Prof. Dr. William Crawley-Boevey is a faculty member at the Faculty of Mathematics, University of Bielefeld , holding the Alexander von Humboldt Professor chair. His research spans representation theory of quivers and finite-dimensional algebras, algebraic geometry, noncommutative algebra, and integral structures in mathematics. Key Projects: Subproject manager for SFB/TRR 358 (Integral Structures in Geometry and Representation Theory) in modules A6, C2, and C3. Teaching: Module responsibilities include Homological Algebra and Representation Theory at the Bielefeld Graduate School in Theoretical Sciences. Research Trends: His recent work focuses on quiver representations, persistence modules, preprojective algebras, and interactions between tame/wild classification problems in algebraic structures. He explores geometric and categorical frameworks for module decompositions and stability conditions. Scientific Awards: Alexander von Humboldt Professor (2025) DFG Collaborative Research Centre participation Contact: wcrawley@math.uni-bielefeld.de
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Xiaomei Wangمشاهده پروفایل
پژوهشگر
Xiaomei Wang is a Researcher in the Department of Internal Medicine at the Yale School of Medicine (Yale University), with a focus on rheumatology and immunology research. Her work emphasizes cellular heterogeneity in asthma, viral immunology (especially West Nile virus), aging-related immune dysfunction, and single-cell profiling techniques. She collaborates with prominent researchers like Ruth Montgomery, Erol Fikrig, and Smita Krishnaswamy on projects involving advanced cytometry and computational biology approaches. Her research spans over 15 years, with key contributions to understanding TLR signaling in aging populations, neutrophil function modulation by tick salivary proteins, and antibody discovery against viral pathogens. Dr. Wang’s methodologies include RNA-Seq analysis, deep learning for single-cell data exploration, and multiparameter CyTOF profiling of inflammatory cells.
- Immunology
- Virology
- Cell Biology
- +۳ مورد دیگر
Prof. Andries Meijerink is a Professor of Condensed Matter and Interfaces at Utrecht University's Faculty of Science, affiliated with the Debye Institute for Nanomaterials Science. His research focuses on luminescence spectroscopy of lanthanide ions, quantum dots, and nanocrystals, with applications in LEDs, solar cells, scintillators, and thermometry. His work spans energy transfer mechanisms, quantum confinement effects, and luminescent materials synthesis. Key achievements include advancing downconversion processes for solar cells, understanding exciton dynamics in quantum dots, and developing luminescence-based temperature sensors. He leads an active research group and collaborates with industry partners like Signify and Nichia. Education: Not explicitly stated in texts (inferred doctoral training from academic rank). Research Focus: Rare earth ions in solids, quantum dot bio-imaging, and nanocrystal doping. His awards include membership in the Royal Netherlands Academy of Arts and Sciences (2009) and the 2004 Electrochemical Society Centennial Award. He has delivered invited lectures on topics like upconversion solar cells and photonics. Current projects include luminescence thermometry for catalytic environments, optimizing LED phosphors, and exploring photonic effects in nanocrystals. His lab develops materials for high-temperature sensing and bio-imaging applications.
Anthea Monodمشاهده پروفایل
دانشیار
Dr. Anthea Monod is an Associate Professor in Mathematics and Machine Learning at the Department of Mathematics, Imperial College London, within the Faculty of Natural Sciences. She is Co-Director of the £10M EPSRC-funded Mathematical and Computational Foundations of Artificial Intelligence Hub (Erlangen AI Hub) and leads a research group of over 20 members including postdocs, PhD students, and undergraduates. Her research integrates algebraic topology, algebraic geometry, and computational methods to address challenges in machine learning, mathematical biology, and data analysis. Dr. Monod earned her PhD from the Swiss Federal Institute of Technology in Lausanne (EPFL). She previously held postdoctoral and visiting roles at institutions including the Technion, Duke University, Columbia University, and Tel Aviv University. Her work spans applied topology (e.g., topological data analysis), algebraic statistics, geometric machine learning, and computational biology. Her current research priorities include developing topological tools for analyzing neural network activations, advancing geometric approaches to AI, and applying algebraic methods to biological data. Key projects include cycle matching for high-dimensional neural activation patterns and tropical geometry-based graph kernels. Grants: £10M EPSRC Hub for AI Foundations (EP/Y028872/1) Awards: Turing Global Fellows Fund (2024) for student Yueqi Cao Labs/Teams: Co-Director of Erlangen AI Hub, member of Imperial's Biomathematics Group and AI Network
Jan-Paul Lerchمشاهده پروفایل
پژوهشگر
Jan-Paul Lerch is a researcher affiliated with the Faculty of Mathematics at the University of Bielefeld. His work focuses on Mathematical structures within geometry and representation theory, particularly through the collaborative research project SFB/TRR 358 Integral Structures in Geometry and Representation Theory (subproject C4: Counting points on quiver Grassmannians). His recent publications span algebraic topology, category theory, and interdisciplinary applications in bioinformatics. Email: lerch@math.uni-bielefeld.de Office: UHG V5-210, University of Bielefeld Research Trends : His work bridges fundamental mathematical concepts (e.g., persistence modules, block decomposition) with computational methods in proteomics and topological data analysis. Key keywords include Algebraic Topology , Representation Theory , and Bioinformatics . Strategic Research Context : The University of Bielefeld emphasizes Transcending Boundaries through interdisciplinary collaboration. Jan-Paul's research aligns with the Mathematical World strategic area, which develops and applies fundamental mathematical theories to solve complex problems in natural sciences and economics.
