جست‌وجوی استاد و پژوهشگر

Nicholas Evansمشاهده پروفایل

استاد

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

Nicholas Evansمشاهده پروفایل

استاد

• Endangered Languages
• Linguistic Typology
• Historical and Contact Linguistics
• +۵ مورد دیگر

Nicholas Evans is Distinguished Professor of Linguistics and Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL) at the Australian National University’s School of Culture, History & Language. His work bridges fieldwork-based language documentation with theoretical questions in typology, cultural evolution, and social cognition. Focus on endangered Australian and Papuan languages Director of ARC Laureate Project on 'The Wellsprings of Linguistic Diversity' Co-leader of SCOPIC (Social Cognition Parallax Corpus) study Collaborator in global linguistic diversity initiatives His research explores how micro-level community multilingualism shapes macro-level linguistic diversity, with fieldwork spanning seven years in remote Indigenous communities. Recent projects include PARABANK (paradigm syncretism analysis) and Southern New Guinea language studies, particularly Nen and Yam family languages. Scientific recognition includes the Ken Hale Award (Linguistic Society of America), Anneliese Maier Forschungspreis, and fellowships in the Australian Academy of Humanities, Australian Social Sciences Academy, and the British Academy.

Tim Althoffمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Human-Centered Computing
• Data Science
• +۵ مورد دیگر

Tim Althoff is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington, specializing in Artificial Intelligence and Human-Centered Computing. His research focuses on behavioral data science, combining Data Science Natural Language Processing Social Computing Human-Centered AI Ethics & Fairness to extract insights about health and well-being. Recent publications highlight advancements in: Mental health support through AI Wearable sensor health monitoring Online community analysis Reproducibility in data science Public health interventions with notable papers in ACL, Nature Machine Intelligence, and NeurIPS. Scientific recognition includes: ACL 2023 Outstanding Paper Award WWW 2021 Best Paper Award Double ICWSM 2021 Best Paper Awards SIGKDD Dissertation Award 2019 Fulbright Scholarship German National Merit Foundation Actively mentoring postdoctoral researchers and seeking PhD students in areas like neural representation learning, NLP applications to psychology, and mobile health technologies through his Behavioral Data Science Group .

Dorothy Kimمشاهده پروفایل

استادیار

• Medieval Literature
• Digital Humanities
• Critical Race Studies
• +۶ مورد دیگر

Dorothy Kim serves as Assistant Professor of English at Brandeis University with cross-appointments in the Department of Women's, Gender and Sexuality Studies and the Women's Studies Research Center. Her innovative scholarship bridges medieval literary studies, digital humanities, and critical race theory, examining how medieval history is weaponized by contemporary white supremacist movements and advocating for antiracist frameworks in academia. She earned her Ph.D. and M.A. from the University of California, Los Angeles and her B.A. from the University of California, Berkeley. Her educational trajectory reflects deep engagement with interdisciplinary approaches to literature and cultural studies. Kim's research centers on exposing the racialized foundations of medieval studies, particularly through projects analyzing digital white supremacy and medievalism's role in alt-right ideology. She pioneers methodologies connecting medieval women's literary cultures with contemporary trans feminism while interrogating Jewish/Christian difference in manuscript studies. Her work consistently challenges the field's historical whiteness and develops decolonial digital humanities practices. Her publication trends reveal a decisive shift toward critical race interventions in premodern studies, with increasing focus on database methodologies, sonic histories, and the material politics of medieval manuscript transmission. Recent works demonstrate how digital tools can either reinforce or dismantle racial hierarchies in academic knowledge production. Her distinguished honors include: 2023 Medieval Academy of America Article Prize in Critical Race Studies American Studies Association Digital Humanities Book Prize (2021) Society for Medieval Feminist Scholarship's Best Feminist Article Award (2021) AAUW Postdoctoral Fellowship (2018-2019) Folger Shakespeare Library Long-Term Fellowship (2025-2026) SSHRC, Ford Foundation, Fulbright, and Mellon fellowships Kim directs major collaborative projects including the NEH-funded An Archive of Early Middle English (161-manuscript database) and co-leads the Global Middle Ages Project. As co-director of RaceB4Race and the Reckonings Institute, she creates platforms for community archiving and social justice praxis. Her mentorship focuses on training students in critical digital methodologies through Brandeis' DH Lab while developing antifascist frameworks for humanities education. She currently leads the Brandeis University DH Lab housing her NEH project, co-edits Literature Compass's pre-1800 section, and develops two major book projects: Race, the Crusades, and the Katherine Group (based on her AAUW fellowship) and Music, Multimodal Manuscripts, and Remediating the Medieval Lyric for ArcPress.

