Dame Til Wykes is a Clinical Professor at King’s College London, leading the School of Mental Health & Psychological Sciences and the Service User Research Enterprise (SURE) . Her work focuses on psychological treatments for schizophrenia , cognitive remediation therapy , and digital mental health services , with international impact on research strategies through projects like European ROAMER and UK Mental Health Research Goals . Education : PhD (University of Sussex), MPhil (King’s College London), BSc (University of Nottingham) Leadership : Head of School (2020–present), Co-Director of SURE, NIHR Maudsley BRC Cluster Lead Research Themes : • Cognitive Remediation Therapy for schizophrenia and psychosis • Digital Mental Health Tools (RADAR-CNS, CIRCuiTS™ software) • Service User Involvement in research design and implementation • Ward Design and Therapeutic Environments in psychiatric inpatient care Selected Scientific Awards : British Psychological Society (2014) GUINNESS WORLD RECORD for Largest Mental Health Lesson Damehood from the Queen (2016) EPA Outstanding Achievement Award SIRS Lifetime Achievement Award (2024) Leadership and Collaborations : President of the Schizophrenia International Research Society (SIRS), Fellow of multiple academies (Medical Sciences, Social Sciences), and Trustee of Weight Concern. She co-leads projects like ECLIPSE and MEMReD , and has contributed to 17 Pharmacological and Psychosocial Treatments in Schizophrenia (3rd ed.).
Catherine Legrand serves as Professor of Biostatistics at UCLouvain (Louvain-la-Neuve, Belgium), affiliated with the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) and the Louvain School of Statistics, Biostatistics and Actuarial Sciences (LSBA) within the Faculty of Science. She chaired ISBA from 2019-2022 and currently presides over the Louvain Institute for Data Analysis and Modeling (LIDAM). Her academic foundation includes: Master Degree in Mathematics from Université Libre de Bruxelles (1998) PhD in Statistics from Hasselt University (2005) supervised by Prof. Paul Janssen and Prof. Luc Duchateau, specializing in survival analysis and frailty models Her research program centers on Survival Data Analysis with emphasis on frailty models, cure models, and Joint Models for Longitudinal and Survival Data. She develops methodologies for clinical trial design and analysis with direct applications in oncology data, bridging theoretical statistics and clinical practice through collaborations with medical researchers. Analysis of her recent publications (2023-2025) reveals three dominant trends: 1) Advanced survival modeling techniques (semi-Markov, cure rate models) for disease progression; 2) Validation frameworks for surrogate endpoints in clinical trials using joint modeling; 3) Emerging applications in health insurance analytics and public health systems. Her work increasingly addresses real-world healthcare challenges while maintaining methodological rigor. No scientific awards were documented in the available sources. Information regarding student supervision and research grant funding was not provided in the current materials. She leads research within LIDAM and ISBA, building on her prior role as primary statistician for the EORTC Lung Cancer Group where she contributed to multiple Phase II/III trials in lung cancer and mesothelioma. Her current work integrates biostatistical methodology development with practical applications across oncology, public health, and actuarial science domains.
Joseph W Hogan is the Carole and Lawrence Sirovich Professor of Public Health and Professor of Biostatistics at Brown University, where he also chairs the Biostatistics Department. His research focuses on statistical methods for missing data, causal inference, and sensitivity analysis , with critical applications in HIV/AIDS in sub-Saharan Africa and global health challenges. He co-directs the Biostatistics Program for AMPATH and the Biostatistics Core for the Providence-Boston Center for AIDS Research, supported by NIH and NSF grants . His work integrates Development of statistical frameworks for observational studies Optimizing HIV treatment monitoring under resource constraints Modeling untestable assumptions in clinical trials and spans collaborations with institutions in the US, Canada, and Kenya. He teaches advanced biostatistics courses and supervises PhD/masters students, while leading international training programs in biostatistics at Moi University, Kenya. Recent publications highlight methodological innovations in viral sequence clustering , seroprevalence studies , and health equity , particularly in low-resource settings. His interdisciplinary grants address HIV-comorbidity care , cardiovascular risk , and alcohol-HIV interactions , emphasizing real-world data applications.
