جست‌وجوی استاد و پژوهشگر

• Jewish Studies
• Social Psychology
• Demography
• +۷ مورد دیگر

Leonard Saxe serves as the Klutznick Professor of Contemporary Jewish Studies at Brandeis University’s Heller School for Social Policy and Management, where he directs the Cohen Center for Modern Jewish Studies. His work focuses on socio-demographic analysis of American Jewish life, with emphasis on identity formation, educational interventions, and community dynamics. His educational background includes a Ph.D., M.S., and B.S. in Psychology from the University of Pittsburgh. Saxe’s research spans Jewish Studies, Social Psychology, and Demography, examining how programs like Birthright Israel shape Jewish identity and how antisemitism manifests in contemporary society. He employs rigorous survey methodology and data synthesis techniques to address methodological challenges in studying religious populations. Recent publications (2024-2025) reveal a strong focus on campus antisemitism, political polarization within Jewish communities, and longitudinal impacts of Jewish educational programs. These works demonstrate methodological innovation in community studies while addressing urgent social issues facing American Jews. His significant honors include: Congressional Science Fellow (Office of Technology Assessment, 1980-1981) Fulbright Senior Lecturer (U.S.-Israel Educational Foundation, 1981-1982) APA Early Career Award for Distinguished Contributions to Psychology in the Public Interest (1989) Heller Mentor Award (2005) Marshall Sklare Award (2012) Saxe has mentored numerous researchers through the Cohen Center and secured substantial grant funding for community studies across 20+ U.S. regions. His work directly informs communal planning and policy decisions through data-driven insights about Jewish population dynamics. As director of the Cohen Center for Modern Jewish Studies, he leads a multidisciplinary team conducting demographic surveys, program evaluations, and methodological research that shapes understanding of contemporary Jewish life in North America.

Kari Lancasterمشاهده پروفایل

استاد

• Science and Technology Studies
• Health Sociology
• Policy Studies
• +۷ مورد دیگر

Kari Lancaster is a Professor in Social Studies of Science and Health within the Department of Social and Policy Sciences at the University of Bath . She is also an Editor of Science, Technology & Human Values and holds an Honorary Burnet Institute Senior Principal Fellow position at the Burnet Institute. Her work bridges Science and Technology Studies (STS) , health sociology , and policy studies to examine evidence-making practices and intervention translations in health. Research Interests: She specializes in Theory-informed and theory-innovating empirical social science research Critical analysis of drugs and addiction and infectious diseases (hepatitis C, HIV, and COVID-19) Interdisciplinarity through collaboration between critical social scientists and policy/practice implementers Global health policy under transformative changes, focusing on outbreak response and viral elimination Scientific Awards: Honorary Burnet Institute Senior Principal Fellow (2024) Education: Holds a Doctor of Philosophy (PhD) from the University of New South Wales.

Danny Poo Chiang Choonمشاهده پروفایل

دانشیار

• Healthcare Informatics
• Data Science
• Business Analytics
• +۶ مورد دیگر

Danny Poo Chiang Choon is a tenured Associate Professor at the School of Computing (SOC), National University of Singapore (NUS). As Curriculum Chair of the Department of Information Systems and Analytics, he plays a key role in designing and implementing Information Systems and Computer Science curriculum at NUS. Dr. Poo earned his BSc (Honours), MSc and PhD in Computation from the University of Manchester Institute of Science and Technology (UMIST), United Kingdom. His academic journey has established him as a leader in health informatics and information systems at NUS. His research spans multiple domains with strong focus on Healthcare Informatics , where he investigates mobile health interventions, health analytics, and systems for improving patient care. His work in Data Science & Business Analytics explores knowledge management, information sharing, and effective search strategies. In Intelligent Systems , he examines software engineering approaches, object-oriented systems, and knowledge classification frameworks. His recent publications demonstrate a clear trajectory toward mobile health applications, particularly in coronary heart disease prevention and diabetes management. Dr. Poo's work consistently bridges technical computing with practical healthcare applications, focusing on user-centered design and evidence-based interventions. His research shows strong interdisciplinary integration between computer science, healthcare systems, and behavioral science, with emphasis on practical implementation in Singapore's healthcare context. Dr. Poo has served in numerous leadership roles including as the founding Director of the Centre for Health Informatics at NUS (2012-2015) and as a member of the Steering Committee of the Asia Pacific Software Engineering Conference (APSEC) since 1994, serving as Vice-Chairman from 2003-2005. He has been invited to speak at international forums including the Japanese Government's "USA, Kyushu and Asia International Exchange Project" and as a keynote speaker at the 2009 Arabic Scripts Second Symposium in Abu Dhabi. His expertise is recognized through invitations to speak on knowledge management topics at conferences in Singapore. Dr. Poo has authored five books in the Information Technology area: "Enterprise JavaBeans for Students" (2014), "Object-Oriented Programming and Java" (1998, 2007), "Learn to Program Enterprise JavaBeans 3.0" (2009), "Learn to Program Java" (2009), and "Learn to Program Java User Interface".