Soohyun Leeمشاهده پروفایل

مدرس ارشد

• Political Economy of East Asia
• Comparative Political Economy
• Welfare State Reform
• +۴ مورد دیگر

Dr. Soohyun Lee is a Senior Lecturer in Korean and East Asian Political Economy at King's College London, based in the Department of European & International Studies within the School of Politics & Economics. She holds a BSc from Ewha Womans University (South Korea), an MSc from the London School of Economics, and a DPhil from the University of Oxford. Affiliations: European Politics and Society Research Group King’s Korea Initiative Her research focuses on the comparative political economy of welfare states, particularly in East Asia and Europe, with an emphasis on labor market dualization, social policy reforms, and family policies. She has explored how countries address welfare challenges and the conditions for successful welfare state reforms. Her work has been published in leading journals such as World Politics , Comparative Political Studies , and Journal of Contemporary Asia . Dr. Lee teaches courses on the political economy of East Asian development, welfare state models, and capitalism. She supervises PhD students on topics related to welfare states, labor markets, and East Asian political economy. Grants & Projects: Learning to Reform the Welfare State and Labour Market: Korean Labour Market and Social Policy-Making in Comparative Perspective (Korea Foundation, 2020–2022) Welfare Reform and Social Progress in South Korea: Effective Social Policies for a Low-Fertility and Ageing Society (Korea Foundation, 2019–2020) Welfare States in Transition: International Policy Lessons for South Korea (Korea Foundation, 2018–2019) Recent News & Events: Her work on economic insecurity and right-wing populism was highlighted in news outlets (2024). Contributed to discussions on fertility and job security (2023). Presented at the SASE Annual Conference (2022).

• Data Science
• Machine Learning
• Computational Harmonic Analysis
• +۶ مورد دیگر

Pierre Vandergheynst is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the Department of Electrical Engineering, with a courtesy appointment in Computer and Communication Sciences. He serves as EPFL’s Vice-Provost for Education since 2015 and leads the Signal Processing Laboratory 2 (LTS2). His research spans harmonic analysis, sparse approximations, mathematical data processing, and applications in signal/image processing, computer vision, machine learning, and graph-based data analysis. PhD in Mathematical Physics (1998), Université catholique de Louvain Postdoctoral Researcher at EPFL (1998-2001) Assistant Professor at EPFL (2002-2007) His research explores geometry/symmetry in high-dimensional data, redundant dictionaries for dimensionality reduction, and computational harmonic analysis on manifolds. Recent work focuses on protein structure modeling, geometric deep learning, and graph-based signal processing. Key article trends include graph neural networks for protein analysis, geometric deep learning in neuroscience, and structured knowledge priors in neural models. His 2023-2025 publications emphasize interpretable AI, long-range dependencies in graphs, and molecular representation learning. Scientific Awards: IEEE Signal Processing Magazine Best Paper Award (2023) Signal Processing Society Best Paper Award (2022) Apple ARTS Award (2007) De Boelpaepe Prize, Royal Academy of Sciences of Belgium (2009-2010) He has supervised over 30 PhD theses and contributed to foundational work in graph signal processing, compressive sensing, and geometric deep learning. His lab develops tools for data science on non-Euclidean structures, with applications in medicine, astronomy, and wireless systems.