Dr. Robert Sean McCann is an Assistant Professor in the Department of Medicine at the University of Maryland School of Medicine (UMSOM), with a secondary appointment in Microbiology and Immunology. He is affiliated with the Center for Vaccine Development and Global Health (CVDGH), leading the Malaria Research Program. His research focuses on malaria vector ecology, transmission dynamics, and intervention strategies. Education & Training: B.S. in Biology, University of North Dakota (2002–2006) Ph.D. in Entomology & EEBB (Ecology, Evolutionary Biology & Behavior), Michigan State University (2009–2013) Postdoctoral Researcher, Wageningen University & Research (2014–2019) Postdoctoral Fellow, UMSOM (2019–2020) Research Interests: Dr. McCann investigates spatial and temporal patterns of malaria vectors (Anopheles mosquitoes) and parasite transmission using field, lab, and computational tools. Key areas include: Vector habitat use and environmental drivers Genomic analysis of Anopheles populations Evaluation of vector control interventions (e.g., larval source management, house improvements) Human-to-mosquito transmission determinants Integration of geostatistical methods for high-resolution monitoring Advising & Grants: He leads the IRSDA/K01 Fogarty International Center award studying vector diversity impacts on intervention efficacy. His work emphasizes interdisciplinary collaboration to translate research into scalable malaria control strategies. Labs/Teams: Active in the Malaria Research Program at CVDGH, collaborating with global teams in Africa (e.g., Malawi, Kenya) on field-based studies.
Guilherme Lichand is an Assistant Professor at the Stanford Graduate School of Education , where he focuses on addressing educational inequities in the Global South through interdisciplinary research and technological innovation. He serves as Co-Director of the Stanford Lemann Center and as a faculty affiliate at the Stanford King Center on Global Development and Stanford Center on Early Childhood . PhD in Political Economy and Government from Harvard University Former UNICEF Professor of Child Well-being and Development at University of Zurich Co-founder of Brazilian EdTech Movva Research Interests span educational equity, socio-emotional learning, remote education, and technology-driven interventions in low-resource settings. His work combines data science , behavioral economics , and policy analysis , with applications in Brazil, Cote d'Ivoire, and Malawi. Recent publications focus on SMS-based mindset measurement in Brazil, participatory disease surveillance in Malawi, and socio-emotional interventions during the pandemic. His scientific awards include recognition from the Schwab Foundation (2020) and MIT Technology Review (2014), alongside Cannes Lions International Festival of Creativity accolades. Teaching : Courses on EdTech, education policy, and sampling methods Advising : Mentors Master's students (Júlia Lima da Fonseca, Yuta Meguro, Fujie Zhang) and Doctoral Program students (Sergio Arango)
Tracey-Lea Laba is an Adjunct Associate Professor at the Centre for Health Economics Research and Evaluation (CHERE) within the Faculty of Health at the University of Technology Sydney. As an NHMRC Early Career (Sidney Sax) Fellow and registered pharmacist, she brings extensive clinical experience to her academic work. Her research portfolio spans health economics, pharmacoepidemiology, medication utilization, and health policy with a focus on improving health outcomes for disadvantaged populations through better use of high-value medicines for non-communicable diseases. Dr. Laba received her PhD from The University of Sydney in 2014 and was a University Medallist for her Bachelor of Pharmacy (2004). Prior to joining UTS, she held positions as a senior research fellow at The George Institute for Global Health and the Menzies Centre for Health Policy, and completed an honorary postdoctoral fellowship at The University of British Columbia. Her clinical background includes hospital and community pharmacy practice as well as pharmaceutical industry experience. Her research interests focus on health economics, drug utilization and policy, clinical trial translation, and improving medication access for non-communicable diseases. Dr. Laba has secured significant funding for projects including the Centre of Research Excellence in Medicines Intelligence (2020-2025), the ORIENT study on rural access to reproductive health services (2020-2026), and research on medication utilization patterns in cancer care and cardiovascular disease management. An analysis of her recent publications reveals a consistent focus on practical healthcare implementation challenges, with particular attention to medication access, quality improvement in primary care, and health system strengthening. Her work spans both Australian healthcare contexts and global health applications, particularly in low-resource settings in South Asia. Among her notable professional recognitions, Dr. Laba is the first health economist elected to Asthma Australia's Professional Advisory Council and the first person outside the PBAC chair to serve on both the drug utilization and economics subcommittees of the Pharmaceutical Benefits Advisory Committee. Dr. Laba actively supervises Masters and PhD students and has received funding through the NHMRC Early Career Fellowship program. Her research has been supported by multiple grants from the Medical Research Future Fund and NHMRC totaling millions of dollars across various projects focused on medicines intelligence, rural healthcare access, and global health interventions.
