جست‌وجوی استاد و پژوهشگر

Shilov Valery Vladimirovichمشاهده پروفایل

استاد

• Parallel Computing
• Parallel Architectures
• History of Informatics
• +۳ مورد دیگر

Valery Vladimirovich Shilov is a Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) in Moscow. He began working at HSE in 2015 and has extensive scientific and teaching experience spanning several decades across various prestigious institutions in Russia. His educational background includes a degree in Applied Mathematics from Lomonosov Moscow State University (1976), qualification as a Lawyer from the Higher Institute of Management (2001), and the academic title of Candidate of Technical Sciences (1989). His professional journey began at Central Research Institute 45 of the Ministry of Defense of the USSR (1976-1989), continued at the USSR Academy of Sciences Computing Center (1989-1997), and included professorial positions at MATI - Russian State Technological University named after K.E. Tsiolkovsky (1997-2015), where he also served as Head of the Department of Design of Computing Complexes and Deputy Dean of the Engineering and Economic Faculty for Science. Professor Shilov's research focuses on parallel computing, parallel architectures, and the history of informatics, with particular emphasis on Soviet and Russian computing history. His scholarly output demonstrates deep engagement with historical aspects of computing technology, including early mechanical calculators, Soviet-era computer development, and the evolution of computing in Eastern Europe. His publications reveal a consistent pattern of examining how computing technologies evolved within specific historical, political, and economic contexts, with special attention to Russian and Soviet contributions. His numerous scientific awards reflect significant recognition in his field, including honors from the Ministry of Education and Science of Russia, the Russian Section of IEEE Computer Society, the Polytechnic Museum, and multiple awards from HSE University. His leadership in organizing academic conferences, particularly those focused on the history of computing in Russia and former Soviet states, has been instrumental in preserving and advancing knowledge in this specialized area. Professor Shilov has supervised multiple PhD students focusing on software engineering, processor architecture, and parallel computing algorithms. His grant activities include leading an RFBR project on the history of domestic computing and informatics (1946-1960), demonstrating his commitment to documenting and analyzing the historical development of computing in Russia. He remains actively involved in academic service as a member of editorial boards for several journals and as a participant in numerous international conferences.

Laura Kudrnaمشاهده پروفایل

دانشیار

• Behavioral Change Programs
• Workplace Wellbeing
• Diabetes Research
• +۵ مورد دیگر

Laura Kudrna is an Associate Professor in Applied Health Sciences, focusing on behavioral change programs and workplace wellbeing. She supervises PhD students in areas such as COM-B and Mindspace frameworks, subjective wellbeing, and time-use tracking. Affiliation: Applied Health Sciences Key Projects: Springboard (cultural survey design), PRE-EMPT (cervical screening), Rwanda912 (emergency transport algorithms) Research Interests: Her work bridges behavioral science with public health, emphasizing structured interventions to improve wellbeing in workplaces, post-cancer care, and low-income settings. She employs mixed-methods evaluations and cluster trials to assess health initiatives. Recent Trends: Analysis of pandemic impacts on mental health (type 2 diabetes), workplace incentive structures, and socioeconomic determinants of wellbeing dominate her publications. Collaborations span the UK, Rwanda, and Mali, with funding from NIHR and the Academy of Medical Sciences. Advising: Currently accepts PhD students but no named advisees are listed. She leads major cross-regional studies and contributes to policy frameworks for health programs.

• Global Health
• Epidemiology
• Musculoskeletal Diseases
• +۱۱ مورد دیگر

Dr. Evelyn Hsieh Donroe, MD, PhD, is an Associate Professor of Medicine (Rheumatology) and Chronic Disease Epidemiology at Yale University, with additional roles as Chief of Rheumatology at VA Connecticut Healthcare System and Network Lead for the Yale Network for Global Non-Communicable Diseases (NGN). She bridges biomedical and behavioral sciences to develop prevention strategies for osteoporosis, sarcopenia, and fractures in low-resource settings. Education: AB in Molecular Biology (Princeton), MD (Stony Brook), MPH (Harvard), PhD in Investigative Medicine (Yale) Research Focus: HIV-related musculoskeletal comorbidities in economic transition countries (China, Peru), secondary osteoporosis in chronic conditions (RA, breast cancer), and VA-based studies leveraging the Veterans Aging Cohort. Key Projects: Quarterly Vitamin D supplementation trials in China, fracture risk prediction tools for veterans, and NCD care integration for HIV patients in Peru. Scientific Contributions: Developed BoneScore NLP algorithm for DXA data extraction, conducted cross-national studies on HIV-aging, and leads global capacity-building programs through CMB Fellowships and Fulbright scholarship. Awards: 2018-2019 U.S.-China Fulbright Scholar 2016 Stony Brook 40 under Forty Alumni Award American College of Rheumatology Distinguished Fellow (2013) Mentorship: Directs Global Health Emerging Scholars Program, CMB Global Health Fellowship Programs, and NIH T32 Training Program in Rheumatology.

