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Ian Brunton-SmithView profile

Professor

• Criminology
• Advanced Quantitative Methods
• Survey Methodology
• +4 more

Professor Ian Brunton-Smith is a leading academic in Criminology and Advanced Quantitative Methods at the University of Surrey, Department of Sociology. He holds the role of Professor of Criminology and Research Methods, with affiliations including the Surrey Centre for Criminology and editorial positions at journals such as Sociology and the Journal of the Royal Statistical Society Series A . His research focuses on improving crime measurement, multilevel modeling, Bayesian statistics, and the public understanding of science. He has led projects like the ADR UK Data First Evaluation Fellowship and Re-counting Crime, addressing issues like police under-counting and crime data reliability. He currently supervises PhD student Megan Georgiou and teaches on the MSc Social Research Methods program. His work bridges criminological theory and methodological innovation, with notable contributions to topics like hate crime impacts, prisoner reentry outcomes, and interviewer effects in surveys. He has served on the 2021 REF panel for Sociology and advisory groups for police funding formulas. Education: Holds a PhD in Sociology, with prior academic roles at the University of Warwick (Director of the Warwick Q-Step Centre). His research integrates quantitative rigor with real-world policy applications, particularly in crime prevention and data accuracy. Grants and Projects: Principal Investigator for projects such as 'Re-counting Crime: New Methods to Improve the Accuracy of Estimates of Crime' (ESRC, £299,261) and 'ADR UK Data First Evaluation Fellowship' (£177,202). Collaborations include work on synthetic crime data and carbon footprint analysis of crime prevention measures. Awards and Recognition: While no explicit awards are listed, his extensive editorial roles and leadership in high-impact research initiatives reflect his scholarly influence. Labs and Teams: Co-director of the Surrey Centre for Criminology and involved in cross-disciplinary teams analyzing crime data, survey methodology, and environmental criminology.

Rachel MayberryView profile

Professor

• Linguistics
• Psycholinguistics
• Neurolinguistics
• +3 more

Rachel Mayberry's Academic Profile Rachel I. Mayberry is a Professor in the Department of Linguistics at the University of California San Diego (UCSD), where she holds affiliations with the Center for Research on Language, Cognitive Science Program, and the Center for Academic Research and Training in Anthropogeny (CARTA). She holds a Ph.D. from McGill University, M.Sc. from Washington University, and B.A. from Drake University. Her work focuses on the critical period for language acquisition through sign language and deafness studies. Her research integrates psycholinguistic and neuroimaging methods to explore how delayed language exposure impacts syntactic processing, brain development, and reading proficiency in deaf individuals. Key areas include neurolinguistic processing differences between early and late first-language learners of ASL, the role of modality in syntactic comprehension, and the relationship between gesture and language development. Mayberry teaches courses such as Sign Language and Its Culture (Lign 7), Child Language Acquisition (Lign 171), and Biology and Environment in Language Acquisition (Lign 282). She has received grants from NIH, the Kavli Foundation, and the National Science Foundation. Her work has been published in high-impact journals like Developmental Science , Proceedings of the National Academy of Sciences , and Brain and Language . Notable contributions include demonstrating that critical period effects are stronger for first-language acquisition than second-language learning, and revealing how early language deprivation alters neural language pathways in adulthood. Her lab collaborates with institutions like the Salk Institute and UCSD's Neuroscience Program to bridge cognitive science and linguistics.

• Epidemiology
• Systematic Review Methods
• Low Back Pain Management
• +4 more

Dr. Jill Hayden is a Professor in the Department of Community Health and Epidemiology at Dalhousie University's Faculty of Medicine. She leads the BACK Program, focusing on prognosis research and systematic reviews, funded by multi-year CIHR grants. Her work addresses improving healthcare decision-making through evidence synthesis and low back pain management. She contributes to the Cochrane Collaboration and serves as Nova Scotia Science Lead for the Maritime SPOR SUPPORT Unit. Education: PhD (University of Toronto) Chiropractic Clinical Sciences Residency (Canadian Memorial Chiropractic College) DC (Canadian Memorial Chiropractic College) BSc Honours (Dalhousie University) Research Interests: Dr. Hayden's research integrates clinical epidemiology with systematic review methodologies, emphasizing prognosis studies, individual participant data (IPD) analyses, and network meta-analyses. She investigates opioid prescribing practices, exercise therapy efficacy, and knowledge translation strategies to bridge research evidence and clinical practice. Key Awards: Researcher of the Year (Canadian Chiropractic Association, 2014) CIHR/CCRF New Investigator Award (2007–2012) Research Professorship in Epidemiology (2011–2016) Grants & Advising: Her CIHR-funded research supports prognosis studies and systematic review innovations. She advises on spinal manipulative therapy efficacy and has collaborated across institutions on pain management protocols. Labs/Teams: Leads the BACK Program and co-convenes the Cochrane Prognosis Methods Group, fostering interdisciplinary collaboration in evidence-based healthcare.