Allison J Carroll, PhD is an Assistant Professor at Northwestern University Feinberg School of Medicine with primary appointment in Psychiatry and Behavioral Sciences, and secondary appointments in Medical Social Sciences and Preventive Medicine (Behavioral Medicine). She serves as a core faculty member in the Center for Dissemination and Implementation Science (CDIS) and is affiliated with the Institute for Public Health and Medicine (IPHAM) and the Northwestern University Clinical and Translational Sciences Institute (NUCATS). Dr. Carroll is a clinical health psychologist and implementation scientist whose research focuses on psychological (e.g., depression) and behavioral (e.g., cigarette smoking) contributors to chronic disease (e.g., cardiovascular disease), particularly for disadvantaged and historically underresearched populations. Her current research includes a K23 career development award to inform and pilot test the implementation of a culturally adapted depression intervention for Black adults with hypertension, with training aims in implementation science, community engaged research, and health informatics. Dr. Carroll also serves as an implementation science co-investigator/consultant on externally funded research projects and clinical initiatives in healthcare settings. Her publication record shows a clear focus on implementation science methods applied to cardiovascular disease prevention, depression treatment, and health disparities reduction, with numerous recent publications (2024-2025) in high-impact journals spanning implementation frameworks, community-based interventions, and integrated care models. Scientific Awards: Citation Abstract Award, Society of Behavioral Medicine (2025) Teacher of the Year, Clinical Psychology MA & PhD Programs, Northwestern University Feinberg School of Medicine (2024) Outstanding Abstract Award, Multimorbidities and Multiple Health Behavior Change Special Interest Group, Society of Behavioral Medicine (2022) Early Career Boot Camp, Association of Psychologists in Academic Health Centers 10th National Conference (2021) Fellow, Ten-Day Seminar on the Epidemiology and Prevention of Cardiovascular Disease and Stroke (2019) Dr. Carroll maintains active professional service as Secretary of the Health Research Council for the Society for Health Psychology (2023-present), Research Communication Liaison for the same council (2017-present), and previously served as Membership Coordinator for the Cardiovascular Disease Special Interest Group of the Society of Behavioral Medicine (2022-2024). She is an active member of multiple professional societies including the Association of Psychologists in Academic Health Centers, Society of Behavioral Medicine, American Heart Association, and Society for Health Psychology. Her educational background includes a BA from Monmouth College (2009), MS (2014) and PhD (2018) from Northwestern University, followed by an internship at Medical University of South Carolina in Clinical Psychology/Behavioral Medicine (2018) and a fellowship at Northwestern Medicine in Cardiac Behavioral Medicine (2020).
Laura Linnan, ScD, is a Professor in the Department of Health Behavior and Director of the Carolina Center for Healthy Work Design and Worker Well-Being at the University of North Carolina’s Gillings School of Global Public Health. She also leads the Total Worker Health® graduate certificate program, focusing on interdisciplinary research to improve worker and workplace health. Her roles include former Senior Associate Dean for Academic and Student Affairs (2016–2025), overseeing curriculum development, faculty promotions, and student support systems. Education: ScD in Public Health, Harvard University, 1999 MSEd in Public Health, University of Toledo, 1983 BS in Health Education, Indiana State University, 1981 Research Interests: Dr. Linnan’s work centers on multi-level interventions to reduce chronic disease disparities, emphasizing collaboration with communities and employers. Key areas include: - Workplace health policies and Total Worker Health initiatives - Occupational safety and health for diverse sectors (e.g., healthcare, construction) - Community-based participatory research in childcare, schools, and faith-based organizations - Innovative methods for process and outcome evaluations in public health interventions Key Contributions: Developed the Workplace Health in America Survey (2017), analyzing employer health program prevalence Secured NIOSH funding for the Carolina Center for Healthy Work Design (2020) Co-edited Process Evaluation for Public Health Intervention and Research (2002) Awards & Recognition: 2019 AJHP Editor-in-Chief Paper of the Year ("Results of the Workplace Health in America Survey") Paper of the Year Award for Workplace Health Research (2020) Labs/Teams: Director of the Carolina Center for Healthy Work Design and Worker Well-Being, collaborating with employers, researchers, and policymakers to design evidence-based interventions for healthcare workers, firefighters, and other high-risk groups.