• Health Policy
• Medicaid Policy
• Health Equity and Disparities
• +۶ مورد دیگر

Chima D Ndumele is an Associate Professor of Public Health (Health Policy) at the Yale School of Public Health and a Professor at the Institution for Social and Policy Studies . His research focuses on Medicaid policy, health equity, and safety-net healthcare systems, with a particular emphasis on how policy changes affect vulnerable populations and chronic disease management. Doctorate from Brown University School of Public Health (2013) ORCID: 0000-0002-4887-0043 Key collaborations with Yale researchers including Jacob Wallace, Harlan Krumholz, and Yuan Lu Dr. Ndumele’s recent publications examine Medicaid eligibility procedural denials, SNAP work requirements, racial disparities in pandemic mortality, and alternative payment models in safety-net hospitals. His work integrates health policy analysis with empirical studies on insurance coverage effects and socioeconomic determinants of health outcomes. Current affiliations include the Diabetes Research Center , SCALE Medicaid Lab , and multiple roles in health policy research. He contributes to the JAMA Health Forum , JAMA Internal Medicine , and Health Affairs , focusing on equity in healthcare access and delivery.

• Game Theory
• Political Economy
• Macroeconomics
• +۶ مورد دیگر

Salvatore Modica serves as a Full Professor of Economics (ECON-01/A) at the University of Palermo, Italy, within the Department of Economics in the School of Economics and Business Administration. His academic career spans over fifteen years with continuous teaching assignments from the 2009/2010 academic year through the upcoming 2026/2027 term. Professor Modica maintains regular office hours on Mondays, Wednesdays, and Fridays from 1:00 pm to 2:00 pm and can be contacted at salvatore.modica@unipa.it or by phone at +3909123895276. Professor Modica's research focuses on the theoretical foundations of economic behavior with particular emphasis on game theory, political economy, and institutional analysis. His work examines how social norms emerge and persist through evolutionary processes, how power dynamics shape institutional development, and how strategic interactions determine economic outcomes. He has developed sophisticated theoretical frameworks for analyzing collective action problems, leadership structures, and the political economy of conflict, often bridging mathematical rigor with institutional insights. His recent scholarly output demonstrates a clear trajectory toward increasingly sophisticated applications of game theory to political economy questions. Publications from 2021-2024 show deep engagement with how social norms interact with power structures, how institutions evolve through conflict, and how seemingly irrational behaviors emerge as stable equilibria. His work increasingly connects theoretical game-theoretic models with historical and contemporary political economic phenomena, particularly in understanding state formation and organizational behavior. Throughout his career, Professor Modica has maintained a robust teaching schedule across multiple disciplines including Informatics, Business Economics, Statistics and Data Science, and Economic and Financial Sciences. His core courses—Calculation of Probabilities, Game Theory, and Political Economy—have been consistently offered across various degree programs, demonstrating his central role in providing quantitative economic education at the University of Palermo.

C. Michael Gibsonمشاهده پروفایل

استاد پژوهشی

• Interventional Cardiology
• Cardiovascular Research
• Clinical Trials
• +۳ مورد دیگر