- Mathematics
- Geometry
- Representation Theory
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Facundo Memoli is a Professor in the Department of Mathematics at Rutgers University. He holds a PhD from the University of Minnesota (2005) and degrees in Electrical Engineering and MMS from Universidad de la República, Uruguay. His research focuses on metric geometry, topology, probability, and their applications to science and engineering. He leads the Network Data Analysis group and is a member of the OSU TGDA group. Memoli has been supported by NSF grants, including NSF-AF-2310412, NSF-IIS-1901360, and NSF-DMS-2301359. His work bridges theoretical foundations with practical applications in topological data analysis, shape comparison, and network analysis. Education: PhD in Mathematics, University of Minnesota, 2005 MMS in Electrical Engineering, Universidad de la República, Uruguay, 2001 Bachelor of Engineering in Electrical Engineering, Universidad de la República, Uruguay, 2000 Research Interests: Topological Data Analysis (TDA) Gromov-Hausdorff and Gromov-Wasserstein distances Shape comparison and matching Network analysis and clustering Metric geometry and its applications His research emphasizes developing robust mathematical frameworks for analyzing complex data structures, including networks and geometric datasets. Grants and Awards: NSF-AF-2310412 NSF-IIS-1901360 NSF-DMS-2301359 NSF Phase I TRIPODS grant Advising and Students: Current Students: Musashi Koyama, Brantley Vose Alumni: Aziz Guelen, Nate Clause, Ling Zhou, Mario Gomez, Zhengchao Wan, Tom Needham, Samir Chowdhury, Woojin Kim, and others Labs and Groups: Network Data Analysis Group (NDA) Ohio State University TGDA Group Applied Metric Geometry Group These groups focus on interdisciplinary research at the intersection of topology, geometry, and data science.
Garry P. Nolan is the Rachford and Carlota A. Harris Professor in the Department of Pathology at Stanford University School of Medicine. He holds multiple affiliations including memberships in Bio-X, Wu Tsai Human Performance Alliance, Maternal & Child Health Research Institute (MCHRI), and Stanford Cancer Institute. Previously, he directed the Stanford NHLBI Proteomics Center (2010-2015) and served on NIH advisory boards including the NHLBI Board of External Experts and NCI-Frederick Advisory Committee. Dr. Nolan completed his education with a B.S. in Genetics from Cornell University (1983), Ph.D. in Genetics from Stanford University (1989), and postdoctoral fellowship at MIT in David Baltimore's laboratory (1993). His research focuses on hematopoiesis, cancer biology, immunology, and computational approaches. Key areas include: Development of single-cell analysis technologies (CyTOF mass cytometry) Multiparameter Ion Beam Imaging (MIBI) for cancer research CODEX platform for high-dimensional tissue imaging Systems immunology approaches to study immune function, cancer-immune interactions, and pathogen responses Computational modeling of signaling networks in leukemia and lymphoma His recent publications demonstrate strong focus on spatial tissue analysis, immune responses to pathogens/vaccines, and cancer immunotherapy. The work integrates multiplexed imaging, computational modeling, and single-cell technologies to understand tissue organization and immune coordination in health and disease. Scientific honors include: Lifetime Achievement Award (Stanford, 2024) Keio University Medical Science Prize (2022) Hans Sigrist Prize (2021) Nature Publishing Group's Outstanding Research Achievement (2011) Teal Innovator Award from DoD (2012-2017) He currently advises doctoral students including Aaron Tan and postdoctoral fellows Antonio Delgado Gonzalez, Ivan Petrov, and Yuqi Tan. Significant grants include $3.3M DoD Teal Innovator Award for ovarian cancer, $3M FDA grant for immune system reference development, and $3.5M FDA grant for Ebola research platforms. Dr. Nolan directs the Nolan Lab at Stanford and co-founded multiple biotechnology companies including Rigel, Ionpath, and Akoya. He serves on the Parker Institute for Cancer Immunotherapy and maintains collaborations across statistics, engineering, and computer science departments.
- Hematopoiesis
- Cancer Biology
- Leukemia
- +۹ مورد دیگر