Hervé Cardot is a Professor of Statistics and team leader of the Statistics, Probability, Optimization and Control (SPOC) group at the Institut de Mathématiques de Bourgogne (IMB) , University of Burgundy. His research spans functional data analysis, stochastic algorithms for robust estimation, survey sampling methodology, and applied statistics across diverse fields. Research Interests : Functional data analysis, online principal component analysis, zero-inflated regression, survey sampling, nonparametric estimation Key Applications : Agriculture, climatology, energy consumption, food science, remote sensing, medical imaging Recent Work includes: Developing statistical frameworks for analyzing categorical trajectories using multivariate functional PCA (2025) Advancing bias-robust estimation for functional data in survey sampling (2020) Creating online stochastic algorithms for high-dimensional robust estimation (2017) Applying semi-Markov models to sensory analysis (2018) Teaching at the University of Burgundy includes courses on statistical modeling, big data analysis, and applied statistics for economics and psychology. He supervises PhD students in statistics and co-edits Statistics and Probability Letters .
Shannon Galyean, Ph.D., RDN, LD, is an Assistant Professor in the Department of Nutritional Sciences at Texas Tech University's College of Human Sciences. She joined the department in 2018 and currently serves as the Interim Director of the Nutrition & Metabolic Health Initiative (NMHI) since 2024. Her professional background spans over two decades as a registered dietitian nutritionist, with extensive experience in clinical dietetics including obesity management, vitamin/mineral deficiencies, and bariatric surgery. Dr. Galyean's research centers on precision nutrition, micronutrient metabolism (especially vitamin D), and the gut microbiome in chronic disease management. She investigates nutrigenetics, synbiotic supplementation, and culinary medicine interventions for conditions like obesity, diabetes, and hypertension. Her work extends to bariatric surgery patients and senior populations, focusing on improving nutritional status, muscle quality, and overall health outcomes through innovative, personalized approaches. Recent publications (2023-2024) emphasize digital health solutions, including web-based culinary medicine apps for older adults and scoping reviews on nutrition apps and home-based programs. She also examines dietary patterns like the DASH diet with potatoes for blood pressure control. Earlier work (2019-2021) addresses vitamin D deficiency in bariatric patients and explores nutrigenetics for personalized post-surgical care, reflecting a trajectory toward integrated, technology-driven nutrition science. No scientific awards were mentioned in the provided text. As an Assistant Professor, Dr. Galyean likely advises graduate students, though specific names are not listed. Her research is supported through initiatives like the Nutrition & Metabolic Health Initiative and her co-founded company 3 CulinaryMed Docs, which developed the "sam" app for personalized meal planning. She has led multiple studies using this app to improve health outcomes in chronic disease populations. Dr. Galyean co-founded 3 CulinaryMed Docs, a company that created the "sam" culinary medicine app. She leads research within the Nutrition & Metabolic Health Initiative (NMHI) at Texas Tech University, focusing on interdisciplinary approaches to metabolic health. Her work involves collaborations with clinicians and researchers to develop and test nutrition interventions for diverse patient populations.
Bengt-Gunnar Jonsson is a Professor in the Department of Biology at Mid Sweden University's School of Natural Science, Design and Sustainable Development. With over 25 years of research experience, he specializes in boreal forest ecology, deadwood dynamics, and biodiversity conservation. His work focuses on wood-inhabiting fungi , lichen communities , and forest fragmentation effects , particularly in northern Sweden's high conservation value forests . Jonsson has been pivotal in developing green infrastructure models and climate-adaptive forestry strategies . Key research themes: forest conservation, fungal ecology, climate change mitigation, deadwood management Research tools: presence-absence sampling, Bayesian modeling, long-term ecological monitoring Policy contributions: EU Biodiversity Strategy evaluations, IPBES initiatives His recent publications (2025-2020) demonstrate sustained expertise in forest carbon dynamics , saproxylic community analysis , and landscape-scale conservation . Jonsson frequently collaborates with international researchers on temperate and boreal forest biodiversity , with notable work on functional ecology and ecosystem service trade-offs . Current projects include 'Climate - collaborative learning initiative' and 'Functional green infrastructure in boreal forests' . Scientific contributions span multiple systematic reviews in environmental management, including Forest Ecology and Management and Environmental Research Letters . He has co-authored Cambridge University Press 's Biodiversity in Dead Wood and contributed to IPBES policy frameworks. Jonsson's research integrates empirical forest monitoring with theoretical ecological modeling , particularly in wood decomposition processes and fungal community dynamics .
