جست‌وجوی استاد و پژوهشگر

Gary W. Coxمشاهده پروفایل

استاد

• American Politics
• Comparative Politics
• Political Methodology
• +۳ مورد دیگر

Gary W. Cox is the William Bennett Munro Professor of Political Science at Stanford University. He specializes in American Politics, Comparative Politics, and Political Methodology, with a focus on electoral systems, legislative behavior, and historical political economy. His work examines how institutional frameworks shape political competition, representation, and governance across historical and comparative contexts. Education: Ph.D. in Social Science, California Institute of Technology (1982) B.S. in History, California Institute of Technology (1978) Research Interests: Cox investigates the interplay between electoral institutions and political outcomes, including the effects of proportional representation on voter mobilization, the historical evolution of legislative power, and the political economy of suffrage reform. His research combines quantitative and historical methods to analyze topics like party systems, legislative agendas, and the long-term impacts of constitutional design. Key Contributions: Cox’s seminal works include The Efficient Secret (1983), Legislative Leviathan (1999), and Marketing Sovereign Promises (2016), which have won multiple awards. His recent articles address gender representation in parliamentary systems, the role of warfare in state formation, and the strategic dynamics of electoral teams. Awards & Honors: Guggenheim Fellow Elected to the American Academy of Arts and Sciences (1996) Elected to the National Academy of Sciences (2005) Recipient of major prizes including the Samuel H. Beer Dissertation Prize (1983) and the George H. Hallett Award (2003, 2007) Advising & Grants: Cox has advised numerous graduate students and has secured grants for research on electoral reform, legislative agendas, and historical political economy. His work often bridges theoretical and empirical analyses of political institutions. Labs/Teams: While no specific lab is named, Cox collaborates widely on projects analyzing legislative behavior and electoral systems through interdisciplinary teams.

• Hydrogeology
• Groundwater flow and transport modelling
• Contaminant hydrogeology
• +۵ مورد دیگر

Thomas Rüde is Universitätsprofessor for Hydrogeology at RWTH Aachen University , Germany, where he leads the Hydrogeology group within the Faculty of Georesources and Materials Engineering. Holding the chair since 2005, he also serves as Managing Director of the Vereinigung Aachener Geowissenschaftler e.V. and has previously been Vice-President (2008-2014) and Executive Council member (2000-2008) of the International Mine Water Association (IMWA). Education 2004 – Privatdozent (Dr. rer. nat. habil.), University of Munich 1995 – Dr. rer. nat., University of Karlsruhe 1991 – Diplom-Geologe, University of Karlsruhe Research focus Professor Rüde’s work centres on understanding and modelling flow and reactive transport in complex aquifer systems . Key themes include: Contaminant hydrogeology – behaviour of geogenic arsenic and uranium in groundwater Groundwater protection and remediation – risk assessment and mitigation strategies Mine-water management – acid mine drainage, dewatering-well clogging, post-mining landscapes Tracer and hydraulic testing – field experiments to quantify subsurface heterogeneity Numerical modelling – high-performance simulation of multi-aquifer systems and karst His research spans Europe (Germany, Austria, Netherlands), Latin America (Mexico, Indonesia) and South-East Asia, frequently in close collaboration with local universities and industry partners. Publication trends Since 2010, Rüde has published extensively on geogenic contamination (As, U, F) in sedimentary and volcanic aquifers, mine-water impacts , and karst hydraulics . Recent work (2022-24) highlights advanced environmental tracers (gadolinium), transboundary groundwater issues, and the sustainable management of post-mining landscapes under climate change. Numerical models range from site-scale dewatering optimisation to catchment-scale coupled flow-transport simulations. Scientific awards & recognition Best Teaching Award 2010 – RWTH Aachen University Best Teaching Award 2012 – RWTH Aachen University Best Teaching Award 2014 – RWTH Aachen University Supervision & academic service Since 1998 he has taught hydrogeology through lectures, seminars, laboratory and field courses, and computer-based modelling labs. To date he has supervised: 13 PhD candidates 34 Diploma students 57 MSc students 63 BSc students He is Chairman of the Study Commission for the BSc programme in Georesources Management at RWTH Aachen, ensuring curriculum development and quality assurance. Laboratory & field infrastructure His group operates modern hydrochemical laboratories for trace-element analyses and maintains field stations for tracer experiments in Germany, Mexico and Indonesia. High-performance computing resources (in collaboration with the Jülich Supercomputing Centre) enable large-scale groundwater modelling and Monte-Carlo uncertainty assessments.

