جست‌وجوی استاد و پژوهشگر

Yingge Zhouمشاهده پروفایل

استادیار

• Biomedical Manufacturing
• Additive Manufacturing
• Tissue Engineering
• +۶ مورد دیگر

Yingge Zhou is an Assistant Professor at the School of Systems Science and Industrial Engineering , Binghamton University. He holds a PhD (2020) and MS (2016) in Industrial Engineering from Texas Tech University, and a BS (2014) in Mechanical Engineering and Business Administration from Xiangtan University, China. His research focuses on biomedical manufacturing , additive manufacturing , and tissue engineering , specifically developing biomimetic 3D nanofiber scaffolds and nanoporous microtubes for biomedical applications. He pioneered work on integrating silver nanoparticles and microcurrents for antimicrobial membranes, and has authored over 20 peer-reviewed articles. Key Awards: M&D Best Student Paper Award (IISE Annual Conference 2020) TTU Milton/Jim Smith Engineering Scholarship (2016-2017) Banasik IE Graduate Scholarship (2015-2016) Teaching & Expertise: Manufacturing systems, additive manufacturing processes, biomedical design, and biomaterials. Active member of IISE and ASME.

Luca Mazzucatoمشاهده پروفایل

دانشیار

• Neuroscience
• Computational Biology
• Behavioral Science
• +۲ مورد دیگر

Luca Mazzucato is an Associate Professor in the Department of Biology at the University of Oregon's College of Arts and Sciences. His research focuses on neuroscience, computational biology, neural networks, and behavioral science, investigating neural circuit dynamics, decision-making, and behavioral organization through computational modeling and experimental approaches. Research interests span theoretical and experimental neuroscience, including probabilistic modeling of behavior, neural ensemble dynamics, sensory processing, and computational approaches to understanding brain function across species from zebrafish to mammals. Recent publications explore neural basis of behavior, decision-making under varying arousal, metastable dynamics in sensory systems, and computational principles of neural network function. Research shows strong emphasis on mathematically modeling biological systems and validating predictions experimentally. Leads the Mazzulab research group exploring neural computation principles underlying adaptive behavior.

• Immunology
• Molecular Biology
• Hematology
• +۵ مورد دیگر

Waruni Abeysekera is a Casual Academic in the Department of Mathematics & Statistics at La Trobe University. Her research focuses on interdisciplinary areas including immunology, molecular biology, genetics, and epigenetics, with a strong emphasis on understanding mechanisms underlying hematopoietic stem cell development, neurodevelopmental disorders, and infectious diseases like malaria. She has contributed to studies on KAT6B’s role in brain development and leukemia initiation, as well as the immunological basis of autoinflammatory conditions such as APLAID. Her work spans collaborations in Australia and internationally, evident from her co-authored publications in journals like Cell Metabolism , Nature Immunology , and Development . While her academic position is casual, her output reflects a deep engagement with both fundamental and applied research in biomedical and statistical fields. No scientific awards or grants are explicitly listed in the provided data.

Tobias Stauberمشاهده پروفایل

استاد

• Ion Channel Physiology
• Membrane Transport
• Cell Physiology
• +۳ مورد دیگر

Prof. Dr. Tobias Stauber is a Professor at the Department of Biology, Chemistry, Pharmacy at Freie Universität Berlin, leading the Biochemistry research group. His work focuses on ion channel physiology, particularly the volume-regulated anion channel LRRC8/VRAC, and their roles in cellular processes like lysosomal homeostasis, membrane transport, and cell differentiation. He has mentored multiple PhD students including Lingye Chen, Sumaira Pervaiz, Benjamin König, and Tianbao Liu. His group investigates molecular mechanisms of ion transport using techniques like fluorescence microscopy and mathematical modeling. Key contributions include identifying LRRC8 heteromers as essential components of VRAC and elucidating their roles in disease contexts such as hereditary spastic paraplegia. Stauber collaborates across disciplines, publishing in high-impact journals like Science and EMBO Journal . His lab is located at Thielallee 63, Berlin.