Alexis Battleمشاهده پروفایل

دانشیار

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

• Sports Medicine
• Concussion Management
• Pediatric Sports Injuries
• +۵ مورد دیگر

Holly J. Benjamin, MD is a distinguished sports medicine specialist at the University of Chicago, serving as the inaugural Director of the Primary Care Sports Medicine Program at UChicago Medicine Student Wellness Center. She holds leadership positions including Chair of the Committee on Sports Medicine & Fitness for the Illinois Chapter of the American Academy of Pediatrics, and serves as Head Medical Team Physician for the WNBA Chicago Sky and medical officer for major events including the Bank of America Chicago Marathon, US Soccer, and USA Triathlon. Her educational background includes: B.S. in Integrated Life Sciences, Kent State University (1994) Combined BS/MD, Northeastern Ohio Universities College of Medicine (1994) MD, Northeastern Ohio Universities College of Medicine (1994) Residency in Pediatrics, The University of Chicago Children's Hospital (1997) Fellowship in Primary Care Sports Medicine, Lutheran General Hospital (1998) Dr. Benjamin specializes in sports medicine with particular expertise in youth, adolescent, and collegiate athletes. Her research spans acute and overuse sports injuries, concussion management, sport biomechanics, and musculoskeletal ultrasound. She has made significant contributions to understanding injury prevention strategies, safe return-to-play protocols, and the psychological aspects of sports injuries. Her work frequently addresses female athletes and elite/professional athletes, with emphasis on evidence-based approaches to optimize performance while minimizing injury risk. Recent publications demonstrate a strong focus on concussion research, with multiple studies examining diagnostic approaches, recovery trajectories, and factors influencing outcomes. Her work spans biomechanics, mental health considerations in sports injuries, and innovative approaches to injury prevention across various athletic populations. Her scientific recognition includes: Election as Fellow of the American College of Sports Medicine (2003), becoming the second female pediatrician ever elected Election as Fellow of the American Medical Society of Sports Medicine Distinguished Alumni Award from The New Aurora High School Alumni (1999) Invitation to serve as volunteer physician for the Olympic Training Center (2008) Multiple expert contributions to national media including Runner's World and the Naperville Sun Dr. Benjamin actively mentors through her coaching roles at high school and collegiate levels, emphasizing safe return-to-play post-injury and injury prevention. She has developed educational content through video productions for the American Academy of Pediatrics and serves as head team physician for the University of Chicago Lab School and the NCAA Division III UChicago Maroons. Notably, she is one of only a few sports medicine specialists in the country offering diagnostic and procedural musculoskeletal ultrasound in her office, demonstrating her commitment to advanced diagnostic capabilities for patient care.

Emily Soمشاهده پروفایل

استاد

• Disaster Risk Reduction
• Earthquake Engineering
• Urban Resilience
• +۵ مورد دیگر

Professor Emily So serves as Deputy Head of the School of Arts and Humanities at the University of Cambridge and directs the Cambridge University Centre for Risk in the Built Environment (CURBE). A chartered civil engineer with extensive field experience, she holds leadership roles in the Open-Oxford-Cambridge AHRC Doctoral Training Partnership and chairs the Faculty EDI Committee. Her research focuses on urban risk and resilience , particularly in earthquake-prone regions. Combining structural engineering with epidemiological approaches, she develops innovative casualty estimation models and engages directly with affected communities worldwide. Her work spans seismic safety, disaster epidemiology, and remote sensing applications for rapid damage assessment. Professor So's publication trends reveal strong emphasis on machine learning for disaster risk modeling , with recent work featuring graph neural networks, deep clustering for urban morphology, and LSTM-based population forecasting. Her research bridges engineering, social sciences, and data science to address resilience in developing nations. 2010 Shah Family Innovation Prize (Earthquake Engineering Research Institute) Fellow of the Institution of Civil Engineers (FICE) Scientific Advisory Group for Emergencies (SAGE) member advising UK government As Director of CURBE, she leads interdisciplinary collaborations with EEFIT, Global Earthquake Model (GEM), World Bank, and USGS. Her field investigations following major earthquakes inform practical solutions for vulnerable communities, notably contributing to the 2017 World Building of the Year design in China. Current work includes sabbatical research for 2025-2026 focused on decolonizing architectural approaches to disaster resilience. Professor So maintains active roles in professional organizations and international disaster response frameworks, with her CURBE team developing methodologies now implemented globally for seismic safety improvements.

