Dr. J. Bradford Jensen is the McCrane/Shaker Chair of International Business at the McDonough School of Business, Georgetown University. He also serves as a nonresident senior fellow at the Peterson Institute for International Economics and a research associate at the National Bureau of Economic Research. His research focuses on international trade, globalization, and the economic impacts of services offshoring, utilizing plant-level microdata to analyze firm heterogeneity and trade disputes. Ph.D. in Economics, Stanford University B.A., Kalamazoo College Jensen's work has influenced high-level trade policy, including citations in the U.S. Trade Representative's TiSA negotiations and the Economic Report of the President . His research on services trade and firm dynamics has been supported by grants from the National Science Foundation, Alfred P. Sloan Foundation, and MacArthur Foundation. He has held academic roles at Carnegie Mellon University and Dartmouth College, as well as leadership positions at the U.S. Census Bureau and Peterson Institute.
Mark D. Hayward is a Professor of Sociology at the University of Texas at Austin, holding the Centennial Commission Professorship in the Liberal Arts #2. He is also a faculty research associate at the Population Research Center. With a Ph.D. from Indiana University Bloomington, Dr. Hayward has established himself as a leading scholar in population health, demography, and biodemography. Dr. Hayward has held numerous leadership positions in professional organizations, including serving as president of the Interdisciplinary Association of Population Health Science and the Southern Demographic Association. He has also chaired sections of the American Sociological Association and served on boards of the Population Association of America and the Society of Biodemography and Social Biology. His extensive service includes membership on the Committee on Population at the National Academy of Sciences and the Board of Scientific Counselors at the National Center for Health Statistics, as well as the National Advisory Committee for the Robert Wood Johnson Foundation's Health and Society Scholars Program. His research focuses on two primary questions: (1) How life course exposures from childhood into adulthood influence the health and mortality of older adults, examining the 'long arm of childhood' perspective that investigates how early life events potentially impact health decades later; and (2) How inequalities in adult health and mortality arise from educational experience, with particular emphasis on how education influences trends and disparities in dementia, disability, and mortality. His work has substantially expanded current knowledge about these relationships and has examined how US state policies shape educational inequalities and health outcomes. Dr. Hayward's scholarly output demonstrates significant trends in understanding the social determinants of health across the lifespan. His recent work has increasingly focused on dementia epidemiology, racial disparities in health outcomes, and the role of regional contexts (particularly the Southern US) in shaping health trajectories. His publications span high-impact journals including the American Journal of Public Health, Demography, JAMA, the Journals of Gerontology: Social Sciences, the Journal of Health and Social Behavior, and Social Science and Medicine. Throughout his career, Dr. Hayward has been actively involved in enhancing the measurement and collection of population health data, particularly longitudinal studies. He has served on advisory boards for numerous national health studies and provided scientific guidance to universities, NIH, private foundations, and federal agencies. His research has been consistently funded by the National Institute on Aging and the Eunice Kennedy Shriver National Institute on Child Health and Human Development. Dr. Hayward teaches courses including H S 378 • Seminar In Health & Society and SOC 389K • Human Mortality, reflecting his expertise in population health, mortality patterns, and the social determinants of health across the life course.
Dr. Yasmiyn Irizarry serves as Associate Professor in the Department of African and African Diaspora Studies at The University of Texas at Austin (College of Liberal Arts) and as Associate Director of the Institute for Urban Policy Research & Analysis. She founded the Numbers 4 Justice Lab to advance racial equity through quantitative methods. Education Bachelor's degree from The Ohio State University Master's and Doctorate in Sociology from Indiana University Research Focus As a leading QuantCrit (critical quantitative methods) scholar, Dr. Irizarry examines race and racism across four interconnected domains: K-16 schooling contexts; categorization, identity, and ascription; social attitudes, prejudice, and discrimination; and justice, marginalization, and social control. Her work employs an intersectional framework analyzing race, ethnicity, immigration, class, and place within systems of power, with particular emphasis on Black women's experiences and census data methodologies. Publication Trends Her recent publications (2021-2025) demonstrate consistent focus on police violence against Black women, critical quantitative methodologies in education, and reexamination of racial categories in US Census data. Key themes include mental health impacts of racial profiling, race-shifting in demographic data, and racialized dynamics in STEM education and school safety, reflecting her commitment to transforming quantitative research through critical race perspectives. Research Funding National Science Foundation (current projects on school safety, STEM education, and population policies) Robert Wood Johnson Foundation (revising OMB race/ethnicity standards) Bill and Melinda Gates Foundation (past) Ford Foundation (past) American Educational Research Association (past) Academic Leadership Dr. Irizarry directs the Numbers 4 Justice Lab, which develops and applies quantitative tools to address racial inequities. She teaches graduate courses including Theories of Race/Ethnicity and Sociology of Education across multiple departments (AFR, SOC, WGS), emphasizing critical approaches to quantitative research in racial justice contexts.