• Bayesian Statistics
• Machine Learning
• Statistical Modeling
• +۳ مورد دیگر

Paul-Christian Burkner is a researcher in the Department of Computer Science at Aalto University. His work focuses on Bayesian statistical methods, computational modeling, and probabilistic programming. He collaborates with Professor Aki Vehtari's research group and has published extensively on topics like model sensitivity, spatiotemporal analysis, and variable selection techniques. His research interests include: Bayesian inference and model comparison Computational statistics Probabilistic programming Machine learning algorithms Statistical modeling in social sciences Neuroimaging data analysis Recent publications demonstrate expertise in simulation-based calibration, spatiotemporal modeling, and Gaussian process approximations. Collaborations span psychology, neuroscience, and machine learning domains. Contact: ext-paul-christian.burkner@aalto.fi

Francis Y. Yanمشاهده پروفایل

استادیار

• Networked systems
• Cloud infrastructure & resource management
• Machine learning for systems and networks
• +۳ مورد دیگر

Francis Y. Yan is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC), holding an affiliate appointment in Electrical & Computer Engineering within the Grainger College of Engineering. He leads the Illinois Networked Systems and AI (NSAI) research group, focusing on building intelligent networked systems that are safe, robust, and performance-optimized through practical machine learning integration. Prior to joining UIUC in January 2025, he served as a Senior Researcher at Microsoft Research Redmond under Victor Bahl. His educational background includes: Ph.D. in Computer Science from Stanford University (2020), advised by Keith Winstein and Philip Levis B.S. in Computer Science (Yao Class) and B.A. in Economics from Tsinghua University (2015) Additional undergraduate studies at MIT Yan's research adopts a holistic approach to practical machine learning for networked systems, emphasizing judicious application rather than indiscriminate use. He builds real-world systems and research platforms to lay ML foundations, devises deployable algorithms using domain insights, and validates performance through extensive empirical evidence. His work consistently addresses operator concerns regarding ML deployment—focusing on safety, robustness, generalization, and efficiency—while strategically combining ML with classical networking and systems techniques. Analysis of his 15 most recent publications (2023-2025) reveals dominant themes in resource allocation for microservices (DeDe, Autothrottle), real-time video optimization (Mowgli, GRACE), and LLM-driven network algorithm design. His work bridges theoretical advances with industrial deployment, evidenced by platforms like Puffer (400,000+ users) and OpenNetLab that have become community standards for validating congestion control algorithms. His research has been recognized with top honors: USENIX NSDI Outstanding Paper Award (2024) for Autothrottle APNet Best Paper Award (2022) IRTF Applied Networking Research Prize (2021) USENIX NSDI Community Award (2020) USENIX ATC Best Paper Award (2018) for Pantheon Yan actively recruits master's and undergraduate researchers for his NSAI group, prioritizing self-motivated students for projects in networked systems and AI. His research is supported by industry collaborations (notably Microsoft) and manifests in deployable platforms like Puffer—which has enabled award-winning research at NSDI and SIGCOMM—and OpenNetLab for real-time communications. His work directly impacts production systems including Microsoft Teams and Bing. He founded and directs the Illinois Networked Systems and AI (NSAI) research group, which operates critical infrastructure including Puffer (a live TV service and research platform) and OpenNetLab. These platforms facilitate community-wide validation of novel algorithms, with Puffer alone supporting multiple best-paper awards at top conferences. Current workstreams span cloud resource management (Teal, Autothrottle, DeDe), low-latency video (Puffer, Tambur, Mowgli), and LLM-augmented systems (Nada, Designing Network Algorithms via LLMs).