• Nephrology
• Chronic Kidney Disease
• Home Dialysis
• +4 more

Annie Claire Nadeau-Fredette is a Clinical Associate Professor at the Université de Montréal and a nephrologist at the Hôpital Maisonneuve-Rosemont and the Montreal Heart Institute. She directs the hospital's home dialysis programs (peritoneal and hemodialysis). Her research focuses on improving transitions in chronic kidney disease care, evaluating outcomes like quality of life and frailty in end-stage renal disease patients, and optimizing home dialysis protocols. She holds a MD (2007), nephrology residency (2012), and a Master's in Clinical Research (2016). Major affiliations include the Centre de recherche de l'Hôpital Maisonneuve-Rosemont (CRHMR) and the INTEGRATED research group. Awards include the FRQS Junior 1 Clinical Fellowship (2018). She leads grants on topics like quality of life in dialysis transitions and cardiovascular risk assessment. Supervised numerous residents and fellows, focusing on projects like anticoagulation in dialysis and training duration impacts. Active in editorial roles for Nephrology and Peritoneal Dialysis International .

Melissa LibertusView profile

Professor

• Cognitive Development
• Mathematical Cognition
• Early Childhood Education
• +2 more

Melissa Libertus is Full Professor in the Department of Psychology at the University of Pittsburgh, where she directs the Kids' Thinking Lab. She holds a PhD from Duke University and specializes in cognitive development, particularly the emergence of mathematical abilities in early childhood. Education: PhD in Psychology from Duke University Her research examines how children develop numerical and mathematical skills, with focus on the home learning environment, parent-child interactions, and individual differences in learning trajectories. Current projects investigate how spatial language exposure influences math development and how home activities shape emerging numeracy skills. Publications explore cognitive mechanisms underlying mathematical skill acquisition, with recent emphasis on longitudinal studies of home learning environments, cross-cultural comparisons of numeracy development, and interventions to support early math skills. Scientific Awards: International Mind Brain and Education Society Early Career Award (2014) Developmental Science Early Career Research Prize (2011) George H. Hitchings New Investigator Award (2006-2007) She leads the Kids' Thinking Lab which investigates cognitive development through behavioral experiments and observational studies with children and families.

Asta Halkjær FromView profile

Researcher

• Formal Logic
• Automated Reasoning
• Theorem Proving
• +13 more

Asta Halkjær From is a postdoctoral researcher in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society (SDPS) section under Dmitriy Traytel. She previously completed her PhD at DTU Compute from 2020 to 2023, focusing on formalized deduction methods in computational logic. She holds a Master’s and Bachelor’s degree from DTU in Computer Science and Software Technology, respectively, with a specialization in Artificial Intelligence and Algorithms. Her research lies at the intersection of formal logic and computer science, particularly in automated reasoning, proof assistants (Isabelle/HOL and Lean), and mechanized metatheory. She has contributed extensively to synthetic completeness proofs, tableau systems, and verified theorem provers. Her work emphasizes formal verification of logical systems, including epistemic logic, hybrid logic, and first-order logic, with a focus on soundness and completeness. The recent publications highlight a consistent trend: the mechanization of logical foundations in proof assistants. Her work bridges theoretical logic with practical verification tools, enabling reliable automation in theorem proving. She has developed and verified provers, explored axiomatic systems, and advanced the methodology of synthetic completeness, often leveraging Isabelle/HOL’s framework. Distinguished Paper Award, CPP 2023 DTU Young Researcher Award DTU Travel Grant (Executive Board Recognition) Otto Mønsted Fonden Travel Grant She has supervised BSc and MSc theses, special courses, and research projects at DTU, and currently teaches Software Development for Digital Health . She has served on program committees for CPP, ITP, and Dalí workshops and has reviewed for journals including Journal of Automated Reasoning and Journal of Logic and Computation . She has also participated in international research visits, including at VU Amsterdam. She is actively involved in building tools for formal reasoning and maintains a personal website with resources, including an Isabelle snippets generator and bibliography tools. Her work continues to advance the foundations of formal logic through mechanized proofs and practical automation.