Professor Robyn Norton AO is Founding Director of The George Institute for Global Health, Professor of Public Health at UNSW Sydney, and Chair of Global Health at Imperial College London. She has co-established the Global Women’s Health Program, focusing on non-communicable diseases and injuries across women’s lifecourse. Co-leader of sex/gender equity policy development in Australia and the UK Founded Australia’s first Centre for Sex and Gender Equity in Health and Medicine (2024) Active advisor to Franklin Women, Imperial College’s Women’s Health Network, and Black Dog Institute Research Interests : Women’s health advocacy, gender equity in medical research, non-communicable diseases, injury prevention, and health systems reform. Her work emphasizes data disaggregation by sex/gender and policy frameworks to address health disparities globally. 2024-2025 Publications Trends : Focus on integrating sex/gender analysis into clinical trials, maternal health equity in low-income regions, and policy mechanisms for gender-inclusive research. Key disciplines span Public Health , Biomedical Research , and Global Health . Scientific Awards : Fellow of the Australian Academy of Health and Medical Sciences (2016) Officer (AO) in the Order of Australia (2017) Advisory Roles : Appointed to advisory councils for women’s health in Australia (2022) and the UK’s Women’s Health Strategy (2022). Currently chairs advisory boards for Franklin Women (2024) and Imperial College’s Network of Excellence in Women’s Health (2024).
Auxiliadora Sarmiento Vega is a full professor at the University of Seville 's School of Engineering within the Department of Signal Theory and Communications . With over two decades of research experience, her work bridges audio signal processing and biomedical applications, focusing on blind source separation, entropy-based methods, and machine learning for healthcare diagnostics. Research Pillars : Audio source separation, biomedical signal/image analysis, and virtual reality integration Key Projects : ACACIA (Signal Analysis), NEUBIAS (Bioimage Analysts Network), and multiple NIH-funded biomedical imaging initiatives Academic Contributions span 15+ years, with groundbreaking work in: Alpha-Beta divergence clustering algorithms EEG processing for motor imagery BCI systems Automated breast cancer grading from histological images Glaucoma and diabetic retinopathy diagnostics via retinal image analysis Virtual reality platforms for emotion analysis research She actively collaborates with institutions like the IEEE Women in Engineering (Spanish section secretary) and NEUBIAS network , while mentoring through outreach programs like g4g Day that empower young women in STEM.
Øyvind Wiig Petersen is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on bridge dynamics, wind and wave loading, inverse force identification, structural monitoring, and machine learning applications in structural mechanics. He works extensively with long-span suspension bridges and floating bridge systems. Current research areas include vortex-induced vibrations, Kalman filter applications, wind tunnel testing, and finite element model updating. He has published in leading journals like Journal of Wind Engineering, Mechanical Systems and Signal Processing, and Engineering Structures. His work integrates experimental data with computational models for structural condition assessment and load estimation.
Carl A. Miller is an Adjunct Associate Professor at the University of Maryland Institute for Advanced Computer Studies (UMIACS) and a mathematician at the National Institute of Standards and Technology (NIST). He co-directs the Joint Center for Quantum Information and Computer Science (QuICS) and holds affiliate faculty status in Mathematics and Applied Mathematics & Scientific Computation (AMSC) at UMD. His research focuses on quantum information processing, particularly quantum cryptography, where he explores the intersection of mathematics and theoretical computer science. Contact: (301) 405-7367 | 3100K Atlantic Building, UMD Research: Quantum cryptography, quantum interactive proofs, quantum advantage, computational complexity, and mathematical foundations of quantum protocols Activities: Program Chair for QCRYPT 2021, committee member for multiple quantum computing conferences, Scientific Lead for the MathQuantum RTG at UMD His recent work includes analyzing quantum advantage in lattice-based systems and security proofs for post-quantum cryptographic protocols. He has also contributed to understanding undecidability in quantum correlations and experimental randomness generation. Carl Miller's scientific awards and honors are not explicitly mentioned in the provided texts. He has advised several graduate researchers, including Honghao Fu and Daochen Wang, who now hold academic positions at Concordia University and the University of British Columbia, respectively. He organizes reading groups on quantum interactive proofs and cryptography and is involved in collaborative projects like the NIST Postquantum Cryptography Project.
