Dr Joanna Anderson is a Senior Research Associate in the Department of Psychiatry at the University of Cambridge and a Chartered Psychologist specializing in clinical and neuropsychology. Since completing her PhD in 2004, she has integrated academic research with clinical practice focused on children and young people with special educational needs and disabilities. Her research centers on child and adolescent mental health through: School-based intervention development and evaluation Early identification systems for mental health difficulties Wellbeing program implementation in community settings Digital mental health technologies for personalized care She employs mixed-methods approaches to design complex interventions that improve access to mental healthcare and outcomes for young populations. Dr Anderson is affiliated with the Child and Adolescent Resilience and Mental Health (ChARM) research group and supervises PhD students, though no consultancy services are available. Her work bridges academic research with practical healthcare applications to address critical gaps in youth mental health support.
Robert Fletcher is a Researcher at the University of Cambridge, affiliated with the Department of Zoology and the C-CLEAR Doctoral Training Partnership . His work focuses on applied ecology and conservation science, utilizing landscape and population ecology to address biodiversity challenges globally. Research Areas : Conservation biology, population ecology, landscape ecology, environmental informatics Collaborations : Partners in North America, Europe, Africa, and Southeast Asia Key Themes : Species extinction prevention, landscape conservation prioritization, and rapid biodiversity data delivery Email : rf497@cam.ac.uk Fletcher's interdisciplinary approach integrates fieldwork (e.g., Everglades endangered species, African elephants) with advanced modeling of habitat loss, fragmentation, invasive species, and climate change impacts. His recent work emphasizes: Drivers of species decline and recovery strategies Landscape management and restoration techniques Interdisciplinary collaborations with engineers, social scientists, and computer scientists His publications span topics like savanna ecosystem dynamics, community science applications, and conservation forecasting, reflecting a commitment to actionable science for global biodiversity preservation.
M. Tamer Özsu is a University Professor of Computer Science at the David R. Cheriton School of Computer Science, University of Waterloo, where he holds a Cheriton Faculty Fellowship. He also serves as a Distinguished Visiting Professor at Tsinghua University and is the Founding Director of Waterloo-Huawei Joint Innovation Laboratory since 2018. His extensive contributions to computing have earned him numerous prestigious awards including the 2024 ACM Presidential Award for long-standing and significant contributions to the computing field. Professor Özsu's research focuses on data engineering aspects of data science, particularly addressing data management issues with two main foci: management of non-traditional data and large-scale distributed data management. He is renowned for his seminal book "Principles of Distributed Database Systems" (co-authored with Patrick Valduriez), now in its fourth edition, and the "Encyclopedia of Database Systems" (co-edited with Ling Liu), in its second edition. His work bridges theoretical foundations with practical system implementations, targeting grand societal challenges through computational approaches. His recent publications reveal a strong trend toward graph analytics, streaming data processing, and the integration of large language models with vector data management. The research shows increasing focus on GPU-accelerated graph processing, RDF query optimization, and multimodal data analysis, reflecting the evolution of data management challenges in the era of big data and AI. His work continues to address fundamental challenges in distributed data systems while adapting to emerging technologies and application domains. Scientific Awards and Fellowships ACM Presidential Award (2024) IEEE TCDE Education Award (2024) IEEE Innovation in Societal Infrastructure Award (2022) CS Can | Info Can Lifetime Achievement Award (2018/2019) ACM SIGMOD Test-of-Time Award (2015) ACM SIGMOD Contributions Award (2006) The Ohio State University College of Engineering Distinguished Alumnus Award (2008) Fellow of the Royal Society of Canada Fellow of the American Association for the Advancement of Science (AAAS) Life Fellow of the Association for Computing Machinery (ACM) Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) Elected member of the Science Academy, Türkiye Professor Özsu has been deeply involved in academic leadership and community building. As Founding Editor-in-Chief of ACM Books (2013-2019), he launched a series that by 2019 had published 28 major books with another 30 under contract. His service to ACM, particularly through SIGMOD, has been exemplary and widely recognized. He directs the Waterloo-Huawei Joint Innovation Laboratory, which focuses on cutting-edge research in data management and distributed systems, fostering strong industry-academia collaboration.