• Respiratory Physiotherapy
• Pulmonary Rehabilitation
• COPD
• +۷ مورد دیگر

Anne Holland is Professor of Physiotherapy and Head of Respiratory Research at Monash University and Alfred Health in Melbourne, Australia. She is an NHMRC Leadership Fellow (2021–2025) and a Chief Investigator for the NHMRC Centre of Research Excellence in Pulmonary Fibrosis and the NHMRC Centre of Research Excellence in Treatable Traits. Her research focuses on supportive therapies for chronic respiratory diseases, particularly COPD and pulmonary fibrosis, with a strong emphasis on pulmonary rehabilitation, telerehabilitation, and ambulatory oxygen therapy. Her research interests include: Respiratory physiotherapy Pulmonary rehabilitation (home-based and low-cost models) Access to care for chronic lung disease Telerehabilitation and digital health Symptom management in interstitial lung disease Exercise training and physical activity promotion Her recent publications focus on symptom management, digital self-management tools, treatable traits models, and clinical trials in pulmonary fibrosis and COPD. The body of work reflects a strong trend toward patient-centered, accessible, and evidence-based interventions that improve quality of life and clinical outcomes in chronic respiratory conditions. Her major scientific awards include: Society Medal, Thoracic Society of Australia and New Zealand (2021) European Respiratory Society Gold Medal for Allied Health Professionals (2022) NHMRC Investigator Fellow (Leadership 1) (2021) Fellow, Thoracic Society of Australia and New Zealand (2019) American Thoracic Society Pulmonary Rehabilitation Assembly Award (2016) Anne Holland supervises PhD students and is actively involved in advising and grant leadership. She is the Primary Chief Investigator on major trials such as the PERFORM trial and the TAPPET trial, and she leads a multinational ambulatory oxygen trial for fibrotic lung disease. Her work is supported by NHMRC and international collaborations. She is also President of the Thoracic Society of Australia and New Zealand, reflecting her leadership in the field. Anne leads the Holland Respiratory Care Research Group at Monash, which focuses on innovative models of care delivery, validation of remote monitoring tools, and improving patient self-management in chronic lung disease. The team collaborates widely across Australia and internationally, particularly in trials involving pulmonary rehabilitation and treatable traits.

Dorte Hammershøiمشاهده پروفایل

استاد

• Acoustics
• Hearing Science
• Audio Engineering
• +۵ مورد دیگر

Dorte Hammershøi is a Professor in the Department of Electronic Systems at The Technical Faculty of IT and Design, Aalborg University, Denmark. Her research focuses on acoustics, sound engineering, and hearing science with significant contributions to human hearing, ear canal acoustics, and audio technology applications. Her research interests include: Temporary Threshold Shift and frequency resolution in human hearing Ear canal acoustics and sound pressure level measurement Distortion Product Otoacoustic Emission (DPOAE) analysis Impulse response and acoustic impedance studies Hearing aid technology and rehabilitation methodologies Virtual reality audio interfaces and accessibility applications Professor Hammershøi's recent publications demonstrate a strong clinical-engineering interdisciplinary approach, bridging theoretical acoustics with practical hearing rehabilitation applications. Her work on hearing aid fitting methodologies, occupational noise exposure effects, and virtual reality audio interfaces shows consistent innovation in translating engineering principles to clinical practice. The research shows particular attention to individualized hearing solutions and accessibility technologies. Her scientific contributions have been recognized with: Dansk Lydpris 2020 (awarded November 17, 2021) Ambassadør for Aalborg (awarded September 15, 2004) Professor Hammershøi has supervised 5 PhD students and led numerous research projects including the ongoing "Audio Only VR for Blind Gamers" project (2024-2028) funded by the Independent Research Foundation of Denmark, and the completed "BEAR: Better Hearing Rehabilitation" project (2016-2022). Her research has attracted significant media attention with 110 press/media appearances discussing hearing damage prevention, tinnitus, and public health implications of noise exposure. She maintains active professional engagement through committee memberships (46 documented activities), international collaborations, and contributions to clinical practice guidelines. Her work continues to influence both academic research and practical applications in hearing science and audio engineering.