Karen Crawford is a Research Fellow at the School of Health & Wellbeing , University of Glasgow, and Deputy Director of the Centre for Developmental Adversity and Resilience (CeDAR). She manages the THRIVE trial and has previously worked in knowledge exchange and management consultancy. Education: MA (Hons) in Politics and Social Policy (University of Glasgow, 1997); PGDip in Local Economic Development (University of Glasgow). Research interests focus on parenting interventions, study recruitment & retention, mental health in vulnerable pregnant women, and outcomes for maltreated children in foster care. Her work spans clinical trials, economic evaluations, and process assessments. Recent publications (2025-2019) include trials on Infant Parent Support (IPS), BeST? Services, THRIVE, and foster care interventions, with keywords spanning Public Health , Clinical Trials , and Child Welfare . Grants include funding from the Department of Health and Social Care, What Works for Children's Social Care, National Institute for Health Research (NIHR), and Chief Scientist Office for trials on foster care interventions, parenting programs, and psychosocial support.
Suzie Goodell is a Professor and Director of the Interdepartmental Graduate Program in Nutrition at North Carolina State University (NC State), located in the Schaub Food Science Building. She holds a Ph.D. in Nutritional Sciences from the University of Connecticut (2007), an M.S. in Food and Nutrition from Texas Tech University (2002), and a B.S. in Biology from Hardin-Simmons University (1999). Her research focuses on childhood obesity prevention, qualitative methodologies, and community/public health nutrition, particularly in low-income and minority populations. She is a leader in developing evidence-based interventions targeting preschool-aged children and their caregivers. Dr. Goodell has received numerous accolades including the Gertrude Cox Award for Teaching Innovation (2020-21), Alumni Distinguished Undergraduate Professor recognition (2017-18), and the USDA Southern Region Excellence in Teaching Award (2017). She actively contributes to professional organizations like the Academy of Nutrition and Dietetics and the Society for Nutrition Education and Behavior. Her teaching portfolio includes courses such as NTR 490: Senior Capstone in Nutrition and NTR 601/801: Nutrition Seminar, emphasizing experiential learning and technology integration. She has pioneered initiatives like the More PEAS Please! program, combining science education with dietary quality promotion in preschool settings. Her recent work explores food insecurity among college students, teacher training in food-based learning, and childcare garden interventions to improve fruit/vegetable consumption. Dr. Goodell's qualitative research expertise includes in-depth interviews and focus groups, often applied in program evaluations and needs assessments. She collaborates with institutions like the NC State Academy of Outstanding Teachers and the Office of Institutional Equality and Diversity on community-engaged projects.
Laura M. Stapleton is Chair of the Department of Human Development and Quantitative Methodology and a Professor at the University of Maryland’s College of Education. She previously served as Interim Dean and Associate Dean for Research, Innovation, and Partnerships. Her academic roles include leadership in the NSF-funded Quantitative Research Methods Scholars Program (2019–2025) and membership on Maryland’s Accountability and Implementation Board for education reform. Education Background: Ph.D. in Measurement, Statistics, and Evaluation from the University of Maryland. Prior to academia, she worked as an economist at the Bureau of Labor Statistics and in educational research roles at the American Association of State Colleges and Universities and the University of Maryland’s institutional research department. Research focuses on complex survey data analysis, multilevel latent variable models, and mediation testing. Key interests include administrative data utilization, STEM education equity, and policy evaluation. Her work emphasizes bridging statistical rigor with practical educational challenges. Publications span methodological advancements in multilevel modeling, synthetic data strategies, and the integration of administrative datasets. Recent work addresses school-based prevention study attrition and the design effects of multilevel samples. Awards include AERA Fellowship (2023), election as President of the Society for Multivariate Experimental Psychology (2025), and recognition for mentoring and teaching excellence. She has led over $10M in grants, including NSF-funded initiatives to train early-career STEM equity researchers. Current projects include the BCSER Quantitative Research Methods Program (2022–2025) and collaborations on arts education impacts and intergroup relationship interventions. She advises on state-level longitudinal data systems and chairs the Maryland State Longitudinal Data System Center’s Research Branch (2013–2018).
Adam Bennett is an Associate Professor of Epidemiology & Biostatistics at the University of California, San Francisco School of Medicine. His primary research focuses on malaria epidemiology, global health equity, and implementation science, with extensive field work in Southeast Asia (Laos, Thailand, Vietnam) and Africa (Zambia, Namibia). He is affiliated with UCSF's Institute for Global Health Sciences. Dr. Bennett's research examines innovative malaria control strategies including: Targeted interventions for high-risk populations (forest-goers, miners, agricultural workers) Reactive drug administration strategies Genomic epidemiology of malaria transmission Cost-effectiveness of elimination approaches Implementation science in low-resource settings His recent publications demonstrate a strong focus on malaria elimination methodologies, spatial epidemiology, and intervention studies in endemic regions. Research consistently addresses diagnostic approaches, drug administration protocols, and vector control methods tailored to specific transmission contexts.