Olga Kokshagina serves as an Associate Professor in Innovation & Entrepreneurship at The University of Sydney, with adjunct research appointments at Monash University's Emerging Technology Lab and the UNU Hub - Learning Planet Institute. She is also an active member of the French Digital Council. Her research program investigates technology-mediated collaboration in complex innovation systems, focusing on healthcare transformation, deep tech commercialization, and co-design methodologies. Kokshagina has led high-impact projects with global institutions including the World Health Organization, OECD, STMicroelectronics, Vall d’Hebron Hospital, and Roche, demonstrating strong translational research capabilities. Her scholarly work centers on value-based healthcare innovation, digital platform governance, and AI-enhanced collaborative systems. She examines how organizational capabilities evolve during technological transitions, particularly in healthcare ecosystems, and investigates regulatory frameworks for algorithmic control in digital markets. Kokshagina's research bridges theoretical innovation management with practical applications, evidenced by her co-founding of Ninti—an initiative advancing women's health in workplace environments—and her Open Covid-19 crowdsourcing campaign that mobilized global expertise during the pandemic. Analysis of her 2021-2025 publications reveals a cohesive trajectory examining innovation in socio-technical systems. Key themes include value digitalization in healthcare, mission-oriented interdisciplinary collaboration, and the impact of big data on technology management. Her work consistently addresses grand challenges through mixed-methods approaches, spanning conceptual frameworks in journals like Research Policy to applied studies in Technovation and R&D Management, with increasing focus on quantum readiness and AI-augmented learning systems. No scientific awards are documented in the provided materials. Kokshagina currently holds a 2025 research grant for "Co-designing societal readiness and scenario building for quantum" through the University of Sydney Nano Institute/Catalyst program. While no student supervision activities are mentioned, her collaborative projects involve multi-institutional teams across industry, government, and academic sectors. Kokshagina maintains active roles within the University of Sydney Nano Institute and contributes to international policy discourse through the French Digital Council. Her Ninti initiative exemplifies her commitment to human-centered innovation, while ongoing collaborations with healthcare providers like Roche and Vall d’Hebron Hospital demonstrate sustained engagement with real-world implementation challenges in value-based care systems.
Professor Sara Dolnicar is an ARC Australian Laureate Fellow at the School of Business, Faculty of Business, Economics and Law, University of Queensland. With degrees in psychology and business administration from Wirtschaftsuniversität Wien, she specializes in market segmentation, sustainable tourism, social marketing, and environmental behavior. Born in Slovenia, raised in Austria, now based in Australia Over 300 refereed publications and 16 ARC grants Recipient of TTRA Distinguished Researcher Award (2017) and Slovenian Ambassador of Science (2016) Her research improves market segmentation methodology, addresses environmental sustainability in tourism, and develops behavioral interventions for eco-friendly tourist practices. She pioneered perceptions-based market segmentation and introduced bi-clustering techniques for improved data analysis. Recent publications focus on towel reuse interventions, buffet waste reduction, and smart sensor systems for hotel sustainability. She supervises PhD students in environmental behavior, tourism carbon emissions, and IoT applications for sustainability. Current grants include 'Mechanisms of Behaviour Change Theory' (2025-2028) and 'Reducing plate waste in hotels' (2021-2025). Key research areas: Sustainable tourism, market segmentation, social marketing Supervised over 15 PhD students in environmental behavior and disability employment Collaborates with industry partners like Energy Queensland and disability organizations
Elena Katok is a Professor of Supply Chain Management at the University of Texas at Dallas, Naveen Jindal School of Management. She serves as Co-Director of the Center and Laboratory for Behavioral Operations and Economics (LBOE) and holds editorial positions as Department Editor for Management Science (Operations Department) and Associate Editor for Manufacturing and Service Operations Management. Her research focuses on Behavioral Operations Management (BOM), Behavioral Market Design, and Auctions, with particular emphasis on using laboratory experiments to understand human behavior in operational contexts. Her work bridges the gap between traditional analytical operations models and actual human decision-making in supply chain and procurement settings. The analysis of her recent publications reveals a consistent research trajectory examining how psychological and behavioral factors influence operational decisions. Her work spans auction design, contract theory, trust mechanisms, and behavioral aspects of supply chain coordination. A notable pattern is her focus on the intersection of behavioral economics and traditional operations management problems, particularly how fairness concerns, risk perception, and trust impact procurement and supply chain decisions. Professor Katok has developed and implemented numerous classroom games to teach supply chain management concepts, demonstrating her commitment to translating research into practical pedagogy. She has created simulation tools through the SoPHIE platform to enhance experiential learning in operations management courses. Her teaching portfolio includes OPRE 6371: Purchasing, Sourcing and Contract Management for SCM MS and MBA students, OPRE 7309: Behavioral Operations Management at the PhD level, and OPRE/MECO 6355: Deal Making Strategies. She has also authored several case studies including eBay sniping, Winter Gear, Sears Logistics, Spectrum, and General Hospital to facilitate hands-on learning. As co-editor of The Handbook of Behavioral Operations published by Wiley, she has helped establish Behavioral Operations Management as a significant subfield that incorporates insights from psychology and behavioral economics to study how individuals make decisions in operational contexts.