Patrick M. Gillevetمشاهده پروفایل

استاد

• Molecular Ecology
• Bioinformatics
• Genomics
• +۵ مورد دیگر

Patrick M. Gillevet is a Professor and Director of the Microbiome Analysis Center at George Mason University, with a primary appointment in the Biology Department and affiliate faculty status in the School of Systems Biology. His career focuses on integrating genomics, bioinformatics, and molecular ecology to study microbiome interactions in human health and environmental systems, including the development of multitag sequencing for high-throughput microbial analysis. Education: Ph.D., Biochemistry, University of Manitoba (1982) B.S., Microbiology, University of Toronto (1976) His research explores dysbiosis in the human microbiome (gut, mouth, urogenital, respiratory tracts) and its role in diseases, cognitive function, and social behavior. He pioneered the concept of the "metabiome" to describe host-microbiome interactions in systems biology. Key projects include analyzing multitag sequencing for evolutionary studies and microbial community characterization in ecosystems. Recent publications highlight collaborations on gut microbiome trends in cirrhosis, alcohol use disorder, and antibiotic resistance, with a focus on cross-sectional and longitudinal analyses. His work spans clinical trials (e.g., griffithsin gel), dietary interventions, and environmental microbiome studies.

• Climate Change Mitigation
• Ecological Economics
• Technology Innovation
• +۵ مورد دیگر

Professor Jing Meng is a leading academic at University College London's Bartlett School of Sustainable Construction, holding the position since 2023 after progressing from Lecturer (2019-2021) to Associate Professor (2021-2023). She concurrently serves as a fellow at the Cambridge Centre for Environment, Energy and Natural Resource Governance and maintains active editorial roles as Executive Editor of the Journal of Cleaner Production and Associate Editor for Journal of Geophysical Research: Atmospheres. Her research spans three interconnected domains: Energy Transitions and Technology Innovation (examining cost forecasts and structural emission declines in China), Climate Change Policies (analyzing South-South trade effects and multinational enterprise emissions), and Emission-Health-Socioeconomics Nexus (assessing air pollution impacts and integrated co-mitigation strategies). This interdisciplinary approach is reflected in her publication record across Nature family journals and PNAS. Analysis of her recent publications reveals a consistent focus on global carbon accounting methodologies, with increasing attention to subnational (city-level) analyses, health co-benefits of climate policies, and technological innovation pathways for hard-to-abate sectors. Her work frequently employs multi-regional input-output modeling to trace emissions through complex supply chains. AGU Global Environmental Change Early Career Award (2023) MIT Technology Review Innovators Under 35 Asia Pacific (2022) Clarivate Highly Cited Researcher (2020-2024) Nature Communications Top 50 Earth Sciences Article (2018) MDPI Emerging Sustainability Leader Award (2020) Environmental Research Letters Best Early Career Article (2017) Professor Meng has secured substantial funding from diverse sources including NERC, the British Council, Quadrature Climate Foundation, The Royal Society, and UCL internal grants. She leads an interdisciplinary research group focused on technology innovation and climate policy, with particular emphasis on China's role in global emissions systems. Her work directly supports Sustainable Development Goal 13 (Climate Action) through actionable policy insights.

