiatry and collaborations with institutions like the Institut du Cerveau (Paris) and Bernhard Nocht Institute (Hamburg). His work spans genetic epidemiology, psychiatric genomics, and precision medicine, with over 400 publications in high-impact journals. Key research areas include identifying genetic risk factors for mental disorders, developing polygenic scores, and leveraging omics data to uncover disease mechanisms. He leads projects like Psych-STRATA, a Horizon Europe-funded initiative advancing personalized psychiatry through pharmacogenomics.

• Psychiatric Genetics
• Statistical Genetics
• Transcriptomics
• +3 more

Prof. Dr. Kathrin Schumann is an Assistant Professor at the Technical University of Munich (TUM), leading the 'Engineering Immune Cells for Therapy' group within the TUM School of Medicine and Health. Her research focuses on CRISPR-based engineering of human immune cells to develop novel therapies for autoimmune and tumor diseases. She holds a doctorate from the Max Planck Institute of Biochemistry and has conducted postdoctoral research at the University of California, San Francisco, under Professors Alex Marson and Jeffrey Bluestone. Dr. Schumann’s academic career includes a Presidential Postdoc Fellowship at Novartis (Basel) and a tenure-track appointment at TUM since 2018. Her work emphasizes genomic editing of T cells to study gene function and improve cell therapy safety. Key research themes include CRISPR-mediated gene silencing, T cell receptor engineering, and HIV-host interaction studies. Education: Bachelor/Master in Biochemistry, University of Tübingen PhD, Max Planck Institute of Biochemistry (Martinsried) Postdoc, University of California, San Francisco (UCSF) Her research has yielded breakthroughs in CRISPR applications for T cell therapy, including PD-1 disruption to enhance anti-tumor efficacy and targeted editing of T cell receptors. Awards include a DFG research grant (2016). Notable achievements include the development of CRISPR ribonucleoprotein platforms for primary T cells and insights into metabolic checkpoints in T cell exhaustion. Her lab collaborates globally to translate CRISPR-based discoveries into clinical therapies.

• CRISPR-based Gene Editing
• Immune Cell Engineering
• Cell Therapy Development
• +3 more

Philipp Neumann is a Professor and Chair of High-Performance Computing at Helmut Schmidt University since 2019. Previously, he held roles including Senior Researcher at the German Climate Computing Center (2016–2019), Postdoc at the University of Hamburg (2017–2019), and completed his Habilitation in Scientific Computing at TU Munich (2019). He transitioned to DESY/Universität Hamburg in May 2024. Education : PhD (Dr. rer. nat.) in Scientific Computing at TU Munich (2008–2013) Habilitation in Scientific Computing at TU Munich (2019) Studies in Technomathematics at Friedrich-Alexander University Erlangen-Nuremberg (2003–2008) Research Interests focus on high-performance computing, parallel and distributed systems, computational science, and applications in climate modeling. His work bridges computational methods with medical challenges, including surgical simulation training, wound healing mechanisms, and gastrointestinal pathology. Professional Activities include leadership roles in major conferences such as steering committee member for ISPDC (since 2021) and program committee roles in IPDPS, ICCS, and IEEE Cluster. He also managed the DFG priority program SPPEXA (2013–2016). Labs/Teams include the Chair for High-Performance Computing at Helmut Schmidt University and collaborations with the German Climate Computing Center. His current work at DESY/Universität Hamburg likely expands these computational efforts into interdisciplinary research.

• High-Performance Computing
• Scientific Computing
• Parallel and Distributed Systems
• +4 more

Professor Moritz Rossner serves as Head of the Department of Molecular and Behavioral Neurobiology at the Department of Psychiatry and Psychotherapy, Faculty of Medicine, Ludwig-Maximilians-Universität München (LMU). His research integrates molecular and behavioral approaches to understand the neurobiological underpinnings of psychiatric disorders, particularly schizophrenia and bipolar disorder. Rossner's research interests focus on molecular neurobiology and behavioral analysis using mouse models. His laboratory employs advanced techniques including mouse genetics , behavioral phenotyping , biosensors , next-generation sequencing , and transcriptomics to investigate psychiatric risk genes and pathways. His work bridges cellular and molecular mechanisms with behavioral outcomes, particularly in schizophrenia and bipolar disorder research. Analysis of Rossner's 15 most recent publications (2025) reveals a strong focus on precision psychiatry , neuroimaging biomarkers , and genetic mechanisms underlying psychiatric disorders. His research increasingly incorporates multimodal approaches combining neuroimaging, genomics, and clinical phenotyping to develop biologically informed diagnostic and treatment frameworks. Key themes include blood-brain barrier dysfunction in schizophrenia, inflammatory contributions to symptom severity, and pathway-specific polygenic scores for treatment prediction. Rossner leads the Molecular & Behavioural Neurobiology working group at LMU's Department of Psychiatry and Psychotherapy, which includes specialized units like the Mouse Behavioral Unit. His research program appears well-funded through multiple collaborative projects focused on understanding the molecular basis of psychiatric disorders and developing novel therapeutic approaches.