Yan Ma serves as Professor and Chair of Biostatistics at the University of Pittsburgh, with additional appointments in Orthopaedic Surgery and Clinical and Translational Science. Previously, he was Professor and Vice Chair at George Washington University Milken Institute of Public Health (2014-2022) and Assistant Professor at Hospital for Special Surgery/Weill Cornell Medical College (2008-2014). His educational background includes: PhD in Statistics, University of Rochester (2008) MA in Statistics, University of Rochester (2004) MS in Mathematics, Syracuse University (2003) BS in Statistics, Beijing Normal University (2001) Ma's research centers on advanced statistical methodologies including missing data imputation, machine learning, meta-analysis, causal inference, and longitudinal methods, applied across orthopedics, anesthesiology, health disparities, and emergency medicine through team science and translational research frameworks. His publication trajectory demonstrates sustained innovation from methodological foundations (2008-2012) to contemporary applications in health disparities and machine learning (2016-2022), consistently addressing complex biomedical challenges through high-impact journals like JAMA and Health Services Research. His scientific recognition includes: ASA's Statistics in Epidemiology Young Investigator Award (2010) Interorganizational Team Science Award (2012) ORISE FDA Research Fellowship (2017) APHA Achievement in Academia Award Ma has secured R01 funding from NIH/AHRQ for missing data methods in health disparities research while serving as Associate Editor for ASA journals and reviewer for NIH/PCORI/VA panels, demonstrating leadership in statistical methodology development and interdisciplinary collaboration. His team-science approach bridges statistical innovation with clinical implementation across orthopedics and anesthesiology, driving evidence-based practice through methodological rigor and cross-disciplinary partnerships.
Prof. Sadettin Emre Alptekin is a full Professor of Industrial Engineering at Galatasaray University, Faculty of Engineering and Technology, where he also serves as Vice Dean. Since joining the university as a research assistant in 2000, he has steadily advanced through the academic ranks, becoming an Assistant Professor (2006–2010), Associate Professor (2010–2023), and finally Professor in 2023. Education: PhD (Dr), Industrial Engineering, Istanbul Technical University, Institute of Science and Technology, 2001–2006 MSc, Industrial Engineering, Galatasaray University, Faculty of Engineering and Technology, 1999–2001 BSc, Industrial Engineering, Istanbul Technical University, Faculty of Management, 1995–1999 Languages: Advanced English (C1), Upper-Intermediate French (B2), Advanced German (C1) Research Interests: Prof. Alptekin’s research focuses on Computer Learning , Fuzzy Sets and Systems , and Decision Support Systems . His work integrates artificial intelligence, machine learning, and soft-computing techniques to solve complex industrial and managerial problems in areas such as supply chain management, quality function deployment, blockchain adoption, and mental-health prediction. Publication Trends: Across more than 50 refereed publications, Prof. Alptekin has consistently explored hybrid intelligent models that combine fuzzy logic, machine learning, and multi-criteria decision-making. Recent articles emphasize deep-learning-based anomaly detection in industrial time-series data, blockchain adoption in supply chains, and machine-learning applications in subjective well-being and mental-health modeling. Scientific Awards & Honors: No specific awards or medals are listed in the provided documents. Research Leadership & Funding: Since 2008 he has been the principal investigator (executive) of 12 nationally funded projects, covering topics such as Industry 4.0 sub-system design, Internet of Things applications, artificial neural networks in organizational decision-making, big-data analytics, and strategic decision processes. Graduate Advising: He has formally supervised at least 8 master’s theses and numerous undergraduate projects. Representative thesis titles include Gaussian-process-regression-based man-hour prediction, machine-learning-driven human-behavior modeling, recommender-system design for e-commerce, thyroid-nodule diagnosis from scintigraphic images, software-effort estimation via neural networks, spreadsheet heuristics for joint-replenishment problems, cross-selling decision systems in insurance, and profitability analyses of Turkish banks under disinflation. Laboratories & Teams: While no dedicated laboratory name is disclosed, his continuous role as Vice Dean and principal investigator implies active leadership of the Industrial Engineering department’s research clusters in intelligent systems and decision support technologies.