Joss Wrightمشاهده پروفایل

دانشیار

• Internet Censorship
• Privacy-Enhancing Technologies
• Cybercrime
• +۴ مورد دیگر

Joss Wright is an Associate Professor and Senior Research Fellow at the Oxford Internet Institute , University of Oxford. He co-directs the Oxford EPSRC Cybersecurity Doctoral Training Centre and the Oxford Martin Programme on the Wildlife Trade, focusing on computational approaches to social science questions about information control and privacy. Education : PhD in Computer Science from the University of York (research on anonymous communication systems), postdoctoral work at the University of Siegen (cloud computing security). His research spans internet censorship , privacy-enhancing technologies , and cyber-enabled crime (notably the online illegal wildlife trade ). He bridges technical analyses of security systems with their social and political implications, advising the European Commission and UK Parliamentary Science Committee on digital policy. Recent work includes machine learning applications to detect patent filing trends related to wildlife trade and analyzing Chinese smart city surveillance for human rights risks. He has contributed to media outlets like the Guardian and New Scientist. Notable projects include the Oxford Martin Programme on Wildlife Trade and studies on discriminatory effects of internet filtering . He supervises students like William Lugoloobi (DPhil in Social Data Science) and former advisee Samantha Bradshaw (now Assistant Professor at American University).

Thomas Pepinskyمشاهده پروفایل

استاد

• Comparative Politics
• Political Methodology
• Political Economy
• +۴ مورد دیگر

Thomas Pepinsky holds the prestigious Walter F. LaFeber Professorship of Government and Public Policy at Cornell University, where he is a faculty member in the Department of Government within the College of Arts and Sciences. He additionally serves as a Nonresident Senior Fellow at the Brookings Institution, bridging academic research with policy engagement. His academic career, which began at Cornell in 2008 after earning his Ph.D. from Yale University, has established him as a leading scholar in comparative politics with deep regional expertise in Southeast Asia. Professor Pepinsky's research examines the complex interactions between political and economic systems globally, with particular attention to democratic backsliding in Southeast Asia and Europe, the evolution of social categories like ethnicity in the Malay world, and methodological approaches to social science explanation. His work consistently connects theoretical political science with empirical analysis of real-world political phenomena, often employing innovative methodological frameworks to understand complex political dynamics across different contexts. His scholarly output demonstrates a clear trajectory from foundational work on Southeast Asian politics to increasingly comparative analyses examining democratic erosion, electoral behavior during political transitions, historical persistence of political attitudes, and the intersection of social categories with political economy. Recent publications reveal growing attention to contemporary crises including refugee flows, pandemic politics, and the challenges to democratic institutions worldwide. Among his significant professional activities, Dr. Pepinsky serves as editor of the Journal of East Asian Studies and is a co-founder and Executive Board member of the Southeast Asia Research Group (SEAREG). He also contributes to the Association for Analytical Learning about Islam and Muslim Societies (AALIMS) and the International Political Economy Society (IPES), reflecting his interdisciplinary approach. At Cornell, he actively participates in the Southeast Asia Program (SEAP) and teaches courses including Introduction to Comparative Government and Politics, Southeast Asian Politics at both undergraduate and graduate levels, and independent study opportunities. His international scholarly engagement is evident through visiting appointments at institutions including Amsterdam, the Australian National University, Freiburg, Griffith University, the Hertie School, and the National University of Singapore.

Xihong Linمشاهده پروفایل

استاد

• Statistical Machine Learning and AI
• Statistical Genetics and Genomics
• Causal Inference and Mediation Analysis
• +۴ مورد دیگر