Sean Reardonمشاهده پروفایل

استاد

• Social Inequality
• Educational Inequality
• School Segregation
• +۶ مورد دیگر

Sean Reardon is the endowed Professor of Poverty and Inequality in Education at Stanford University's Graduate School of Education and Professor (by courtesy) of Sociology. He serves as Director of the Stanford Interdisciplinary Doctoral Training Program in Quantitative Education Policy Analysis and is a Senior Fellow at the Stanford Institute for Economic Policy Research. Reardon is also a member of the National Academy of Education and the American Academy of Arts and Sciences. His educational background includes an Ed.D. in Educational Administration, Planning, and Social Policy from Harvard Graduate School of Education (1997), M.Ed. from Harvard Graduate School of Education (1992), M.A. in International Peace Studies from University of Notre Dame (1991), and B.A. in Program of Liberal Studies with a minor in Honors Mathematics from University of Notre Dame (1986). Reardon's research investigates the causes, patterns, trends, and consequences of social and educational inequality, with particular focus on residential and school segregation and racial/ethnic and socioeconomic disparities in academic achievement. He develops methods for measuring social and educational inequality, including segregation and achievement gaps, and advances causal inference methods in educational research. His work has significantly shaped understanding of how poverty and school segregation impact educational outcomes across America. Analysis of Reardon's 15 most recent publications reveals a consistent focus on educational inequality, with particular emphasis on measuring achievement gaps, school segregation patterns, and the relationship between socioeconomic status and educational outcomes. His research increasingly utilizes large-scale administrative datasets, most notably the Stanford Education Data Archive (SEDA), which he developed based on 300 million standardized test scores to provide measures of educational opportunity across all U.S. public school districts. William T. Grant Foundation Scholar Award National Academy of Education Postdoctoral Fellowship Andrew Carnegie Fellow Member of the National Academy of Education Member of the American Academy of Arts and Sciences Reardon directs the Stanford Interdisciplinary Doctoral Training Program in Quantitative Education Policy Analysis, mentoring the next generation of education researchers. His work has been supported by major research grants that have enabled the development of the Stanford Education Data Archive, a groundbreaking resource that provides detailed metrics on educational opportunity across all U.S. public school districts. This archive has become a critical tool for policymakers and researchers seeking to understand and address educational inequality. As developer of the Stanford Education Data Archive, Reardon leads a significant research initiative that has transformed how educational opportunity is measured and understood across the United States. His work has established new methodologies for analyzing large-scale educational data and has provided policymakers with concrete evidence about the relationship between poverty, school segregation, and academic achievement.

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).

• Hydrogeology
• Groundwater hydraulics
• Seepage flow
• +۳ مورد دیگر

Dr. FARKAS Dávid is an Assistant Professor in the Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). His office is located in Building K, basement level, room 12/7, and he holds weekly consultation hours on Mondays from 1–3 pm. Educational contributions include teaching core courses in hydrogeology and groundwater engineering: Groundwater (BMEEOVVMV63) Hydrogeology (BMEEOGMMG62) Infrastructural Design Project (BMEEODHAI41) Research activities concentrate on quantitative hydrogeology, with a special emphasis on karstic groundwater systems, seepage hydraulics, and the safety of flood-protection levees. He couples field investigations in iconic Hungarian cave systems (Buda Castle Cave, Molnár János Cave) with laboratory sandbox experiments and numerical modelling to advance understanding of flow and transport processes in fractured carbonates. Over the past decade his work has evolved from fundamental hydrogeological mapping toward the design and deployment of automated monitoring networks that integrate classical hydrological instruments with modern sensor technologies. This progression is evident in his most recent publications (2024-2025) that document the establishment of high-resolution cave monitoring systems capable of capturing rapid responses to precipitation events. Scientific awards currently listed: none. Advising and grants: no specific student names, grant numbers, or funded project titles are provided in the supplied text. Laboratories and teams: while no dedicated laboratory name is stated, his affiliation with the Department of Hydraulic and Water Resources Engineering implies access to the faculty’s hydraulics and hydro-environmental laboratories, including sandbox and seepage modelling facilities.