Dr. Xiongcai Cai is an Adjunct Associate Professor at the School of Computer Science and Engineering, University of New South Wales (UNSW). With expertise in Artificial Intelligence , Machine Learning , and Computer Vision , he contributes to advancing Recommender Systems , Natural Language Processing , and Health Informatics . His work bridges theoretical and applied research in technology for human-centric applications. Current roles: Adjunct Associate Professor, UNSW School of Computer Science and Engineering Key research areas: Machine Learning, Recommender Systems, Computer Vision, Generative AI Dr. Cai's research portfolio demonstrates a consistent focus on recommender systems and machine learning over the past decade. His technical contributions span graph convolutional networks , temporal bilinear models , and embedding techniques for collaborative filtering. Recent work in 2025 addresses knowledge distillation for GCNs-based recommenders, while earlier studies tackled cold-start transitions and matrix factorisation boosting. His publication history (2 book chapters, 7 journal articles, and 36 conference papers) reveals a strong emphasis on real-time applications in domains like gait recognition (2020), health data analytics (2016), and social network recommendation (2010-2015). The research applies mathematical rigor to practical challenges in online dating platforms , medical decision support , and object tracking systems . Contact details: Email: x.cai@unsw.edu.au Phone: +61 2 9385 8858
Riccardo Rosati is a Full Professor at the Department of Computer, Control, and Management Engineering, Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science and Statistics. He obtained his PhD in Computer Science from Sapienza University of Rome in 1997. His research focuses on Knowledge Representation, Description Logics, Semantic Web, Ontologies, Information Integration, Databases, and Artificial Intelligence. Specifically, he has made significant contributions to the integration of description logics and logic programming, and is one of the creators of the DL-Lite family of description logics, which became a standard in the Semantic Web (OWL 2 QL). His recent publications center around controlled query evaluation, ontology-based data access, and applying knowledge representation in healthcare informatics. The trend shows strong emphasis on both theoretical foundations and practical applications. Scientific awards and recognitions include: Distinguished Paper Award at IJCAI 2024 AAAI 2021 Classic Paper Award He has advised numerous students and been involved in research projects including OPTIQUE (Scalable End-user Access to Big Data), ACSI (Artifact-Centric Service Interoperation), TONES (Thinking Ontologies), INFOMIX (boosting information integration), QuOnto (Querying Ontologies), and HYPER (How Your Peers Exchange Resources). He leads the Artificial Intelligence and Knowledge Representation research group and collaborates with the Data Management and Service-Oriented Computing group at DIAG.
Dr. Curtis Huttenhower is a Professor of Computational Biology and Bioinformatics at Harvard T.H. Chan School of Public Health , with dual appointments in the Department of Biostatistics and Department of Immunology and Infectious Diseases . His research focuses on computational methods for microbial community analysis, human microbiome public health implications, and machine learning applications in genomics. Education: B.S. (2000) from Rose-Hulman Institute of Tech, M.S. (2003) from Carnegie Mellon, Ph.D. (2008) from Princeton Major grants: NIH R21CA299494 (cancer virome), U24HL175772 (HVP consortium), OT2CA297578 (early-onset colorectal cancer prevention) His work spans functional metagenomics , microbiome diagnostics , and structured biological knowledge in machine learning . Recent studies include strain-level microbiome mapping and microbiome links to depression, diabetes, and cardiovascular disease . He contributes to open-source tools like MaAsLin and WAAFLE , and leads the Human Microbiome Project sub-cohort for inflammatory bowel disease microbiome characterization.