Xihong Lin is a Professor of Statistics at Harvard University and a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She is a distinguished academic, holding membership in both the National Academy of Sciences and the National Academy of Medicine. Her research focuses on scalable statistical inference for big data, statistical machine learning, causal inference, and integrative data analysis, with applications in genomics, public health, and precision medicine. Lin’s work addresses challenges in analyzing large-scale genomic and multi-ancestry data, including methods for rare variant association testing, ancestry-adjusted sample analysis, and scalable computing frameworks. Her contributions span biobank studies (e.g., UK Biobank, TOPMed) and clinical applications in lung cancer, cardiovascular health, and smoking cessation. Her scientific awards reflect her leadership in statistical genetics and public health. Key research trends include leveraging single-cell sequencing for functional genomics, developing ensemble machine learning methods for health subtyping, and enhancing polygenic risk prediction across diverse populations. Lin’s methodologies prioritize interpretability and scalability, enabling impactful analyses of complex observational and genomic datasets. Awards: Member, National Academy of Sciences; Member, National Academy of Medicine Her grants and advising efforts focus on interdisciplinary collaborations, bridging statistics, AI, and domain sciences. Lin leads initiatives to improve genomic data management and ethical use of federated data (e.g., FADI framework). She is affiliated with labs advancing statistical genetics and cloud-based workflows (e.g., STAAR workflow).

Zoran Kalinicمشاهده پروفایل

استادیار

• Information Systems
• Electronic Business
• Mobile Commerce
• +۴ مورد دیگر

Zoran Kalinic serves as an Assistant Professor at the Faculty of Economics, University of Kragujevac, where he teaches Electronic Business since October 2012. Previously, he worked at the Faculty of Mechanical Engineering in Kragujevac from 1996 to 2005, and joined the Faculty of Economics in February 2005 as an assistant in Information Systems, later teaching Information Technology and Electronic Business from 2009 onward. Doctorate (2012): Faculty of Engineering, University of Kragujevac, specializing in information systems development and mobile communications Postgraduate studies: Faculty of Mechanical Engineering in Kragujevac (completed with average grade of 10) Bachelor's degree: Faculty of Mechanical Engineering in Kragujevac (1996, average grade 9.43) Professor Kalinic's research focuses on digital transformation and its economic implications, with particular expertise in mobile commerce, electronic business systems, digital payment technologies, and consumer behavior in online environments. His work frequently employs advanced analytical methods including artificial neural networks, structural equation modeling, and hybrid analytical approaches to investigate technology adoption patterns and digital marketplace dynamics. He has conducted extensive research on Serbian digital markets, including studies on mobile payment systems, e-commerce development barriers, and real estate price prediction using AI techniques. His publication record demonstrates a clear progression from foundational technology acceptance research toward more complex analyses of digital ecosystems, with recent work examining influencer marketing effects on TikTok, biometric payment systems, and gig economy measurement in Serbia. The integration of artificial intelligence methodologies with traditional consumer behavior theories represents a distinctive feature of his scholarly approach. Professor Kalinic maintains active international academic engagement through short study visits to institutions including the University of Udine, Vienna University of Economics, University of Maribor, Krakow University of Economics, Coventry University, Polytechnic of Turin, and Comenius University in Bratislava. He spent six weeks at the University of Maribor in 2007 through a Tempus IMG grant and served as a visiting lecturer at the Krakow University of Economics in 2012. Author/co-author of over 60 papers in international and domestic journals and conferences Participant in multiple scientific research and professional projects Recipient of academic awards during studies from University, Faculty, Ministry of Science and Technology of Serbia, Embassy of Norway, WUS-Austria, Zastava-Yugo Automobiles, and Kragujevac City Assembly His professional development includes a month-long visit to the Faculty of Informatics at the University of the Basque Country in San Sebastian (2004) and ongoing collaboration with regional and European academic institutions. Professor Kalinic's research bridges theoretical frameworks with practical applications in the Serbian and Western Balkan digital economy context.