Michelle TanView profile

Research Fellow

• Clinical practice guidelines
• Health policy development
• Health services evaluation
• +14 more

Roles and Affiliations: Michelle Tan is a Research Fellow at Monash University's Centre for Medicine Use and Safety, collaborating with the National Centre for Healthy Ageing and Australian Department of Health. She holds honorary positions at King’s College London (Affiliate Research Fellow) and the University of Queensland (Adjunct Research Fellow). Her work focuses on evidence-based guideline development, health policy, and leveraging large datasets to inform national policies. Education: PhD in Medicine (The University of Sydney, 2020) Research Training: King’s College London, Monash University, and Newcastle University. Research Interests: Her expertise spans clinical guidelines, multimorbidity, healthy ageing, and obesity research. She applies advanced statistical methods to study chronic disease management, public health policy, and healthcare quality improvement. Grants and Awards: NHMRC Ideas Grant (2025-2029) European Association for the Study of Obesity Travel Grant (2024) University of Sydney SEED Grant (2019) Multiple scholarships including Commonwealth Government Research Training Program (2017-2020). Key Collaborations: Works with Dr. Nic Kormas on NSW bariatric surgery programs, and with institutions like the NIHR Policy Research Unit (UK), LSE, and WHO-linked initiatives. Labs/Teams: Leads projects in metabolic health, guideline development, and policy analysis across multiple institutions in Australia and the UK.

Antoine GeissbuhlerView profile

Professor

• Medical Informatics
• eHealth
• Telemedicine
• +7 more

Antoine Geissbuhler is a Full Professor at the University of Geneva's Faculty of Medicine, Department of Radiology and Medical Informatics. He serves as Dean of the Faculty of Medicine since July 2023, following his role as Vice-Rector for Digital Strategy and Innovation. Additional leadership positions include Director of the HUG Innovation Center and Chief Physician of the eHealth and Telemedicine Department at Geneva University Hospitals (HUG), recognized as a WHO collaborating center. He also presides over BioAlps, Western Switzerland's life sciences cluster. Geissbuhler's research focuses on designing and implementing IT tools in healthcare, with emphasis on telemedicine networks and digital health strategies. His work spans global contexts including Africa, Asia, and Latin America through the RAFT project connecting hundreds of healthcare professionals across 20 countries. Key domains include maternal health monitoring, shared medication plans, AI chatbots for patient education, and digital solutions for non-communicable diseases. His publications reveal strong trends in implementation science, particularly frameworks for reporting digital health interventions (iCHECK-DH) and learning from implementation failures. WHO Collaborating Center designation for eHealth department President of BioAlps life sciences cluster (since 2022) Architect of Swiss eHealth strategy implementation Developer of RAFT telemedicine network As an educator, Geissbuhler has pioneered telemedicine training across resource-limited settings through the RAFT network. His leadership extends to digital health policy, including contributions to global standards for health information systems and ethical frameworks for health data reuse. Current initiatives emphasize patient-centered digital tools and strengthening health system resilience through technology.

Shannon L. MarlowView profile

Assistant Professor

• Teamwork
• Leadership
• Training
• +5 more

Dr. Shannon L. Marlow is an Assistant Professor of Management at the Carlos Alvarez College of Business, The University of Texas at San Antonio. She holds a Ph.D. in Industrial/Organizational Psychology from Rice University, and master's and bachelor's degrees in the same field from the University of Central Florida. Her research focuses on teamwork, leadership, and training, with a particular emphasis on team processes and emergent states influencing outcomes like performance. Key areas include virtual team dynamics, leadership training efficacy, and healthcare team interventions. Her work has been published in journals such as Journal of Applied Psychology and Organizational Behavior and Human Decision Processes , and featured in Forbes and Science Daily . Recent research trends highlight meta-analyses on team learning pathways, psychological safety emergence, and the team Big Five traits. Her studies often intersect organizational behavior with practical applications in healthcare and mission-critical settings. Marlow has contributed to systematic reviews on virtual team predictors and healthcare team performance measurement. Her training-related work includes leadership development program evaluations and meta-analyses on coaching success factors.