Ying-Yi Chih is a Professor of Project Management at the Research School of Management, Australian National University (ANU) , and serves as the Associate Dean (Students and Industry Experience) for the College of Business and Economics. Her research focuses on project management, public-private partnerships (PPPs), value co-creation in projects, and employee well-being in project-based environments like the construction industry. She has published extensively in journals such as International Journal of Project Management and Journal of Construction Engineering and Management , with funding from government and industry sources. Education: PhD in Project Management Research Interests include: Infrastructure Project Planning and Management Public-Private Partnerships (PPPs) Value Co-Creation in Professional Services Employee Psychological Well-being and Performance Management Recent Publications highlight trends in green innovation, crisis resilience, leadership dynamics, and technology adoption in construction and project management. Her work bridges theoretical frameworks with practical applications in the AEC (Architecture, Engineering, Construction) industry and public sector projects. Editorial Roles: Associate Editor for Journal of Management in Engineering and Editorial Board member for Journal of Vocational Behavior . Research Projects have explored value co-creation, international development projects, and performance management in multi-project environments, with collaborations across Australia, Taiwan, Vietnam, and the Philippines.
Viktoriia Kiptenko is an Associate Professor at the Chair of Regional Studies and Tourism within the Geography Faculty of Taras Shevchenko National University of Kyiv. With a career spanning over three decades in academia and tourism services, she has established herself as a prominent scholar in sustainable development and tourism studies. Her educational background includes: University degree in Geography from Taras Shevchenko National University of Kyiv (1989) CSc (PhD equivalent) in Economic and Social Geography from Taras Shevchenko National University of Kyiv (1997) Professor Kiptenko's research focuses on the intersection of sustainability, development, and tourism. Her work explores indicator-based approaches to sustainable development , particularly examining how international frameworks like the Sustainable Development Goals (SDGs) can be localized within the Ukrainian context. She has conducted extensive research on tourism policy and planning , with special attention to how recreation activities and tourism contribute to the quality of life of urban elderly populations. Her geographical approach to globalization and glocalization examines the spatial dimensions of socio-economic transformations. Analysis of her recent publications reveals a consistent focus on sustainable development frameworks, with particular emphasis on Ukraine's integration with international sustainability standards. Her research shows strong interdisciplinary connections between geography, tourism studies, and policy analysis, with growing attention to the application of geospatial methods in sustainability monitoring. Professor Kiptenko has been involved in significant research projects including: Indicator analysis of sustainable development in Ukraine The role of recreation activities and tourism in the improvement of the quality of life of urban elderly people (2016-2018), integrated into Horizon 2020 Marie Sklodowska-Curie actions (GRAGE - No645706) Spatial Analysis of Tourism Development in multiple Ukrainian regions (2010-2011) Her current research focuses on indicator-based approaches to sustainability framed by SDGs, sustainability criteria in tourism, and the localization of international frameworks to geoinformational representation and policy-making. She aims to design teaching frameworks and recommendations for aligning Ukraine's sustainability monitoring with international practices.