Sofia Bullمشاهده پروفایل

دانشیار

• Television Studies
• Science and Medicine on Television
• Medical Humanities
• +۳ مورد دیگر

Dr. Sofia Bull is an Associate Professor in Film and Television Studies at the University of Southampton, affiliated with the Faculty of Arts and Humanities. She holds roles as Senior Tutor in Film, Research Integrity Champion of the Faculty, and Deputy Chair of the Faculty Research Ethics Committee. Her expertise bridges Film and Television Studies, with a focus on televisual discourses surrounding science, medicine, policing, and feminist film history. She earned a PhD in Cinema Studies from Stockholm University and has held positions at institutions including the University of Gothenburg and Columbia University. Her research includes a monograph on 'Television and the Genetic Imaginary' (2019), exploring DNA representation, and ongoing projects on viral disease representation in UK television. She supervises PhD students and teaches modules like Television Studies: Key Debates and Crime TV: Technologies of Detection. Dr. Bull’s research interests span feminist film history (e.g., pioneering Swedish title designer Alva Lundin) and crime television, including analyses of CSI and Sherlock . She has contributed to the Women Film Pioneers Project and published on medical reality TV, such as Scandinavian birthing shows. Her work examines how television shapes public understanding of scientific, medical, and cultural concepts through narrative and aesthetic forms.

Bruna Damiana Heinsfeldمشاهده پروفایل

استادیار

• Critical Perspectives on Educational Technology
• Technology Discourse Analysis
• Philosophy and Sociology of Technology
• +۳ مورد دیگر

Bruna Damiana Heinsfeld serves as Assistant Professor of Learning Technologies within the Department of Curriculum & Instruction at the University of Minnesota's College of Education and Human Development. Her research critically examines the intersections of technology, society, and education through the lens of Critical Studies of Education and Technology (CSET), with emphasis on power dynamics and social justice implications. Her academic credentials include: Ph.D. in Interdisciplinary Learning and Teaching (Learning Design and Technologies concentration) from UTSA M.A. in Education (Digital Languages, Media and Education concentration) from PUC-Rio, Brazil Multiple Postgraduate Certificates from Brazilian institutions: Media Discourse Analysis, Ontology and Epistemology, Philosophy/Sociology/Social Sciences, and Distance Learning Management B.A. in English Language and Literature from UERJ, Brazil Dr. Heinsfeld's research program centers on critical discourse analysis of educational technology narratives across corporate, policy, and educational contexts. She investigates how technological discourses are constructed and operationalized, particularly regarding digital equity, participatory exclusion, and the sociopolitical dimensions of technology adoption. Her methodological approach combines Critical Discourse Analysis (CDA) with critical pedagogy to unpack ideological, cultural, and economic factors shaping educational technology implementations. She examines epistemological foundations of technological beliefs and challenges neoliberal narratives in EdTech through rigorous deconstruction of policy documents and marketing materials. Analysis of her recent publications (2019-2023) reveals consistent focus on corporate influence in educational technology, with particular attention to Google and Microsoft's marketing narratives, pandemic-era remote learning disparities, and Latinx student experiences. Her work demonstrates how technological solutions often reinforce existing inequalities through participatory exclusion mechanisms, while her policy analyses expose contradictions between equity rhetoric and actual implementation. Recurring methodological threads include discourse analysis of educational landscape reports and critical examination of public policy frameworks. No scientific awards were documented in the provided materials. As an advisor, Dr. Heinsfeld cultivates a supportive environment grounded in social justice principles, emphasizing critical consciousness development and student autonomy. Her advising philosophy centers on accessible feedback, interdisciplinary exploration, and preparation for meaningful societal engagement. She teaches foundational courses including CI 4311W Technology and Ethics in Society (examining algorithmic bias, privacy concerns, and AI ethics) and CI 8147 Critical Discourse Analysis in Educational Research (focusing on language-power dynamics in educational contexts). While specific research laboratories aren't detailed, her collaborative work spans international contexts with Brazilian institutions and U.S. colleagues, particularly evident in joint publications with researchers like V. Marone and M. Pischetola. Her research trajectory indicates ongoing critical engagement with emerging technologies like AI in education policy, as evidenced by upcoming 2025 conference presentations.