C. Michael Gibson, MD is a leading interventional cardiologist, cardiovascular researcher, and educator at Harvard Medical School , where he serves as the Chief Executive Officer of the Baim Institute and PERFUSE Research Institute . These institutes have led over 1,000 studies and 5,500 peer-reviewed publications, including 144 in the New England Journal of Medicine . Key Roles: Director of Coronary Care Unit, Cardiac Catheterization Laboratory Director, Chief of Cardiology, Vice Chairman of Medicine Education: BS, MS, and MD from the University of Chicago (Phi Beta Kappa, AOA), followed by training at Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center Research Focus: Pioneered the open artery and microvasculature hypothesis in heart attacks, developed widely used coronary blood flow measures (TIMI frame count, TIMI myocardial perfusion grade), and leads virtual clinical trials like the HEARTLINE trial of the Apple Watch. Current work includes Factor XI inhibitors (milvexian) and apolipoprotein AI infusions for cardiovascular disease. Scientific Contributions: Over 148,000 citations, 659 publications, and leadership in guidelines like the Bleeding Academic Research Consortium . Notable trials include ANDexanet Alfa for anticoagulant reversal and the PEERLESS study comparing mechanical thrombectomy to thrombolysis in pulmonary embolism. Leadership: FDA Cardiorenal Panel member (2017–2021), founder of WikiDoc.org and ClinicalTrialsResults.org Media Influence: Chief Medical Correspondent for the American College of Cardiology, 435K+ social media followers Scientific Awards: Consistently ranked among the world’s most highly cited authors (Thomson Reuters, 2014–present), 50 Most Influential Voices in Healthcare (Medika Life, 2021), and Boston’s Top Doctors (multiple years).

Yuichi Moriمشاهده پروفایل

استاد

• Gastroenterology
• Artificial Intelligence in Medicine
• Colorectal Cancer Detection
• +۳ مورد دیگر

Professor Yuichi Mori is a leading academic at the University of Oslo , affiliated with the Faculty of Medicine and the Department of Health Management and Health Economics . He serves as a Consultant Gastroenterologist at Oslo University Hospital and a Visiting Lecturer at Showa University Northern Yokohama Hospital in Japan. His work focuses on the implementation of artificial intelligence in clinical gastroenterology , particularly in colonoscopy and colorectal cancer detection.

• Science Communication
• Risk Communication
• Science Journalism
• +۴ مورد دیگر

Mikihito Tanaka is a Professor at Waseda University 's School of Political Science and Economics , with a PhD from the University of Tokyo. He serves as Director of the Institute for the Next Generation of Journalism and Media since 2025.04. His research areas span Science Communication , Risk Communication , Social Media Studies , and Science Journalism . He has held visiting roles at institutions like the University of Wisconsin-Madison (2010-2023) and advisory positions for Japan's Ministry of Health, Cabinet Office, and JST. Research Trends from his 25+ publications (2000-2025) reveal: Climate change communication strategies across 68 countries Analysis of artificial earthquake misinformation on social media Pandemic science-policy dynamics during Japan's early COVID-19 response Cultural AI perception through techno-animism frameworks Global HPV vaccine discourse polarization on Twitter Wikipedia knowledge co-production during public health crises Scientific Contributions include: 2025: Kakiuchi Memorial Encouragement Prize for science communication 2011: NiSTEP Award for outstanding policy research Professional Leadership involves: Chairing the G7 Science Communication Working Group (2023-Now) Advisory roles for Tokyo Metropolitan Government (2021-Now) and JST's Genome Ethics Research Group (2017-Now) Editorial contributions to journals like Frontiers in Sociology and Scientific Data

Alison M. Buttenheimمشاهده پروفایل

استاد

• Public Health
• Behavioral Science
• Behavioral Economics
• +۴ مورد دیگر

Alison M. Buttenheim serves as CHIBE's Scientific Director and holds dual professorships at the University of Pennsylvania: as a Professor in the Department of Family and Community Health at the School of Nursing and as a Professor in the Department of Medical Ethics and Health Policy at the Perelman School of Medicine. She also directs engagement efforts at Penn LDI, demonstrating leadership across multiple institutional platforms. Dr. Buttenheim is a leading public health scholar and behavioral scientist whose research addresses persistent behavior change challenges in public and global health. She applies behavioral economics and behavioral public policy frameworks to design, test, and scale innovative interventions for preventing and mitigating infectious diseases. Recognized globally as an expert in vaccine acceptance and behavioral design, she co-directs Penn's Behavioral Economics and Global Health Insights (BEGIN) Lab with Dr. Harsha Thirumurthy. Her work extends internationally through Indlela, a pioneering 'nudge unit' supporting HIV service delivery innovations in South Africa, where she serves as the Behavioural Science Technical Design Lead. Analysis of Dr. Buttenheim's recent publication record reveals a strong emphasis on vaccine acceptance, infectious disease prevention, and behavioral interventions in global health contexts. Her research spans public health, behavioral science, and global health implementation, with recurring themes including addressing vaccine hesitancy, designing effective health communication strategies, and applying behavioral economics principles to improve health outcomes in resource-limited settings. Her work demonstrates consistent methodological rigor with applications across diverse populations and health challenges. Co-director, Penn's Behavioral Economics and Global Health Insights (BEGIN) Lab Behavioural Science Technical Design Lead, Indlela (nudge unit for HIV service delivery in South Africa) Scientific Director, CHIBE Director of Engagement, Penn LDI