Eiichiro Tanaka is a Professor at Waseda University's Faculty of Science and Engineering , specializing in Medical Assistive Technology , Robotics , and Design Engineering . His research focuses on developing wearable robotic systems for gait training, neuro-rehabilitation, and elderly mobility assistance. Key Research Areas : 1. Human-Robot Interaction for emotion-adaptive assistive devices. 2. Biomechanical Modeling of lower-limb assistance. 3. Ontological Frameworks for academic emotion analysis. 4. Non-Powered Exosuits for muscle fatigue reduction. His work integrates deep neural networks and physiological signal processing to create emotion-aware walking aids. Recent studies (2022-2020) demonstrate 24% fatigue delay and 16% walking distance improvement using RE-Gait® devices. Earlier projects include guide-dog robots and self-contained gear diagnostics . All publications employ 3D motion analysis , Wearable Sensors , and torque control algorithms .
Ben Jann is a Professor and current Department Head at the University of Bern in the Department of Social Sciences . His methodological expertise spans statistical software development, decomposition analysis, and data visualization. Role: Department Head Institution: University of Bern Department: Department of Social Sciences Research Interests : Jann specializes in creating Stata modules for advanced statistical analysis, including geospatial mapping (geoplot), robust regression (robreg10), and inequality decomposition (oaxaca-blinder methods). His substantive work examines social inequality through economic and sociological lenses, analyzing how living costs and taxation systems impact income distribution in Switzerland. He also investigates educational transitions and gender disparities in STEM occupational choices through longitudinal studies like TREE2. Recent Publications Trends : Jann’s 15 most recent articles (2025-2023) demonstrate his focus on statistical software development for social science applications. Key contributions include methods for marginal odds ratios (2023), two-level model variance decomposition (2025), and list experiment analysis (2025). His empirical work connects statistical methodology to pressing social issues like gender wage gaps (2021) and teacher content knowledge in developing countries (2021).
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.
Muhammet Bayraktar serves as a Lecturer in the Department of Internal Medical Sciences and Department of Public Health at the Faculty of Medicine, Niğde Ömer Halisdemir University, where he has been employed since 2020 and previously served as Head of Department from 2020-2021. His academic credentials include: Doctorate in Public Health from Erciyes University (2013-2019), thesis: "Evaluation of the accuracy of information in death certificates in Niğde province" Licence in Medicine from Kahramanmaraş Sütçü İmam University (1999-2008) Dr. Bayraktar's research program demonstrates exceptional breadth across public health disciplines, with particular emphasis on geriatric care interventions, child protection systems, and pandemic response strategies. His innovative work on acupressure therapy for elderly patients represents a significant contribution to non-pharmacological approaches in geriatric medicine. His research consistently addresses practical public health challenges in the Turkish healthcare context through rigorous scientific methodology. Analysis of his publication record reveals a strategic evolution toward interdisciplinary research connecting clinical medicine with social determinants of health. Since 2020, his work has increasingly focused on pandemic-related challenges while maintaining his foundational research in hematology and child protection. His publications span high-impact journals across multiple specialties, demonstrating academic versatility and relevance to contemporary health challenges. Dr. Bayraktar has secured significant research funding including: "The Effect of Acupressure Applied to the Elderly on Constipation Symptoms and Quality of Life" (2021-2022), supported by Higher Education Institutions "Evaluation of the Effects of Acupressure on Neuropathic Symptoms, Balance Confidence, Fear of Falling, and Quality of Life in Elderly Individuals with Painful Diabetic Peripheral Neuropathy" (2025-), a TÜBİTAK 3501 project He has successfully supervised doctoral candidates including Tuğba Aydemir (research on acupressure for elderly constipation) and Rifat Güveli (research on nomophobia and mental health in adults), demonstrating commitment to the next generation of public health researchers.