Angela MaddenView profile

Clinical Professor

• Nutrition
• Dietetics
• Clinical Nutrition
• +8 more

Dr. Angela Madden is a Clinical Professor and Clinical Researcher in Nutrition and Dietetics at the University of Hertfordshire, where she initiated and led the Nutrition and Dietetics program (2006–2020). She holds a PhD in Nutrition from University College London (UCL). Her research focuses on enhancing health through nutritional interventions, particularly in clinical dietetics and public health, with expertise in liver disease, obesity, and energy expenditure assessment. She is a Fellow of the British Dietetic Association (BDA) and Trustee of its General and Education Trust. Her academic roles include teaching research-informed practices and mentoring over 12 peer-reviewed papers co-authored with students. Key research interests include nutritional assessment tools, energy expenditure prediction, and dietary interventions for chronic conditions like cirrhosis and coeliac disease. She supervises PhD students exploring behavior change in obesity and post-transplant nutrition. Major projects include systematic reviews on gallstone disease management and resting energy expenditure in children. She has contributed to national guidelines, such as improved height prediction equations for ethnically diverse populations. Awards include BDA Fellowships and collaborative grants from NIHR and the MRC.

Zheng ZhangView profile

Researcher

• Human-AI Interaction
• Human-Computer Interaction
• Machine Learning
• +3 more

Zheng Zhang is a Ph.D. candidate in the Department of Computer Science and Engineering at the University of Notre Dame, where he focuses on human-AI interaction. He also works as an Applied Scientist in Adobe's GenAI team, developing interactive AI systems for user experience enhancement. He has held internships at Apple, AWS AI, and Meta Reality Labs. Education: Ph.D. (in progress) at University of Notre Dame M.S. in Computer Science from University of Rochester and University of Minnesota B.Eng. in Software Engineering from Shaanxi Normal University His research explores the intersection of human-computer interaction (HCI) and machine learning (ML), emphasizing systems that provide adaptive, context-sensitive support for complex cognitive tasks. Key areas include collaborative tools for team ideation, incremental learning from user demonstrations, and multimodal context-aware interfaces. Recent publications demonstrate a focus on AI-augmented collaboration through large shared displays (LADICA), audio-visual annotation (PEANUT), and interactive qualitative coding (PaTAT). His work increasingly integrates generative AI with real-time human input, particularly for co-located teams and educational applications. He serves as a Program Committee member and reviewer for top HCI/ML conferences including CHI, UIST, IUI, and ACL. Teaching experience spans courses in human-AI systems, algorithms, and data structures.

Yuri FaenzaView profile

Associate Professor

• Discrete Optimization
• Operations Research
• Mathematical Programming
• +4 more

Yuri Faenza is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia Engineering, with affiliations to the Data Science Institute (DSI) and Foundations of Data Science Center. His research bridges Discrete Optimization, Operations Research, and Computer Science, focusing on algorithmic theory and applications to Market Design (particularly School Choice) and Machine Learning. Key research areas include Knapsack , Matching , and Extended Formulations , with methodological work on polytope structures, greedy algorithms, and stochastic or semi-random models. His recent publications emphasize stable matching, optimization under uncertainty, and the intersection of discrete mathematics with data science. Scientific awards include the NSF CAREER award Meta Research Award . He has served on program committees for major conferences like ALGA, EC, APPROX, and IPCO, and is an Associate Editor for journals including Mathematical Programming and Discrete Optimization . Prior to Columbia, he held postdoctoral positions at the University of Brussels, EPFL, and University of Padua.

• Substance misuse prevention
• Polysubstance use
• Alcohol epidemiology
• +7 more