• Stochastic Modelling
• Health Economics
• Healthcare Analytics
• +۴ مورد دیگر

Gizem S. Nemutlu is Assistant Professor of Data Analytics at Brandeis International Business School and a research affiliate at Massachusetts General Hospital’s Institute for Technology Assessment. Trained in stochastic modelling and health economics, she applies operations-research methods to cancer-surveillance policy and immunisation programmes. Education: Ph.D. in Management Sciences, University of Waterloo, Canada B.S. in Statistics, Hacettepe University, Turkey Research Interests: Her work integrates stochastic modelling, data-driven optimisation and health-economic evaluation to inform policy design in immunisation and cancer surveillance. Recent projects quantify cost-effectiveness of risk-stratified hepatocellular-carcinoma surveillance, evaluate HPV-related cancer trends, and forecast global breast-cancer control trajectories toward 2030 SDG targets. Publication Trends: Across 16 peer-reviewed works (2013-2025) she consistently employs Markov and decision-process models to compare surveillance strategies for liver, anal and colorectal cancers, assess biomarker-based screening, and measure population-level impacts of HPV vaccination. Studies appear in high-impact oncology and health-policy venues. Scientific Awards: None disclosed in supplied materials. Advising & Grants: No students or funded-grant details are provided in the source text. Labs & Teams: She collaborates with the Institute for Technology Assessment at Mass General Hospital, indicating ongoing interdisciplinary teamwork in health technology assessment and economic evaluation.

• agent and multi-agent systems
• online auctions
• machine learning
• +۶ مورد دیگر

Patricia Anthony serves as Associate Professor at Lincoln University's School of Landscape Architecture in New Zealand, where she holds an ORCID identifier 0000-0002-4991-3340. Her academic appointments include Faculty Postgraduate Chair for the Faculty of Environment, Society and Design (2021-2024) and current affiliation with the Centre for Geospatial and Computing Technologies (2025-present). Previously, she served as Head of Department (2016-2017), Department Postgraduate Coordinator (2014-2016), and SHIFT Coordinator (2017-2020). Her educational background comprises a Ph.D. from the University of Southampton, United Kingdom; an M.Sc. from Birkbeck, University of London, United Kingdom; and a BSc (High Honors) from the State University of New York, United States. She is proficient in Malay language, with reading, writing, and speaking capabilities. Dr. Anthony's research centers on agent and multi-agent systems, utilizing artificial intelligence techniques including machine learning, evolutionary computation, and text processing as decision-making strategies for agents. She is recognized as a leading researcher applying intelligent agents across diverse domains such as online auctions, agriculture, education, and social media analysis. Her specialized work in sentiment analysis and emotion identification enables agents to detect emotional states in textual communications, with recent applications in earthquake tweet analysis. Her publication record demonstrates consistent scholarly output with over 130 publications, showing particular strength in applying multi-agent systems to practical challenges. Recent work reveals three major research streams: trust and reputation management in IoT environments (accounting for approximately 30% of recent publications), agricultural technology applications including mastitis detection and water resource management (approximately 40%), and social media analysis focusing on elderly technology adoption and cyber aggression classification (approximately 30%). Adjunct Professor, Hubei University of Technology, Wuhan, China Program Committee/Senior Program Committee member for Pacific Rim International Conferences on Artificial Intelligence (PRICAI) 2016, 2018, 2019 Co-chair for International Carnahan Conference on Security Technology (ICCST) 2014, 2016, 2018, 2020 Member of Institute of Electrical and Electronics Engineers (IEEE) Reviewer for Engineering Applications of Artificial Intelligence, Malaysian Journal of Computer Science, and Adaptive Behaviour Dr. Anthony has supervised numerous postgraduate students across multiple research areas related to multi-agent systems, with completed projects spanning cyber aggression classification, agricultural technology, IoT security, and elderly technology adoption. She serves as an examiner for advanced computing courses including Advanced Database (COMP643), Advanced Programming (COMP642), and Studio Project (COMP639), demonstrating her integration within the university's computing curriculum despite her Landscape Architecture appointment. Her research aligns with Sustainable Development Goal 11 (Sustainable Cities and Communities), reflecting her commitment to applying computational techniques to address real-world challenges in urban and community contexts. She actively collaborates across disciplines through the Centre for Geospatial and Computing Technologies, bridging computational methods with landscape architecture applications.