Tao Ran is an Associate Professor of Economics at NEOMA Business School in France. She specializes in applied microeconomics with research focusing on corporate social responsibility, public goods provision, charitable giving mechanisms, and gender dynamics in corporate governance. Her work employs both theoretical modeling and empirical analysis to examine how organizational and social factors influence economic decisions. Ran's research has been published in leading journals including the Journal of Business Ethics, International Business Review, and Corporate Governance: An International Review. Her current projects investigate the diffusion of CSR practices through director networks and the value implications of foreign experience among corporate board members. She teaches microeconomics courses at both undergraduate and graduate levels, covering topics such as consumer behavior, market structures, and strategic decision-making in business contexts. Her teaching integrates contemporary research findings with practical business applications.
Toni Milun serves as a lecturer in mathematics and statistics at Algebra University of Applied Sciences, where he bridges theoretical concepts with practical business applications. His academic foundation includes a 1999 degree from the Faculty of Science and Mathematics at the University of Zagreb and a 2012 postgraduate specialist degree in Statistical Methods for Economic Analysis and Forecasting from the Faculty of Economics in Zagreb. He is currently completing his doctoral research in Economics at the Faculty of Economics in Rijeka. His research spans Mathematics Education, Financial Mathematics, and Business Statistics, with a distinctive focus on making complex quantitative concepts accessible through innovative pedagogical approaches. Milun's work consistently connects mathematical theory to real-world economic scenarios, particularly in SME financing, investment analysis, and statistical literacy for decision-makers. His publications reveal a strong emphasis on practical applications in Croatian business contexts and educational settings. Analysis of his 15 most recent publications shows dominant themes in financial mathematics (35%), business statistics (30%), and adult education (25%), with recurring subfields including percentage calculations in commerce, regression modeling of socioeconomic factors, and maritime/IT-specific mathematical applications. His research demonstrates consistent engagement with Croatian economic data and educational challenges. His notable recognition includes: Pride of Croatia award for special contribution to education Milun actively disseminates knowledge through public-facing initiatives rather than formal academic advising. He has co-authored a high school mathematics textbook and provides consulting services in applied mathematics and statistics, focusing on business problem-solving. His educational outreach generates significant impact through digital platforms and traditional media. He leads the www.tonimilun.com educational portal and television productions ('Školski sat' and 'Financijalac'), directing teams of educators, video producers, and subject-matter experts to create accessible mathematical and financial literacy content for diverse audiences across Croatia.
Dr. Fousiya A A is an Assistant Professor at the School of Earth, Environmental and Sustainability Sciences, Indian Institute of Science Education and Research Thiruvananthapuram, since November 2024. A certified diver and the first woman from Lakshadweep to earn a PhD and complete postdoctoral research in Marine Geosciences, she specializes in paleoclimate reconstruction through geochemical and isotopic analyses of marine carbonate records. Education: PhD in Marine Geosciences from Anna University, Chennai Experience: Postdoctoral Fellow at IIT Kanpur (2022–2024), Project Scientist at NCSCM (2019), Research Associate at IIT Kanpur (2021–2022) Her research focuses on climate change impacts on marine ecosystems , using stable isotope tracers to study ocean-atmosphere teleconnection processes, extreme weather events, and anthropogenic influences on coastal environments. Her work bridges scientific knowledge with policy-making for vulnerable coastal regions. Selected publications highlight her expertise in coral and bivalve isotopic records , precipitation isotope analysis , and coastal environmental risk assessment , with studies tracing thermal stress events, El Niño impacts, and monsoon variability through marine proxies. Scientific Awards: Goldschmidt 2025 Conference Grant Scientist of the Year 2024 (Environmental Sciences) Goldschmidt 2023 Conference Grant Institute Postdoctoral Fellowship (2022) Best Paper Presentation Award (RTCCS-18, 2018) Rajiv Gandhi National Fellowship (2013–2017) She actively seeks PhD candidates with CSIR-NET/JRF or GATE fellowships to join her research group focusing on paleoclimate studies, geochemistry, and environmental sustainability.