Daniel Duttonمشاهده پروفایل

دانشیار

• Social Epidemiology
• Public Health Policy
• Health Economics
• +۳ مورد دیگر

Dr. Daniel Dutton is an Associate Professor in the Department of Community Health and Epidemiology at Dalhousie University's Faculty of Medicine, based at the Dalhousie Medicine New Brunswick campus in Saint John. His research focuses on how social environments influence health outcomes and the role of government policies in mitigating these impacts, particularly in areas like poverty, homelessness, and health economics. He holds adjunct roles at the University of New Brunswick (Sociology) and is the Scientific Director of APPTA, a hub bridging aging research and policy. He teaches courses in epidemiology, population health, and statistics. Education: PhD in Community Health Sciences (University of Calgary) MA in Economics (University of Calgary) BA Honours in Economics (Queen’s University) Research Interests: Dr. Dutton examines population-level health determinants, government policy effectiveness, and socioeconomic disparities. His work employs large datasets and econometric models to analyze topics such as homelessness incidence, healthcare cost savings through preventive measures, and the distributional impacts of public spending. Key Contributions: Scientific Director of the APPTA aging and technology hub. Co-founder of the IMPART research collaborative. Author of influential studies on Housing First programs, opioid prescribing patterns, and the fiscal benefits of guaranteed annual income policies. Advising & Grants: Supervises multiple MSc students and has collaborated on grants analyzing healthcare utilization in New Brunswick and Alberta. His work often intersects with policy-making, emphasizing actionable insights from quantitative research. Labs & Teams: Leads the Dutton Research Group, which uses mascot Odin the Saint Bernard to foster team cohesion. Active in interdisciplinary collaborations across public health, sociology, and economics.

• Engineering Education
• Diversity and Inclusion in STEM
• Identity Development
• +۵ مورد دیگر

Dina Verdín serves as Assistant Professor in Engineering Education Systems and Design at Arizona State University's Polytechnic School, where she leads research on broadening participation in engineering through critical analysis of access and persistence barriers for first-generation, minoritized, and women students at intersectional identity junctions. Her educational foundation includes: Ph.D. in Engineering Education from Purdue University M.S. in Industrial Engineering from Purdue University B.S. in Industrial & Systems Engineering from San José State University Verdín's research program employs asset-based frameworks to examine how funds of knowledge and identity development influence engineering pathways. Her access strand investigates high school exposure barriers through culturally responsive activities that foster engineering interest and agency, while her persistence strand analyzes undergraduate institutional structures affecting identity negotiation and degree completion. This work centers intersectional methodologies to redefine engineering identity beyond traditional norms. Analysis of her 15 most recent publications (2020-2024) reveals consistent focus on first-generation Latinx students, classroom belonging mechanisms, and funds of knowledge applications. Her work predominantly utilizes mixed-methods approaches within Hispanic Serving Institutions, with growing emphasis on migratory student populations and critical engineering agency development. Her accolades include: NSF Graduate Research Fellowship IEEE Frontiers in Education Best Diversity Paper Award College of Engineering Outstanding Graduate Student Research Award AGEP Distinguished Scholar Award AERA Division D Top 3 In-Progress Research Verdín currently directs multiple NSF-funded initiatives including SAFE Teams (Student Asset-based Approach to Equitable Teams) and Reconceptualizing Community Cultural Wealth in engineering design. Her grants portfolio exceeds $1.3 million as PI/Co-PI, focusing on mastery learning implementation, engineering discipline disparities, and migratory student empowerment through gamified curricula. She teaches core courses in engineering statistics and research methods while mentoring graduate researchers. Her work actively shapes engineering education through community-engaged scholarship that centers student assets and challenges deficit-oriented paradigms in STEM persistence research.