• Regional Planning
• Urban Design
• City Planning
• +۴ مورد دیگر

Mehmet Ali Yüzer is an Associate Professor at the Department of Urban and Regional Planning , Istanbul Technical University . With a focus on Regional Planning , Urban Design , and City Planning , his work integrates computational methods and spatial modeling to address urban growth, land-use dynamics, and transportation systems. PhD in Urban Planning (Istanbul Technical University, 1997) MA in Urban Planning (Istanbul Technical University, 1991) Licence in Urban and Regional Planning (Istanbul Technical University, 1985) His research explores parcel-based estimation models , cellular automata for urban prediction, and gravity models for transportation demand. Key projects include analyzing the impact of high-speed rail systems on regional accessibility and developing frameworks for industrial area site selection and urban expansion assessment . Recent publications highlight his contributions to 3D urban growth modeling , land use change analysis , and industrial location prediction . Awards include multiple Honorable Mentions in national architectural and urban design competitions from 2001 to 2014. Scientific Awards : Bursa Kültürpark Competition (5th Honorable Mention, 2001); Çanakkale Social Housing Renewal (2014); ITU Ayazağa Campus Master Plan (1st Honorable Mention, 2012); Denizli Government Office Urban Design (1st Honorable Mention, 2009); Kadıköy Square Competition (2nd Honorable Mention, 2001) He has led projects such as the ITA Ayazağa Campus Urban Design , Socioeconomic Effects of High-Speed Rail , and Gravity Model Development for Istanbul’s Kayaşehir Region . His work emphasizes interdisciplinary collaboration and geospatial technologies.

Rolando Fuentesمشاهده پروفایل

استاد

• Energy Economics
• Electricity Sector Business Models
• Energy Policy
• +۳ مورد دیگر

Rolando Fuentes is a Professor in the Department of Finance and Business Economics at EGADE Business School, Tecnológico de Monterrey. His expertise spans economic analysis, business economics, and innovation with a specialized focus on energy systems and policy. Previously, he held research positions at King Abdullah Petroleum Studies and Research Center (KAPSARC) and academic roles at the London School of Economics. His academic credentials include: Ph.D. in Environmental Economics from the London School of Economics and Political Science M.Sc. in Environmental and Natural Resource Economics from University College London B.A. in Economics from Tecnológico de Monterrey Professor Fuentes' research centers on transformative dynamics in energy systems, particularly examining how digitalization and technological disruptions reshape electricity markets. His work investigates novel business models for decentralized energy systems, the integration of renewable resources, and policy frameworks for sustainable transitions. He specializes in the economic implications of grid modernization, critical minerals supply chains, and ESG-driven financial mechanisms, with significant regional focus on Mexico's energy landscape and Gulf Cooperation Council nations. His interdisciplinary approach bridges environmental economics, technological innovation, and strategic policy design. Analysis of his recent publications reveals a strong trajectory toward integrated energy transition frameworks. His work increasingly connects digital transformation with electricity market evolution, examines ESG factors in energy finance, and develops data-driven methodologies using social media analytics for innovation mapping. The research demonstrates consistent focus on practical policy applications, particularly regarding subsidy design, nearshoring impacts, and climate-resilient infrastructure in emerging markets. His notable scientific recognition includes: British Chevenning Scholarship Best Paper Award at the 8th Conference on the Regulation of Infrastructures (Florence School of Regulation) Professor Fuentes has supervised master's theses at LSE and contributed to energy policy development through public sector roles including Director of International Negotiations at Mexico's Secretaría de Energía (SENER) and leadership positions within the Undersecretariat of Hydrocarbons. His advisory work bridges academic research with practical policy implementation, particularly in electricity sector liberalization and climate-responsive energy frameworks. At EGADE Business School, he actively contributes to the Digital Evolution Center and FAIR Center for Financial Access, Inclusion and Research, aligning his work with institutional priorities in sustainable business innovation and financial inclusion. His current projects explore AI-driven energy strategy codification and critical minerals supply chain resilience for just energy transitions.