Amy Vaughan Van Heckeمشاهده پروفایل

استاد

• Developmental Psychology
• Neuroscience
• Autism Spectrum Disorder
• +۵ مورد دیگر

Amy Vaughan Van Hecke serves as Assistant Chair and Professor in Marquette University's Department of Psychology, leading research on autism spectrum disorder (ASD) and social development across the lifespan using neuroimaging and psychophysiological methods. She directs community initiatives to improve autism services access for underserved Milwaukee populations through the Next Step Clinic. Her academic foundation includes: B.A. in Psychology from Smith College Ph.D. in Developmental Psychology from the University of Miami Dr. Van Hecke's research centers on brain activity, heart rate regulation, and social behavior in individuals with and without ASD, utilizing high-density EEG and MRI to examine neural responses to interventions like PEERS ® . Current projects investigate pandemic impacts on social interaction in autistic adults and neural mechanisms of social isolation remediation. Her work bridges laboratory neuroscience with community-based clinical applications. Publication analysis reveals consistent focus on intervention efficacy (particularly PEERS ® ), neural plasticity measurement, and comorbid conditions across developmental stages. Recent work emphasizes gender-specific outcomes, family impacts, and pandemic-related mental health, demonstrating methodological diversity from EEG asymmetry to community-based participatory research. Her distinguished scientific recognition includes: Kirschstein National Research Service Award (NRSA) from the National Institute of Mental Health Dr. Van Hecke mentors students through her Marquette Autism Project lab and the Next Step Clinic training program while securing major grants from Marquette University, Johnson Controls Foundation, and the Greater Milwaukee Funders’ Collaborative. She teaches undergraduate/graduate courses in developmental psychology and statistics. Advising: Clinical psychology graduate mentorship (excluding 2025 intake); undergraduate research supervision Grants: $500k+ secured for Next Step Clinic serving underserved Milwaukee children She co-directs the Marquette Interdisciplinary Autism Initiative and the Next Step Clinic, which employs a Family Navigation model in Milwaukee's Metcalfe Park neighborhood to provide autism screening, diagnosis, and therapy for children aged 15 months-10 years facing systemic barriers to care.

• Sociology of Race and Ethnicity
• Demography
• Gender and Sexuality Studies
• +۴ مورد دیگر

Aliya Saperstein is a Professor of Sociology and the Benjamin Scott Crocker Professor in Human Biology at Stanford University. She holds a Ph.D. in Sociology and Demography from the University of California, Berkeley (2008) and a B.A. in Sociology from the University of Washington. Her research focuses on the social processes through which racial and gender categories are constructed, how these classifications create and sustain inequality, and how methodological choices in survey research affect findings on stratification and health disparities. Stanford University faculty since 2011 Visiting Scholar, Sciences Po and Russell Sage Foundation Expert committee member for National Academies of Sciences consensus studies on race/ethnicity (2024) and gender measurement (2022) Her work has been recognized with multiple awards including the Population Association of America Early Achievement Award (2016) , Oliver Cromwell Cox Best Article Award (2014) , and IPUMS Research Award (2013) . She leads the Lab for Social Research at Stanford, which trains undergraduate researchers and collaborates with interdisciplinary teams. Research trends in her publications reveal a progression from foundational work on racial fluidity (2012-2014) to contemporary analyses of genetic ancestry testing's sociological implications. Her recent projects examine how direct-to-consumer genetic testing affects racial self-identification patterns and challenges traditional survey methodologies, particularly in multiracial populations and gender categorization. Scientific contributions include: Transforming sex/gender questions in the 2018 General Social Survey Key findings on how genetic ancestry testing increases multiracial identification Experimental evidence showing ancestry question order affects racial reporting Theoretical advancements in racial formation theory

Rafael Pereraمشاهده پروفایل

استاد

• Medical Statistics
• Primary Care Health Sciences
• Monitoring of Long-Term Conditions
• +۶ مورد دیگر