Benjamin Alarie is a Professor and the Osler Chair in Business Law at the University of Toronto Faculty of Law. He is a leading scholar at the intersection of artificial intelligence, law, and taxation, and the co-founder and CEO of Blue J, an AI-powered tax research platform used by over 3,000 organizations across North America and the UK. Education: LL.M. – Yale Law School (2003) J.D. – University of Toronto (2002), with honours M.A. – University of Toronto (2002) B.A. – Wilfrid Laurier University (1999), with high distinction Research Interests: Alarie’s research spans tax law , legal theory , judicial behaviour , and the applications of machine learning in law . He introduced the concept of the “legal singularity”—the idea that legal systems may evolve toward greater clarity and predictability through AI and computational methods. His work explores how AI can enhance legal reasoning, regulatory design, and tax compliance. He is particularly focused on the ethical and practical implications of generative AI in legal and tax practice, including liability, transparency, and the future role of human practitioners in AI-augmented systems. Scientific Awards: PROSE Award (2024) for The Legal Singularity Donner Prize shortlist (2024) for The Legal Singularity vLex Fastcase 50 Honoree (2023) Top 50 Changemaker, The Globe and Mail (2022) Alan Mewett QC Prize for Excellence (2009) Advising & Grants: Alarie is a frequent advisor to courts, government agencies, and global professional networks. His work at Blue J involves strategic partnerships with CPA.com, CPA Canada, the National Association of Tax Professionals, Big 4 accounting firms, and Tax Notes. He also serves as a faculty affiliate at the Vector Institute for AI and the Schwartz Reisman Institute for Technology and Society. Labs & Teams: As CEO of Blue J, Alarie leads a multidisciplinary team of legal scholars, engineers, and data scientists. The platform is used by tax authorities and accounting firms to deliver precise, defensible, and efficient tax research and decision-making tools.
Victoria Lemieux is a Professor at the University of British Columbia (UBC) Faculty of Arts, School of Information, and Cluster Lead for Blockchain@UBC, Canada’s largest research cluster focused on blockchain technology. Her research centers on risks to trustworthy records in blockchain systems and their impact on transparency, financial stability, and human rights. She has pioneered Canada’s first research-oriented graduate blockchain training program and organized multiple interdisciplinary summer institutes. Education: Ph.D. in Archival Studies from University College London (2002), Certified Information Systems Security Professional (CISSP, 2005). Affiliated with UBC’s Peter Wall Institute for Advanced Studies, Sauder School of Business, and Institute for Computers, Information and Cognitive Systems (ICICS). Research interests span blockchain technology , trustworthy records , risk management , information governance , and visual analytics , with recent work addressing healthcare data frameworks, Web3 AI integration, and socio-cultural dynamics of decentralized systems. She has published extensively on blockchain applications in archives, land transactions, and privacy-preserving technologies. Scientific Awards : 2015 Emmett Leahy Award 2015 World Bank Big Data Innovation Award 2016 Emerald Literati Award 2016 Emerald Literati Outstanding Paper Award Supervision: Currently accepts doctoral students in Computational Archival Science and blockchain-related archival research. Affiliated with the Blockchain@UBC cluster and multidisciplinary research teams exploring decentralized systems for social good.
Jan Borchers is a full professor of computer science and head of the Media Computing Group, an endowed Chair in the Computer Science Department at RWTH Aachen University. He serves as deputy member of the Faculty Council for Mathematics, Computer Science and Natural Sciences (2024-2026) and previously headed the Computer Science Department's Examination Board from 2015 until February 2025. Borchers established his research group in 2003, pioneering modern HCI academic research and teaching in Germany, and opened Germany's first Fab Lab in 2009. Borchers received his PhD 'summa cum laude' in computer science from Darmstadt University of Technology in 2000. Before joining RWTH Aachen, he held faculty positions at Stanford University and ETH Zurich. His PhD thesis, 'A Pattern Approach to Interaction Design,' became the first book to bring design patterns to HCI. His research focuses on Human-Computer Interaction with particular interest in new user interfaces for soft robotics, textile user interfaces, 3D printing and personal fabrication, augmented reality, wearable and tangible computing, interfaces for software development, deceptive patterns, and interactive guides and exhibits. He is a member of ACM, SIGCHI, SIGCHI Germany, and GI, and introduced the Interactivity format to the CHI conference in 2005. Recent publications reveal a strong emphasis on deceptive patterns/dark patterns in UI design, textile interfaces, and the impact of generative AI on creative teamwork. His work spans from fundamental research in interaction techniques to practical applications in smart homes, accessibility, and children's interfaces, with a consistent focus on usability and user-centered design. IDC 2025 Best Work in Progress: 'If They Have No Choice, They'll Accept!' CHI'25 Student Games Competition Winner: 'The Deceptive Dungeon' RWTH-Wissenschaftsnacht 2024 Best Science Slam: 'Usability: 4 Prinzipien guter User Interfaces' Multiple CHI/UIST Honorable Mentions and Best Paper awards spanning two decades Author of influential books including 'A Pattern Approach to Interaction Design' and 'Arduino In A Nutshell' Borchers has provided extensive consulting, training, and user interface design services to major clients including AirBus, Apple, ARD, Bayer, Children's Museum Boston, Daimler, Handelsblatt, OTIS, Scout24, TEDx, and Deutsche Telekom. He actively organizes the Computer Science Department's weekly Faculty Lunch since 2003 and coordinates the department's public relations and web presence since 2010. He leads the Media Computing Group, which has become a leading German lab in terms of archival publications at CHI, the top international conference in HCI. Since March 2025, he serves as faculty patron for TechLabs Aachen, a student initiative providing practical digital skills training.