• Molecular Neurobiology
• Behavioral Neurobiology
• Mouse Genetics
• +7 more

Dr. Friederike Adams is an Independent Research Group Leader at the University of Stuttgart and University of Tübingen, focusing on Precision Polymers for Pharmaceutics . Her work bridges polymer chemistry and nanomedicine, emphasizing sustainable materials for drug delivery systems. Education: PhD in Chemistry (2019, TU Munich), M.Sc. in Chemistry (2015, TU Munich), B.Sc. in Chemistry (2013, TU Munich) Awards: No explicit awards listed Research: Specializes in living-type polymerizations, catalyst design, and post-polymerization functionalization for drug and RNA delivery . Publications: 15+ works on sustainable polyesters, metal-catalyzed polymerization, and nanocarrier systems. Students: Mentors 10+ PhD, master’s, and bachelor’s students, including Lea-Sophie Hornberger and Philipp Weingarten . Collaboration: Joint research group with the Schnichels Lab at the Eye Hospital Tübingen. Funded by BMBF and Baden-Württemberg Ministry of Science under Germany’s Excellence Strategy.

• Polymer Chemistry
• Nanomedicine
• Sustainable Materials
• +7 more

Prof. Dr. Marc Schneider holds a professorship in Biopharmaceutics and Pharmaceutical Technology at Saarland University's College of Pharmacy . His research focuses on colloidal drug delivery systems, particularly nanostructured and non-spherical particle engineering for overcoming biological barriers in pulmonary and transdermal applications. He leads an internationally recognized lab in Saarbrücken, collaborating with Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) and trinational institutions. Research Highlights: Development of inhalable nano/microparticle systems Surface modification of gelatin nanoparticles Characterization of mucus-penetrating particles 3D printing for microneedle fabrication Atomic Force Microscopy (AFM) for nanoparticle analysis Selected Scientific Awards: European Journal of Pharmaceutics and Biopharmaceutics Best Paper Award (2018) for mucus-penetrating nanoparticles Recognized in 'Ausgezeichnete Orte im Land der Ideen' competition (2018) for 'Nano-Mais' drug delivery system Collaborative Networks: Co-editor for Advanced Drug Delivery Reviews special issue on biological barriers Key participant in trinational Master's program in Biomedicine with Strasbourg, Mainz, and Luxembourg Active in Controlled Release Society (CRS) conferences and local chapters

• Colloidal drug delivery systems
• Nanoparticle and microparticle engineering
• Nanotechnology in pharmacy
• +3 more

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

• Machine Learning
• Computer Vision
• Signal Processing
• +6 more

Professor Martin Peifer is a computational cancer genomics researcher at the University of Cologne, where he leads the Department of Translational Genomics. He serves as Principal Investigator of the Peifer Lab, which focuses on developing computational methods to analyze cancer genome sequencing data. His work is deeply integrated with the Center for Data and Simulation Science and he is an active member of the International Cancer Genome Consortium and the Pan-Cancer Analysis of Whole Genomes project. Peifer's research interests center on computational approaches to understanding cancer biology, with particular emphasis on tumor evolution and genome instability mechanisms. His lab develops methods to analyze somatic genome alterations including point mutations, copy number changes, and rearrangements. They also create computational tools for integrative genome analyses, tumor evolution reconstruction, and single-cell sequencing data analysis (both RNA and DNA). His interdisciplinary team applies high-performance computing and machine learning to interpret complex cancer sequencing data, aiming to better understand tumorigenesis, clonal evolution, and therapy resistance. Analysis of Peifer's extensive publication record reveals a strong focus on neuroblastoma and lung cancer genomics, with particular attention to tumor evolution patterns and genomic instability mechanisms. His work spans multiple cancer types but maintains consistent themes of computational methodology development and application to understand cancer progression and treatment resistance. The publications demonstrate increasing sophistication in analyzing intra-tumor heterogeneity and clonal dynamics over time. Peifer leads an active research group including postdoctoral fellows (Joel Kaufmann, Dr. Stephanie Pabel, Agnieszka Rumińska) and PhD students (Magdalena Seiffert, Justinas Valiulis). His lab is involved in the Collaborative Research Center 1399 focused on Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer, indicating significant grant funding and collaborative research efforts. The Peifer Lab operates at the intersection of computational biology and cancer research, maintaining an interdisciplinary approach that combines bioinformatics, machine learning, and high-performance computing to address complex questions in cancer genomics. Their work has significant implications for understanding cancer evolution and developing more effective treatment strategies.

• Computational Cancer Genomics
• Tumor Evolution
• Genome Instability
• +5 more