Ellen Fitzsimmons-Craft is an Associate Professor in the Department of Psychological & Brain Sciences and the Department of Psychiatry at Washington University in St. Louis. She leads the ACCESS Lab, which focuses on scalable digital solutions for eating disorders and mental health disparities. Her work integrates technology, implementation science, and public health to bridge research-practice gaps. Ph.D., University of North Carolina at Chapel Hill M.A., University of North Carolina at Chapel Hill B.A., University of Notre Dame Her research centers on digital interventions for eating disorders, particularly through mobile apps and chatbots. She emphasizes equitable access to care, prevention, and evidence-based treatments using technology. Her work is grounded in cognitive behavioral therapy and implementation science, aiming to scale interventions across college campuses and broader populations. Recent publications highlight her leadership in chatbot development, online screening, and cluster randomized trials of digital CBT. Her work spans mobile health (mHealth) , implementation science , college mental health , and public health innovation . She has published in top journals such as JAMA Network Open , International Journal of Eating Disorders , and Contemporary Clinical Trials . Translational Impact Award, ISRII (2025) Transformation of Mental Health Care grant, Klingenstein Foundation (2024) She mentors graduate and undergraduate students and leads major funded projects, including an NIH R01 grant on chatbot optimization. She also serves as Director of the mHealth Research Core and Treasurer of the Academy of Psychological Clinical Science. Her lab collaborates with industry, non-profits, and government agencies to translate research into real-world impact. The ACCESS Lab develops and tests digital tools to expand access to eating disorder care. Current projects include state-wide university screening platforms, adolescent chatbots, and provider training in digital CBT. The lab emphasizes diversity, equity, and scalability in mental health innovation.
John S. Y. Ho is an Associate Professor in the Department of Electrical and Computer Engineering at the National University of Singapore. His research focuses on developing wireless medical devices for real-time monitoring and intervention in treatment-resistant medical conditions. Notably, he has pioneered work on vagus nerve stimulation (VNS) for depression and digital therapeutics. Ho holds a PhD in electrical engineering from Stanford University, where he was a National Defense Science and Engineering Graduate Fellow. Professional accolades include the NRF Fellowship, NUS Young Investigator Award, and recognition on MIT TR35 and Forbes 30 Under 30 Asia lists. His interdisciplinary work bridges engineering and medicine, addressing gaps in mental health treatment through innovative technologies. Education: PhD in Electrical Engineering, Stanford University Research interests center on neurostimulation therapies, depression biomarkers, and clinical outcome measurement. Key projects include large-scale trials evaluating VNS efficacy and digital tools like CT-152 for treatment-resistant depression. His work emphasizes translational research to improve patient care and reduce treatment resistance. Publications highlight advancements in antidepressant pharmacology, metabolomics, and suicide risk assessment. Ho collaborates globally on initiatives like the RECOVER trial (VNS efficacy) and TX-YDSRN (adolescent mental health). Current efforts focus on deploying AI-driven tools for mental health monitoring and optimizing measurement-based care in primary settings. No specific grants or labs are explicitly mentioned in the text.
Zhenke Wu is an Associate Professor (with tenure) in the Department of Biostatistics at the University of Michigan School of Public Health. He holds affiliate appointments at the Michigan Institute for Data and AI in Society (MIDAS) and leads the Michigan Statistics for Individualized-healthcare Lab (MiSIL). His research bridges statistical methodology and public health applications, with particular focus on precision medicine. Educational background includes: PhD in Biostatistics from Johns Hopkins University (2014) BS in Mathematics from Fudan University (2009) Dr. Wu's methodological research focuses on: Structured Bayesian latent variable models for disease subtyping and clustering Causal inference methods for sequential interventions in mobile health studies Reinforcement learning frameworks for personalized health interventions Scalable computation for high-dimensional biomedical data His applied work spans infectious diseases, mental health, autoimmune disorders, and cancer through collaborations with multiple research consortia including the Intern Health Study and UZIMA-DS project in Africa. Recent publications demonstrate strong focus on Bayesian methods, causal inference, and reinforcement learning applications in digital health. Article themes include mobile health interventions, synthetic EHR development, fair machine learning algorithms, and novel approaches for longitudinal and survival data analysis. Methodological innovations consistently address challenges in precision medicine and individualized health decision-making. Dr. Wu leads several collaborative initiatives including the Precision Health Use Case for mental health treatment (PROMPT) and partners with the Rogel Cancer Center. He advises multiple PhD students and postdoctoral researchers in statistical methodology development and health applications.