Ning Yuمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Ning Yu serves as an Associate Professor in the Department of Computing Sciences within the School of Arts & Science at State University of New York Brockport. He earned his Ph.D. in Computer Science from Georgia State University and joined SUNY Brockport in 2017 after serving as a Tenure-Track Assistant Professor at the University of South Carolina Upstate. Georgia State University, Computer Science, Ph.D. Southern Illinois University Carbondale, Computer Science, M.S. Dr. Yu's research spans artificial intelligence, network and information security, big data analytics, deep learning, and cloud computing with significant applications in bioinformatics. His work demonstrates a clear progression from foundational AI and security research toward specialized applications in healthcare and energy systems. The most recent publications show increased focus on graph-based deep learning approaches for biomedical problems, particularly in cancer genomics and drug response prediction. His scholarly impact includes over 40 publications in prestigious venues including ACM/IEEE Transactions, BMC, PLoS, and Information Sciences. The publication trend reveals consistent output with increasing emphasis on interdisciplinary applications, particularly at the intersection of AI and biomedical research. Teacher of The Year, School of Science and Art, SUNY Brockport 2022-2023 Influential Professor 2022, SUNY Brockport, Fall 2023 Provost Post-Tenure Scholarship Award, $3,500, SUNY Brockport, Spring 2024 Google Research Credits Grants (2018, 2020-2021) WORLDWIDE TOP 10 FINALISTS, IBM 2017 Watson Analytics Global Competition As an educator, Dr. Yu has mentored numerous undergraduate researchers who have presented at national conferences including NCUR and SURC. He founded SUNY Brockport's first ACM SIGAI Student Chapter and has secured significant funding including a multi-campus SUNY IITG grant for AI education development. His research group actively recruits students for projects involving cloud development (Azure/GCP/AWS), CI/CD, Docker/K8s, and software architecture. Prior to academia, Dr. Yu accumulated 10 years of professional experience in software development and system networking with certifications from Cisco, Microsoft, and Google.

• Pain Management
• Medical Cannabis Research
• Systematic Reviews and Meta-Analyses
• +۵ مورد دیگر

Li Wang is an Associate Professor in the Department of Anesthesia within the Faculty of Health Sciences at McMaster University. Her academic career spans over two decades with extensive publication history, demonstrating sustained research productivity through 2025. Her work primarily focuses on evidence-based approaches to pain management, systematic review methodology, and healthcare policy analysis. Dr. Wang's research interests encompass chronic pain management, medical cannabis applications, systematic review and meta-analysis methodology, and health services research. Her work demonstrates particular expertise in translating evidence into clinical practice, with numerous publications related to guideline development and healthcare decision-making. She has made significant contributions to understanding pain management alternatives to opioids, postsurgical pain prevention, and the epidemiology of chronic pain conditions. Analysis of her recent publications reveals a strong trend toward interdisciplinary research that bridges anesthesia, pain medicine, and healthcare policy. Her work increasingly incorporates methodological innovations in systematic review techniques while maintaining a strong clinical focus on pain management solutions. The breadth of her research spans from molecular mechanisms of pain to population-level health policy implications, with consistent emphasis on evidence-based approaches. Dr. Wang teaches Fundamentals of Health Research Methodology (HTH 501) at McMaster University, a course she has instructed continuously since 2020. Her teaching focuses on research methodology, systematic review techniques, and evidence-based healthcare decision-making. Her scholarly activity demonstrates integration of teaching and research, with numerous publications related to methodological education and evidence-based practice. She maintains an active research program with extensive collaborations across multiple institutions and disciplines. Her work shows particular strength in systematic review methodology applied to clinical questions in pain management and anesthesia. Dr. Wang's research has been widely cited and disseminated through numerous news outlets, policy documents, and clinical guidelines, indicating significant impact on both academic and practical healthcare domains.