Dr. Gary C.K. Chan is an NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research within the School of Psychology at the University of Queensland. As a statistical advisor, he provides methodological guidance to academic staff and research higher degree students. His collaborative work spans major international research institutions including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London, with significant policy impact through consultation with the United Nations Office of Drugs and Crime. Dr. Chan's principal research focuses on substance misuse prevention and advanced statistical methods for longitudinal analysis. His work examines polysubstance use patterns (particularly alcohol, tobacco, and cannabis) among adolescent populations, urban-rural disparities in substance use, and the epidemiology of various substances. He applies sophisticated statistical modeling to understand complex relationships between substance use, mental health, and sociodemographic factors, with particular attention to methodological innovations in addiction research. Dr. Chan's prolific publication record demonstrates a strong focus on contemporary substance use issues, particularly cannabis and vaping trends among youth. His research employs diverse methodologies including longitudinal analysis, systematic reviews, and wastewater-based epidemiology. There's a clear emphasis on policy-relevant research that examines the impact of regulatory changes on substance use patterns, with significant contributions to understanding cannabis use for medicinal purposes and the relationship between social media exposure and substance use behaviors. Scientific Awards: NHMRC Emerging Leadership Fellowship As a statistical advisor at the School of Psychology, Dr. Chan provides methodological support to academic staff and research higher degree students. Since 2016, he has conducted advanced statistical workshops on R programming and multilevel modeling. His research is supported through the NHMRC fellowship and numerous collaborations with major national and international institutes that facilitate large-scale epidemiological studies and policy-relevant analyses. Dr. Chan is affiliated with the National Centre for Youth Substance Use Research at the University of Queensland. His collaborative network spans multiple research teams across continents, enabling comprehensive investigations of substance use patterns and their determinants in diverse populations and settings.

Cheneal PuljevicView profile

Research Fellow

• Substance Use Harm Reduction
• Tobacco Control
• Illicit Tobacco Use
• +7 more

Dr Cheneal Puljevic is a Senior Research Fellow at the School of Public Health, University of Queensland, and an ARC DECRA Fellow at the NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame. She is also affiliated with the Centre for Health Services Research and serves as the Honours Program Director for the Bachelor of Health Sciences. Her research spans multiple institutions and collaborations, including the Global Drug Survey and The Loop Australia. PhD, Griffith Criminology Institute, Griffith University (2018) Bachelor of Psychology (Honours), University of Cape Town (2011) Her research focuses on substance use harm reduction , tobacco control , and public health interventions . She specializes in smoking cessation among marginalized populations, illicit tobacco use, drug checking, and alcohol-fuelled violence. Her work combines qualitative, quantitative, and mixed-methods approaches to evaluate policies and design harm reduction services. Her recent publications (2024–2025) reflect a strong trend in harm reduction innovation , particularly in drug checking and anabolic steroid safety , alongside continued focus on tobacco control and behavioral interventions for substance use. She frequently employs systematic reviews , qualitative studies , and global survey data to inform public health policy. Her scientific awards highlight her excellence in early-career research: ARC DECRA Fellow School of Public Health Top-Performing Level C (2024) School of Public Health Rising Star (2023) School of Public Health Top-Performing Level B (2022) APSAD Early Career Award (2020) UQ Early Career Researcher Grant (2019) Dr Puljevic actively supervises students and contributes to academic leadership as an Associate Editor for the International Journal of Drug Policy and Deputy Editor for Drug and Alcohol Review . She leads research teams in the Global Substance Use and Mental Health unit and collaborates on major projects such as QUANTEM and the Global Drug Survey. Her work bridges research, policy, and community engagement to improve health outcomes for vulnerable populations.

Alfredo SpagnaView profile

Lecturer

• Cognitive Neuroscience
• Perception
• Consciousness
• +7 more

Alfredo Spagna is a Lecturer in the Discipline of Psychology at Columbia University and serves as Director of Undergraduate Studies for the Neuroscience & Behavior Major, Director of Undergraduate Research, and Co-Director of the STAR Program. He earned his Ph.D. in Cognitive Neuroscience, Psychology, and Psychophysiology from Sapienza University of Rome in 2014. Education: Ph.D., Sapienza University of Rome, 2014 His research investigates the cognitive and neural mechanisms of human attention and mental imagery, focusing on the interplay between frontoparietal networks and high-level visual regions. Methodologies include behavioral experiments, 3T/7T fMRI, MEG, sEEG, and mobile EEG. Current projects test a heterarchical model of visual mental imagery and examine attentional networks in social/non-social stimuli processing. Recent publications explore attentional reorienting in visual perception, cognitive control in depression, and interdisciplinary applications of neuroimaging. As a mentor, he guides undergraduate, graduate, and postdoctoral students in academic and research endeavors, emphasizing collaborative and inclusive environments. He founded The Living Lab, an interdisciplinary initiative integrating neuroscience, journalism, theater, and philosophy to address societally relevant topics such as diversity, equity, and inclusion (DEI) training efficacy and attentional mechanisms in mental imagery.