Magnus Linnarssonمشاهده پروفایل

استاد

• Political history
• Urban history
• Early modern period
• +۴ مورد دیگر

Magnus Linnarsson is a Professor of History at Stockholm University's Department of History, specializing in political history with a focus on early modern and modern Sweden. His research examines institutional change, public-private service organization, and the evolution of the welfare city. He leads undergraduate programs and supervises students at all levels. PhD in History (2010), Lund University Associate Professor (2017), Stockholm University His research spans four centuries of political conflicts over public services, state formation, and urban development. Key works include analyses of Sweden's postal, customs, and welfare systems, comparing hierarchical and contractual state organization models. Recent publications (2024) in Nordic Welfare Cities explore urban citizenship and inclusive welfare systems since 1850, challenging national narratives by emphasizing local governance. Earlier studies (2022–2018) dissected regime shifts, mercantile-state relations, and publicness concepts in tramway and telecom debates. Current projects include: Skiftande regimer (2021–2025): State formation and administrative reform (Vetenskapsrådet-funded) Olika vägar till välfärdsstaden (2021–2025): Nordic urban welfare debates (Riksbankens jubileumsfond-funded) He advocates for interdisciplinary analysis of political economy, institutional loyalty, and spatial dynamics, connecting historical debates to modern policy challenges.

Hasan Gumralمشاهده پروفایل

استاد

• Differential Equations
• Geometric Mechanics
• Poisson Structures
• +۵ مورد دیگر

Professor Hasan Gumral is a distinguished faculty member at Yeditepe University's Faculty of Arts and Sciences, Department of Mathematics. With a career spanning several decades, he has established himself as a leading researcher in geometric mechanics and mathematical physics. His educational background includes a PhD from Bilkent University (1988-1992) with a thesis on "Integrability and Poisson structures of three dimensional dynamical systems and equations of hydrodynamic type," a Master's degree (1986-1988), and undergraduate studies (1981-1986) from Middle East Technical University, all in Physics/Mathematics. Professor Gumral's research focuses on the intersection of differential geometry and dynamical systems, particularly examining Hamiltonian structures in various physical contexts. His work bridges theoretical mathematics with applications in plasma physics and fluid dynamics, demonstrating how geometric frameworks can illuminate complex physical phenomena. His approach combines deep mathematical rigor with physical intuition, making significant contributions to understanding the geometric underpinnings of dynamical systems. His publication record shows consistent output in high-impact journals like Journal of Mathematical Physics and Journal of Geometric Mechanics, with research evolving from foundational work on Poisson structures to sophisticated analyses of plasma dynamics and geometric mechanics. TÜBİTAK Teşvik Award (Ministry of Science, Industry and Technology) Professor Gumral has supervised multiple graduate students, including Oğul Esen (Master's 2006, Doctoral 2010) and Aytan (Doctoral 2023). His teaching portfolio is extensive, covering undergraduate courses like Differential Equations and Differential Geometry, as well as graduate courses including Lie Groups and Lie Algebras and Introduction to Geometric Mechanics. He previously served as Department Chair at Yeditepe University from 2003.

• Modal Aesthetics
• Art Theory
• Political Philosophy
• +۵ مورد دیگر

Jordi Claramonte Arrufat is a Spanish philosopher and university professor at the National University of Distance Education (UNED) in the Department of Philosophy and Moral and Political Philosophy. His work centers on Modal Aesthetics , a theoretical system analyzing the relationships between necessity, contingency, possibility, and impossibility in art and sensitivity. He has authored six major essay works, including the foundational Estética Modal: Libro Primero (2016) and Libro Segundo (2021). PhD in Philosophy from UNED (2006) Visiting professor at MIT, Yale University, and Chicago Arts Institute His research bridges aesthetics with political and social self-organization processes, focusing on contextual art practices and the breakdown of artistic representation in favor of direct action. Collaborations include groups like Fiambrera Obrera and Sabotaje Contra el Capital Pasándole Pipa (SCCPP). In 2022, he delivered the talk Art to the Limit at Valencia's 1st Biennial of Thought, addressing creativity in times of social crisis. Publications include analyses of censorship, relational aesthetics, and applications of modal theory to cinema, architecture, and sculpture. Claramonte's work has inspired academic research across disciplines, including studies on: Modal applications in audiovisual media and cinema Architectural modal analysis Scultptural modal strata Tradition in modern aesthetics He has supervised 17 doctoral theses and contributed to critical dialogues on autonomy, precariousness, and the political dimensions of sensitivity.