Rafael Perera is a Professor of Medical Statistics at the Nuffield Department of Primary Care Health Sciences (NDPCHS), University of Oxford, where he has been since 2002. He holds leadership roles as Director of the Statistics Group and Director of Graduate Studies , overseeing academic leadership and methodological research. He is also a Statistical Editor of BMJ and BMJ Medicine , and a fellow at St Hugh’s College Oxford . Education : DPhil, MSc, MA Rafael’s research focuses on monitoring for managing long-term conditions (e.g., Type 2 diabetes, hypertension) and complex multimorbidity phenotypes . His work includes impact of extreme temperatures on health , meta-analysis methods , and methodology for infectious diseases . He leads large methodological groups and has been a PI on NIHR-funded infrastructure programs (BRC, ARC, MIC). Recent publications highlight his expertise in clinical prediction models , digital health interventions , and diagnostic test evaluation . His grants span applied research , global health transformation , and ageing research . Scientific Awards : National and international recognition for methodology development in clinical trials (NIHR Progress Report 2008/09) Rafael supervises DPhil and MSc students and leads a fully accredited Clinical Trials Unit . His editorial and policy influence extends to healthcare policy panels and the Centre for Evidence-Based Medicine as Director of Research Methodologies.

Steven Berryمشاهده پروفایل

استاد

• Industrial Organization
• Empirical Models of Product Differentiation
• Market Equilibrium Analysis
• +۴ مورد دیگر

Steven Berry is the David Swensen Professor of Economics at Yale University and the inaugural Faculty Director of the Tobin Center for Economic Policy at Yale. He specializes in empirical analysis of markets in equilibrium, with a focus on industrial organization, product differentiation, and dynamic market structures. He holds a PhD from the University of Wisconsin-Madison (1989) and a BA from Northwestern University (1980). His research explores competition policy, environmental economics, international trade, and labor market power. He has served as Economics Department Chair at Yale and Director of the Division of Social Sciences. Berry is a Research Associate at the National Bureau of Economic Research (NBER) and has advised governments on antitrust, environmental, and trade policies. He is an elected Fellow of the Econometric Society and a member of the American Academy of Arts and Sciences, having won the Frisch Medal in 2017. His work integrates micro and macro data to analyze markets like automobiles, airlines, and media, emphasizing structural econometric methods. Key Research Themes: Empirical industrial organization, demand estimation, dynamic policy analysis. Awards: Frisch Medal, Distinguished Fellow of the Industrial Organization Society. Consulting: Government and private-sector antitrust policy, environmental regulation.

Kiemeney Lambertusمشاهده پروفایل

استاد

• Cancer Epidemiology
• Genetic Epidemiology
• Urological Cancers
• +۳ مورد دیگر

Kiemeney Lambertus is a Professor of Cancer Epidemiology at the Department of Health Evidence, Radboud University Medical Center in Nijmegen, Netherlands. He serves as Chair of the Department of Health Evidence and Scientific Director of the Radboud Institute for Health Sciences. His academic career includes roles as Head of the Department of Cancer Registry and Research, and Director of Research at the Netherlands Comprehensive Cancer Organisation. Lambertus holds a Master's in Biomedical Sciences (cum laude) from Radboud University and a Bachelor's in Physiotherapy (cum laude). His research focuses on urological cancers, genetic and clinical epidemiology, and biobanking. Key areas include prostate and bladder cancer genetics, risk prediction models, and validation of biomarkers like PCA3. He has pioneered studies on FGFR3 and JAG1 genes in bladder cancer susceptibility, and demonstrated the safety of coal tar treatments in dermatology. His over 500 publications include foundational work in genome-wide association studies (GWAS), with a Nature Genetics paper on bladder cancer susceptibility genes cited over 200 times. Lambertus has received global recognition including the Dominique Chopin Distinguished Researcher Award and inclusion in Thomson Reuters' most influential scientists list. Teaching Excellence: Multiple lecturer-of-the-year awards highlight his educational contributions. Leadership: Oversee large research institutes and national cancer initiatives. Global Impact: Collaborates with institutions worldwide, including Johns Hopkins University and the European Institute of Oncology. Current research emphasizes translational studies linking genetic discoveries to clinical outcomes, with a focus on reducing overdiagnosis in prostate cancer screening.