• Bioprocess Engineering
• Bioenergy
• Enzyme Production
• +۵ مورد دیگر

Fernanda Da Cunha is a Research Assistant Professor in Agricultural & Biological Engineering and Operations Manager of the Laboratory of Renewable Resources Engineering (LORRE) at Purdue University. Her work focuses on bioenergy systems, bioprocess optimization, and sustainable enzyme production using agricultural residues. She leads research in fungal enzyme production, biomass liquefaction, and biorefinery integration. Her research integrates bioprocessing technologies with renewable resources, emphasizing enzyme production from cellulose-rich materials like sugarcane bagasse. She has pioneered non-conventional fermentation methods using agro-industrial wastes as feedstocks, advancing sustainable biomanufacturing practices. Key contributions include developing models for high-solids biomass liquefaction and optimizing ultrafiltration systems for protein recovery. Da Cunha collaborates across disciplines to enhance biorefinery efficiency and reduce environmental impacts through techno-economic and lifecycle assessments. Her laboratory (LORRE) is a hub for interdisciplinary bioenergy research, bridging fundamental science and industrial applications. Current projects explore live tissue sentinels for pathogen detection and dynamic modeling of bioprocesses under uncertainty.

• Cancer Biology
• Systems Biology
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Shannon M Mumenthaler is an Assistant Professor of Research Medicine at the University of Southern California (USC), affiliated with the Department of Medicine and Biomedical Engineering. She holds a B.S. in Genetics from UC Davis and a Ph.D. in Cellular and Molecular Pathology from UCLA. Her research focuses on multidisciplinary approaches to cancer, combining computational modeling with experimental biology to study tumor evolution, drug resistance, and tumor microenvironment dynamics. She collaborates with mathematicians, engineers, and clinicians to develop tools for predictive oncology. Her research interests include tumor-stromal interactions, organ-on-chip models, and circadian clock modulation in cancer therapy. She has pioneered methodologies like thin plate spline modeling for tumor invasion quantification and integrated metabolic imaging for therapeutic target screening. Dr. Mumenthaler has received notable awards including the USC Medical Faculty Women’s Association Award (2013) and the NCI Junior Investigator Award (2013). Her work spans over 80 publications, with recent focus on colorectal cancer, GABAergic signaling, and patient-derived organoid systems. She leads efforts in computational oncology and biomimetic microenvironment modeling. Her labs integrate advanced imaging (e.g., MALDI-MSI), machine learning, and mathematical modeling to predict drug responses and dissect cancer heterogeneity. Key contributions include elucidating how microenvironmental biomechanics influence metastasis and developing platforms to study fibroblast-driven therapy resistance.

Maria Vlasiouمشاهده پروفایل

دانشیار

• Stochastic Processes
• Queueing Theory
• Operations Research
• +۷ مورد دیگر

Maria Vlasiou is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) and holds a Full Professorship at the University of Twente. She is also a Research Fellow at EURANDOM. Her research focuses on stochastic processing networks, particularly in energy systems, high-tech manufacturing, and cellular networks. She leads projects on interacting networks, Lévy processes, and risk models. Vlasiou has supervised six PhD theses and teaches courses in probability, stochastic processes, and performance modeling. Education: BSc (2002) and PhD (2006) from Aristotle University of Thessaloniki and TU/e, respectively. Postdoctoral work at Georgia Tech (2006–2008). Awards include the MAM8 Marcel Neuts Student Paper Award (2014), ICORES Best Paper (2013), and TU/e’s Women Wall of Fame (2017). Her work contributes to SDGs related to sustainable energy systems and industrial efficiency. She serves on editorial boards of four journals and has secured over €3.7M in research funding. Current projects address energy distribution networks and transport logistics, with applications in supply chain resilience and battery swapping infrastructure.

• Computational Neuroscience
• Mathematical Biology
• Statistics Analysis of Genome-Scale Data
• +۳ مورد دیگر

Daniel A. Tranchina is a Professor of Biology, Mathematics, and Neural Science at New York University (NYU), affiliated with the College of Arts and Science. He holds a Ph.D. in Neurobiology from Rockefeller University (1981) and a B.A. in Chemistry from SUNY Binghamton (1975). His research focuses on computational neuroscience, mathematical biology, and statistical analysis of genome-scale data, with an emphasis on stochastic processes in biological systems. Key topics include neural signal processing in retinal circuits, stochastic gene expression, and high-throughput sequencing analysis. Tranchina's work bridges theoretical and experimental biology, employing population density methods and statistical models to study neural networks and genetic systems. His contributions span neurobiology, systems biology, and biophysics, with applications to vision science and quantitative genomics. He is actively involved in NYU's Biology department and affiliated with the Biophysics and Quantitative Biology research group. His research has led to influential studies on photoreceptor responses, synaptic dynamics, and gene regulatory networks. While no specific scientific awards are listed, his extensive publication record reflects a distinguished career in interdisciplinary biological research.