Kingsley Yuen Lung Fong is an Associate Professor of Finance at the UNSW Business School, specializing in Banking and Finance. He has published extensively in leading international finance journals and co-founded the RISE Finance Lab to explore how finance can better foster well-being, relational trust, and long-term stewardship. Institution: University of New South Wales School: UNSW Business School Department: Banking and Finance His academic work is guided by the principle that finance is an evolving design for organizing life and activity across individuals and society. Fong's research expertise spans market microstructure, investment, household finance, and sustainable finance. He has made significant contributions to understanding the connections between finance, society, and nature for a flourishing future. The analysis of his 15 most recent publications reveals a strong focus on market microstructure, trading behavior, and sustainable finance. His work examines algorithmic trading impacts, liquidity measurement, household investment decisions, and regulatory aspects of financial advice. Fong's research demonstrates consistent interest in how financial systems can be designed to better serve societal needs while maintaining market efficiency. 2017 Review of Finance Spängler IQAM Prize 2021 Aspen Institute Ideas Worth Teaching Award 2022 S&P Global Decarbonisation Hackathon As an educator, Fong teaches Wealth Management and Client Engagement, Sustainable Investing, and Sustainable Finance. His leadership roles include serving as Deputy Head of School for Banking and Finance (2011-2019), Co-Founder of UNSW RISE Finance Lab (2025), and member of the Australian Sustainable Finance Institute Sustainable Finance Capability Reference Group (2024). Beyond traditional finance, he created DATKIS, an intellectual framework that grounds common sense and intelligence in truth, awareness, and design.
Matthew Lee Smith is a Professor at the Texas A&M School of Public Health , part of Texas A&M University . He is a core faculty member of the Center for Community Health and Aging (CCHA) and the Center for Health Equity and Evaluation Research (CHEER) , and serves as the Director of the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) . Education: Post-Doctoral Fellowship, Health Science Center, Texas A&M University (2010) PhD in Health Education, Texas A&M University (2008) MPH, Indiana University Bloomington (2004) BS in Public Health Education, Indiana University Bloomington (2002) Research Interests: Dr. Smith’s research focuses on aging , chronic disease management , and evidence-based public health interventions . He is particularly interested in health behavior change , health risk assessment , and survey research methodology . His translational work bridges research and practice across healthcare, aging services, and public health systems. He has a strong focus on social determinants of health , including social isolation , caregiving , diabetes self-management , and fall prevention among older adults. His work often targets underserved populations, particularly Black/African American men and rural communities . Scientific Awards: Immunization Neighborhood Champion Award (2024) Responsible Research in Management Award (2023) J. Mayhew Derryberry Award (2022) Consumer Education Program Award (Silver) (2022) Bluebonnet Award (2021) Innovators in Aging Award (2019) Redefining American Healthcare Award (2019) Community ConnecTivity Award (2019) Phillip G. Weiler Award for Leadership in Aging and Public Health (2018) Leadership & Mentorship: Dr. Smith holds leadership roles in several national and state-level initiatives. He is the Co-Director of the Advancing Gerontology through Exceptional Scholarship (AGES) Program and serves on the Steering Committees of the Texas Falls Prevention Coalition , Texas Alzheimer’s Research and Care Consortium , and Texas Social Isolation and Loneliness Coalition . He is also the Director of the Research Scholars & Mentorship Program (RSMP) at the American Academy of Health Behavior. Labs & Centers: He leads the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) , which focuses on developing and evaluating community-based interventions. He is also affiliated with: Center for Community Health and Aging (CCHA) Center for Health Equity and Evaluation Research (CHEER)