• Natural Language Processing
• Computational Linguistics
• Event Detection and Understanding
• +۴ مورد دیگر

Teruko Mitamura is a prominent researcher at Carnegie Mellon University with over three decades of contributions to natural language processing, computational linguistics, and artificial intelligence. Her work spans from foundational research in event representation to advanced applications in multimodal systems and question answering. Her research interests focus on event detection and understanding, question answering systems, information retrieval, and multimodal processing. She has made significant contributions to event coreference resolution, timeline construction, and cross-document event analysis, developing methodologies that have become standard in the field. Her work often bridges theoretical advances with practical applications, particularly in complex information environments requiring deep semantic understanding. Natural Language Processing : Specializing in event extraction, coreference resolution, and narrative understanding with over 179 publications Question Answering Systems : Developing advanced techniques for complex question answering, particularly through NTCIR QA Lab and PoliInfo tasks Multimodal Processing : Integrating textual, visual, and temporal information for richer understanding in systems like ProMQA Evaluation Methodologies : Creating robust frameworks for assessing NLP systems through TAC KBP Event Tracks Her recent publication trends show a strong focus on leveraging large language models for event understanding, multimodal question answering, and timeline construction. She has expanded her research into specialized domains including patent analysis and novelty examination, demonstrating the breadth of her research impact across academic and practical applications. Active participant in major NLP conferences including ACL, EMNLP, NAACL, and AAAI with consistent publications Long-standing collaborator with researchers at CMU's Language Technologies Institute including Eduard H. Hovy and Eric Nyberg Contributor to shared tasks that have shaped research directions in event processing and question answering Organizer of multiple NTCIR QA Lab tasks focused on political information question answering Dr. Mitamura has mentored numerous researchers who have gone on to make their own contributions to the field, as evidenced by her extensive co-authorship network and the progression of her former students and collaborators into faculty and research positions. Her work continues to evolve with the field while maintaining her focus on deep semantic understanding of events and narratives.

Ellen Riloffمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +۳ مورد دیگر

Ellen Riloff serves as Department Head and Professor in the Department of Computer Science at the University of Arizona, where she leads research at the intersection of natural language processing (NLP) and artificial intelligence. Her work bridges theoretical advancements with real-world applications in social computing, planetary science, and crisis response systems. Education: Ph.D. in Computer Science, University of Massachusetts at Amherst (1994) Research Focus: Dr. Riloff specializes in affective computing and information extraction , developing techniques to recognize emotion, social cues, and embodied expressions in text. Her methodologies frequently employ bootstrapping, stacked learning, and semantic lexicon induction. Recent projects address crisis informatics (e.g., social cue recognition in emergencies) and interdisciplinary applications like the Mars Target Encyclopedia for planetary science data extraction. Publication Trends: Analysis of her 15 most recent publications (2021–2025) reveals three dominant trajectories: (1) affective event modeling in social contexts with applications to crisis response; (2) domain-specific NLP for planetary science and food systems; and (3) advanced language model techniques including retrieval-augmented generation and multi-view prompting. Her work increasingly integrates deep learning with traditional linguistic features. Grants and Leadership: Dr. Riloff has directed multiple NSF-funded projects, including RI: Small: Recognizing Implicit Personal States in Natural Language (2016) and RI: Small: Acquiring Domain Knowledge from Text through Cooperative Bootstrapping (2010). These initiatives pioneered bootstrapping frameworks for affective event recognition and information extraction. She also co-organized the Workshop on Pattern-based Approaches to NLP (2023), highlighting her leadership in advancing hybrid NLP methodologies. Collaborative Infrastructure: She co-developed the Mars Target Encyclopedia—a large-scale information extraction system that processes planetary science literature to create structured databases of Mars surface targets. This project demonstrates her commitment to building reusable scientific infrastructure through NLP.