Bogdan Kochetovمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Imaging
• Nonlinear Optics
• Computational Physics
• +۳ مورد دیگر

Bogdan Kochetov is a Research Fellow at the University of Pittsburgh, focusing on interdisciplinary research at the intersection of biomedical imaging, nonlinear optics, and computational physics. His work bridges theoretical modeling with practical applications in areas such as cell segmentation algorithms, soliton dynamics in nonlinear media, and waveguide engineering. His research interests span a wide array of topics, including unsupervised machine learning for biomedical imaging (e.g., cell segmentation in tissue samples), topological structures in non-Hermitian systems, and magneto-optic effects in planar waveguides. He has developed novel methods for analyzing ultra-short pulse propagation and interference phenomena in complex electromagnetic systems. Notable contributions include the UNSEG algorithm for cell nucleus segmentation and pioneering studies on dissipative solitons' waveform transitions. His work frequently employs advanced mathematical techniques like the Lagrangian approach and coupled mode expansions to solve transient electrodynamics problems. Though no formal grants or awards are listed, his prolific publication record (spanning 2006–2025) demonstrates sustained innovation in computational electromagnetics and nonlinear photonics. His research often intersects with applied mathematics, leveraging tools like the Klein-Gordon-Fock equation and mode basis methods for solving transient field problems.

Andrew Goryachevمشاهده پروفایل

استاد

• Computational Cell Biology
• Systems Biology
• Cellular Morphogenesis
• +۵ مورد دیگر

Andrew Goryachev is a Professor of Computational Cell Biology and Principal Investigator at the University of Edinburgh's School of Biological Sciences. He leads the Goryachev Group, focusing on computational modeling of cellular morphogenesis, pattern formation, and Rho GTPase dynamics. His work integrates mathematical biology with experimental systems, particularly in understanding how cells regulate structures like protrusions, adhesions, and division furrows. Education: PhD in Theoretical Chemistry from the University of Toronto, Canada. Current roles include membership in the Centre for Engineering Biology and the Institute of Cell Biology. He holds a prestigious BBSRC-NSF grant for synthetic biology research on cytoskeletal pattern formation in frog oocytes, collaborating with Prof. W. Bement (University of Wisconsin-Madison). Research Interests: Computational modeling of cell polarity, cortical excitability, and synthetic biology applications. His lab uses interdisciplinary approaches to study self-organization in biological systems, with a focus on Rho GTPase signaling and actomyosin dynamics. Publications highlight contributions to understanding cortical wave generation, symmetry breaking, and cell migration mechanisms. Recent work includes studies on actomyosin oscillations and Rho dynamics in epithelial cells. Grants and Collaborations: Active in organizing conferences like EdinPBS2025, showcasing his leadership in the Physics of Life community.

• Theoretical Physics
• Statistical Models
• Quantum Transport
• +۱ مورد دیگر

Christophe Texier is Professor at Université Paris-Saclay, affiliated with the Laboratory of Theoretical Physics and Statistical Models. His research bridges theoretical physics with interdisciplinary applications in machine learning and biophysics. Recent publications explore deep learning in music generation and cellular classification, alongside fundamental work in quantum transport. Dr. Texier develops mathematical frameworks for complex systems across physics, biology, and information science domains.

• Plant Developmental Biology
• Vascular Tissue Development
• Cell Division and Differentiation
• +۴ مورد دیگر

Dr. Peter Etchells is an Associate Professor in the Department of Biosciences at Durham University, specializing in plant developmental biology. His research focuses on understanding plant vascular tissue development, particularly the coordination of cell division, differentiation, and tissue organization. He investigates signaling pathways such as the PXY-CLE41 module and explores symbiotic plant structures like domatia. His work integrates computational modeling, genetic approaches, and experimental biology to uncover molecular mechanisms governing vascular growth and patterning. Dr. Etchells’ research interests include vascular cell fate determination, light-dependent differentiation processes, and hormonal regulation (e.g., abscisic acid). He has contributed to studies on plant-microbe interactions, stem cell regulation in cambium, and the application of mathematical models to simulate vascular development. His lab also develops quantitative methods for analyzing plant morphology, enhancing experimental accuracy and data interpretation. Notable contributions include identifying key factors in cambium stem cell positioning and advancing methods to increase wood formation through PXY-regulated cell division. His work bridges fundamental science with potential applications in agriculture and biomass generation. He currently supervises four postgraduate students, focusing on topics like vascular biology and plant development. Dr. Etchells collaborates widely, contributing to interdisciplinary research in plant biology. His lab’s activities emphasize molecular genetics, cell biology, and computational analysis, with a focus on vascular tissue dynamics and developmental signaling pathways.