Saud Alhusainiمشاهده پروفایل

استادیار

• Neurology
• Movement Disorders
• Parkinson's Disease
• +۴ مورد دیگر

Saud Alhusaini MD PhD is an Assistant Professor of Neurology at the Warren Alpert Medical School of Brown University and serves as a Neurologist/Movement Disorders Specialist at Rhode Island Hospital. His research integrates imaging genomics and multimodal brain imaging approaches to investigate neurological disorders including Parkinson's disease, essential tremor, and epilepsy. He is affiliated with the Carney Institute for Brain Science and collaborates extensively with clinicians, geneticists, electrophysiologists, MRI specialists, neuropsychologists, and data scientists. Education: PhD from the Royal College of Surgeons in Ireland (RCSI) MSc in Neuroscience from Trinity College Dublin MD from University of Dublin, School of Medicine Adult neurology residency at McGill University/Montreal Neurological Institute Clinical research fellowship at Yale School of Medicine Clinical fellowship at Stanford University Medical Center Dr. Alhusaini's research focuses on identifying key endophenotypes and subclinical biomarkers to elucidate the underlying mechanisms of complex neurological conditions. His work spans multiple areas including movement disorders, epilepsy, and brain structure genetics. He has made significant contributions to understanding the genetic architecture of brain structures through his involvement with the ENIGMA consortium, which conducts large-scale collaborative analyses of neuroimaging and genetic data across institutions worldwide. An analysis of his publication record reveals a consistent pattern of high-impact research at the intersection of neurology, genetics, and advanced imaging techniques. His recent work demonstrates particular expertise in Parkinson's disease genetics, epilepsy network analysis, and movement disorder diagnostics. The breadth of his research, spanning from basic genetic mechanisms to clinical applications, highlights his comprehensive approach to understanding neurological disorders. Dr. Alhusaini has received funding from the Rhode Island Research Foundation, Brown Physicians, Inc., and Advance RI-CTR to support his research initiatives. His collaborative approach is evident through his numerous multi-institutional projects and extensive co-author network across Brown University departments including Neurology, Neurosurgery, and Pathology and Laboratory Medicine.

Maria Fällmanمشاهده پروفایل

استاد

• Molecular microbiology
• Bacterial pathogenesis
• Infection biology
• +۷ مورد دیگر

Maria Fällman is a Professor at the Department of Molecular Biology at Umeå University, where she also serves as Deputy Head of Department. She is affiliated with Molecular Infection Medicine Sweden (MIMS), a leading research center for molecular infection medicine in Sweden. Dr. Fällman's research focuses on understanding the molecular mechanisms behind bacterial adaptation to different environments, with particular emphasis on Yersinia pseudotuberculosis and Salmonella enterica Typhimurium. Her group investigates gene regulation critical for establishing and maintaining infections, bacterial stress responses, and the molecular mechanisms of the Type Three Secretion System (T3SS). The lab has developed advanced methods for RNA extraction from complex tissue samples and performs in vivo gene expression analyses. Her publication record shows consistent contributions to understanding bacterial pathogenesis, with recent articles in high-impact journals including Nature Communications, Science, and PLOS Pathogens. Her work spans from fundamental molecular mechanisms of bacterial virulence to computational approaches for analyzing pathogen stress responses. A significant contribution is the PATHOgenex database (http://www.pathogenex.org), containing gene expression data of over 30 human pathogens exposed to different stress conditions. Dr. Fällman leads the Maria Fällman Lab, which has made important discoveries including the finding that sub-lethal doses of Yersinia result in persistent infection in mice with reprogramming of bacterial gene expression. Current projects focus on stress response modeling and deciphering heterogeneous populations of infecting bacteria using single-cell RNA-seq.