Obdulia María Torres González is a Full Professor in the Department of Philosophy, Logic and Aesthetics at the Faculty of Philosophy, University of Salamanca. She serves in the University Institute for Science and Technology Studies and leads the Research Group on Studies on Science and Technology. Her academic career spans over two decades with significant contributions to gender studies in philosophy and science communication. Her research focuses on gender inequality in academic professions , particularly in philosophy, where she has documented a severe gender imbalance (25% female faculty, 12% female full professors). She examines horizontal and vertical segregation patterns, challenges the STEM-focused narrative of gender studies, and analyzes how gender biases manifest in student evaluations of professors. Her work extends to science and technology studies , where she applies Ronald Giere's constructive realism to social sciences and engineering epistemology, and to risk communication regarding vaccine resistance and public controversies. Her publication trends reveal three interconnected research strands: (1) rigorous statistical analyses of gender disparities across academic disciplines, (2) philosophical examinations of scientific methodology in economics and medicine, and (3) investigations into public understanding of science and technology. She has secured research funding including the FFI2015-64529-P project "The boundary between science and politics and science at the boundary: Spanish science, 1907-1975" (MINECO/FEDER). Her educational background includes a PhD from the University of La Laguna (2002) with the thesis "The problem of social choice rules in the theory of collective action: redistribution, justice and well-being," supervised by Dr. Amparo Gómez Rodríguez. She has developed innovative teaching initiatives including the international promotion of the Master's in Logic and Philosophy of Science and high school recruitment programs for philosophy studies.
Steven Zhou is an Assistant Professor of Psychological Science at Claremont McKenna College, where he leads the STATS Lab (www.statslabatcmc.com). His academic work bridges quantitative methods with psychological research, focusing on leadership, personality, and vocational psychology. With methodological expertise in psychometrics, machine learning, and data visualization, he actively contributes to both academic and practitioner communities through research, teaching, and consulting. Dr. Zhou's educational background includes: PhD in Organizational Psychology + Certificate in Computational Social Sciences from George Mason University BA in Organizational Psychology + Certificate in Conflict Resolution from Pepperdine University His research program centers on developing and refining psychological assessments while investigating bias in measurement systems. Dr. Zhou specializes in forced-choice personality assessments, leadership evaluation methodologies, and career calling research. His work consistently addresses the gap between academic research and practical application in organizational settings, with recent projects incorporating large language models and agent-based simulations to study complex behavioral phenomena. Dr. Zhou's publication record shows a clear trajectory toward increasingly sophisticated methodological approaches to organizational psychology questions. His recent work demonstrates growing integration of computational techniques (machine learning, NLP) with traditional psychological research, while maintaining strong connections to practical organizational applications. The research consistently addresses measurement challenges in leadership assessment and career development. His notable scientific achievements include: 2025 Jablin Dissertation Award from the International Leadership Association and Jepson School of Leadership Studies 2025 Chapman Dissertation Award from the Network of Leadership Scholars and Academy of Management 2023 Dissertation Research Award from the American Psychological Association 2022 Free Inquiry Grant from the Foundation for Individual Rights and Expression 2022 Graen Grant for Student Research on Leaders and Teams from SIOP 2021 Kenneth E. Clark Student Research Award from ILA and Center for Creative Leadership 2021 Outstanding Graduate Student Instructor from GMU Department of Psychology Dr. Zhou actively mentors both graduate and undergraduate students, with numerous student co-authors across his publication record. He has secured nearly $40,000 in external research funding to support his work on leadership assessment and psychometric methodology. His professional service includes editorial roles for multiple journals and leadership positions within the Society for Industrial and Organizational Psychology. As director of the STATS Lab, Dr. Zhou leads a research team focused on applying quantitative methods to understand leadership, career development, and personality. The lab's five research pillars include Psychometrics & Measurement Science, Bias in Measurement & Analytics, Leadership Assessment & Team Dynamics, Integrating Novel Methods into Research, and Career Development & Vocational Psychology, all emphasizing both methodological rigor and practical application.