Nils Holzenbergerمشاهده پروفایل

استادیار

• Natural Language Processing
• Artificial Intelligence
• Legal AI
• +۳ مورد دیگر

Nils Holzenberger is an Assistant Professor at Télécom Paris, France, since February 2023, affiliated with the Data Intelligence Graphs (DIG) research team within the Information Processing and Communication Laboratory (LTcI). His work bridges artificial intelligence, natural language processing, and legal domains through neuro-symbolic approaches to statutory reasoning, particularly in tax law. Education: PhD in Computer Science, Johns Hopkins University (2017-2022) Master's in Engineering, Mines ParisTech (2013-2017) Preparatory Classes, Lycée Louis-le-Grand (2011-2013) Holzenberger's research centers on legal artificial intelligence with emphasis on statutory reasoning limitations in large language models. He pioneered the SARA dataset for tax law reasoning and LegalBench benchmark, developing hybrid symbolic-neural frameworks that expose LLMs' shortcomings in precise legal interpretation. His work integrates Prolog solvers with NLP techniques to create executable tax code mappings and contract analysis tools, establishing foundational methods for verifiable legal AI systems. Analysis of his 15 most recent publications (2019-2024) reveals three dominant research thrusts: (1) Tax law reasoning benchmarks exposing LLM hallucinations, (2) Neuro-symbolic integration for statutory interpretation, and (3) Low-resource template extraction for legal documents. His work consistently demonstrates that pure neural approaches fail at precise legal reasoning, necessitating symbolic grounding for reliable legal AI applications. The DIG research team at Télécom Paris, where Holzenberger leads legal AI initiatives, is actively hiring faculty for neuro-symbolic projects. While specific grant details aren't public, his collaborations with HEC Paris, Copilex startup, and featured podcast appearances indicate substantial industry-academia engagement in legal tech development. Holzenberger directs the legal AI vertical within LTcI's DIG team, focusing on data intelligence for statutory reasoning. His group develops tools for tax minimization strategy discovery, contract analysis, and legal information extraction, maintaining close ties with legal practitioners through projects like the Prolog-based tax code interpreter. The team's infrastructure supports both academic research and startup partnerships in computational law.

Tracey Gallowayمشاهده پروفایل

دانشیار

• Indigenous health
• circumpolar populations
• nutrition transition
• +۷ مورد دیگر

Tracey Galloway is an Associate Professor in the Department of Anthropology at the University of Toronto Mississauga (UTM), where she conducts critical research on Indigenous health disparities and policy interventions in northern Canada. Her work bridges medical anthropology, public health, and community-based participatory research to address systemic inequities affecting circumpolar populations. Education: PhD, McMaster University, 2008 MA (institution unspecified) BA (institution unspecified) BScN (institution unspecified) Dr. Galloway's research program centers on chronic disease risk assessment and health system improvement in Indigenous communities, with specific expertise in nutrition transition, food security, child growth patterns, and public health policy evaluation. She examines the impact of federal programs like Nutrition North Canada while developing community-led solutions for health equity. Her methodological approach combines quantitative analysis of health outcomes with qualitative community engagement, emphasizing Indigenous research sovereignty and decolonizing methodologies. Her publication record reveals consistent thematic focus across 15 recent articles, demonstrating interdisciplinary collaboration between anthropology, epidemiology, and health economics. Key trends include rigorous evaluation of colonial impacts on Indigenous food systems, innovative analysis of subsidy program effectiveness, and centering Indigenous patient experiences in healthcare design. Her work consistently prioritizes community-defined research questions and actionable policy recommendations. Dr. Galloway actively mentors graduate students including Darci Belmore, Carly Checholik, Neda Maki, and Hiliary Monteith, guiding research on Indigenous health determinants and policy interventions. While specific grant details aren't publicly enumerated, her collaborative projects involve partnerships with Indigenous communities across Northern Canada and interdisciplinary teams addressing complex health system challenges. She maintains strong community partnerships for her applied research, particularly in Nunavut and Northwestern Ontario, working directly with Anishinabeck and Inuit communities to translate findings into culturally safe health initiatives and policy reforms that address the root causes of health inequities.