Justin Lieferمشاهده پروفایل

استادیار

• Marine Biology
• Phytoplankton Ecology
• Ocean Stoichiometry
• +۳ مورد دیگر

Justin Liefer is an Assistant Professor in the Department of Biology at Mount Allison University. His research focuses on marine phytoplankton ecology, particularly their physiological responses to environmental stressors such as climate change, nutrient availability, and toxicological pressures. He investigates cellular-level mechanisms that influence large-scale biogeochemical patterns, with a strong emphasis on elemental stoichiometry, macromolecular composition, and harmful algal blooms. His work integrates experimental approaches with field observations and mathematical modeling. Dr. Liefer’s expertise includes phytoplankton acclimation strategies, toxin production in dinoflagellates, and the impacts of submarine groundwater discharge on coastal ecosystems. He has published extensively on topics ranging from diatom temperature adaptation to ciguatera toxin dynamics in Caribbean waters. His research interests are centered on understanding how microorganisms respond to environmental changes, with applications to global carbon cycles and ecosystem health. Key themes include nutrient limitation effects, climate change impacts on marine organisms, and the interplay between phytoplankton physiology and ecosystem function. His studies often bridge micro-scale cellular processes with macro-scale ecological patterns, providing insights into both fundamental biology and applied environmental management. While no specific grants or awards are listed, his publication record demonstrates sustained contributions to marine microbiology and biogeochemistry. His teaching and advising focus align with his research areas, emphasizing hands-on laboratory techniques and field-based ecological studies.

Klaus Sutnerمشاهده پروفایل

استاد آموزشی

• Theoretical Computer Science
• Cellular Automata
• Computational Theory
• +۳ مورد دیگر

Klaus Sutner is a Teaching Professor in the Department of Computer Science at Carnegie Mellon University, affiliated with the School of Computer Science. His research focuses on theoretical computer science, cellular automata, computational theory, discrete mathematics, and computer science education. He has contributed extensively to the study of automata dynamics, decidability, and algorithmic complexity. Key research areas include the analysis of cellular automata, invertible transducers, and the interplay between physics-inspired models and computation. His work bridges foundational theory with practical applications in education and algorithm design. Notable publications include studies on abelian automaton groups, computational equivalence, and adaptive online course development using cognitive tutors. Teaching responsibilities include courses such as 15259, 15559, and others, reflecting his engagement with both foundational and advanced topics. Administrative support is provided by Rosemary Battenfelder. No scientific awards are explicitly mentioned in the provided texts. His research spans over three decades, with contributions in areas like network reliability, formal languages, and the computational complexity of cellular automata. Collaborations include work on residual network reliability and model checking for cellular automata systems.

• Computational Anatomy
• Neuroimaging
• Medical Image Analysis
• +۴ مورد دیگر

Daniel Jacob Tward serves as an Assistant Professor in both the Department of Computational Medicine and Department of Neurology at the David Geffen School of Medicine, University of California Los Angeles . His research bridges computational mathematics with neuroscience and medical imaging, focusing on developing advanced algorithms for brain mapping and disease analysis. His primary research interests include computational anatomy , neuroimaging , and medical image analysis , with specific expertise in diffeomorphic mapping techniques. Tward's work enables precise alignment of brain structures across different imaging modalities and scales, from microscopic histology to whole-brain MRI. His methodologies are particularly applied to Alzheimer's disease research , where he analyzes neurodegeneration patterns and tau pathology distribution. Analysis of his recent publications reveals a clear progression toward multiscale integration - connecting molecular, cellular, and tissue-level data through computational frameworks. His 2023-2025 work shows increasing emphasis on spatial transcriptomics integration with imaging data, deep learning applications for image registration, and population-level analyses of neurodegenerative diseases. The BRAIN Initiative Cell Census Network collaboration represents his commitment to open neuroscience infrastructure. Tward actively contributes to major research consortia including the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the BRAIN Initiative Cell Census Network . His technical developments in diffeomorphic mapping form the foundation for several computational anatomy tools used in both basic neuroscience and clinical research contexts. His laboratory focuses on developing the Computational Anatomy Gateway - a framework for processing neuroimaging data across multiple scales. Current projects involve integrating spatial transcriptomics with histology, creating 3D digital brain atlases , and developing predictive models for neurodegenerative disease progression using longitudinal imaging data.