Irma Bonvanie is a researcher actively contributing to Primary Health Care and Pediatric Gastroenteritis studies. Her work focuses on optimizing care for children with acute gastroenteritis in primary care settings. Research Interests: Primary Health Care, Acute Gastroenteritis, Pediatrics, Clinical Trials, Ondansetron efficacy, Cost-Effectiveness Analysis. Her recent publications highlight randomized controlled trials and qualitative analyses of parental experiences, emphasizing symptom management and healthcare delivery. Key themes include the use of antiemetics like ondansetron and evaluating care pathways for gastrointestinal illnesses. Her studies, such as cost-effectiveness analyses of ondansetron in primary care, demonstrate translational impact in clinical practice and policy. Collaborations span institutions in the Netherlands, with frequent co-authorship on family medicine journals. Irma has supervised one academic work and maintains an active presence in peer-reviewed publications. Her research aligns with UN Sustainable Development Goals for health equity.
Valentin Bolotnyy is a Kleinheinz Fellow at the Hoover Institution, Stanford University, with additional affiliations as a research affiliate at the Institute of Labor Economics (IZA) and an affiliated scholar at Stanford's Deliberative Democracy Lab. He serves on the California Governor's Council of Economic Advisors and collaborates with state and local agencies including departments of transportation, human services, and public safety. Hoover Institution, Stanford University (2019-present) California Governor's Council of Economic Advisors (2024-present) Deliberative Democracy Lab, Stanford CDDRL (affiliated scholar) IZA Institute of Labor Economics (research affiliate) Bolotnyy's research focuses on innovative policies that improve economic and health outcomes, particularly for vulnerable populations. His work spans public economics, labor economics, mental health policy, infrastructure procurement, immigration policy, and gender economics. He employs administrative data and randomized experiments to address pressing policy questions, often partnering with government agencies to ensure practical applicability of findings. His publication portfolio demonstrates consistent engagement with critical social issues, with recent work examining involuntary hospitalization consequences, abortion policy impacts, graduate student mental health, and climate effects on law enforcement. Bolotnyy's research methodology combines rigorous econometric analysis with real-world policy applications, resulting in national media coverage in outlets like The Wall Street Journal, The Boston Globe, The Atlantic, and Vox. Padma Desai Prize in Economics (2019) Upjohn Institute Early Career Research Award (2024) Stanford Impact Labs grant ($786,100, 2024) Bolotnyy actively advises policymakers through his role on the California Governor's Council of Economic Advisors and has secured significant grant funding for his research. His collaborations extend across multiple state agencies and academic institutions, reflecting his commitment to evidence-based policy solutions. He has designed and analyzed randomized experiments on political communication through the Deliberative Democracy Lab, contributing to understanding how Americans discuss politics and form opinions on key issues. Bolotnyy leads research teams addressing mental health policy, infrastructure procurement, and political deliberation, with projects often involving partnerships between academic researchers and government officials. His work on involuntary hospitalization secured substantial funding to develop interventions for reducing mental health crises, demonstrating practical impact of his research agenda.
Benjamin C. Pierce is the Henry Salvatori Professor of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania. As a Fellow of the ACM, he has made significant contributions to programming language theory and formal methods. His academic leadership includes previous editorial roles as co-Editor in Chief of the Journal of Functional Programming and Managing Editor for Logical Methods in Computer Science. His research spans multiple interconnected domains in programming language theory, with particular emphasis on type systems and their applications to security and verification. Pierce's work bridges theoretical foundations with practical implementations, most notably through his development of the Unison file synchronization tool and contributions to the Clowdr virtual conference platform. His research interests form a cohesive trajectory from foundational type theory to applied security and verification techniques. Pierce's scholarly output shows consistent focus on property-based testing, type systems, and formal verification methods. His recent publications demonstrate evolving interests in differential privacy verification, synchronization technologies, and the practical challenges of implementing formal methods in real-world systems. The progression of his work reflects both theoretical depth and practical relevance to software development challenges. Fellow of the ACM Author of influential textbooks Types and Programming Languages and Software Foundations Lead designer of the Unison file synchronizer Co-developer of the Clowdr virtual conference platform Former editorial leadership for multiple prominent programming languages journals As an educator and mentor, Pierce has contributed to the Programming Languages Mentoring Workshop (PLMW) and has served on numerous conference program committees. His academic service extends to SIGPLAN leadership roles including SIGPLAN Vice Chair and Steering Committee membership. His textbook Software Foundations has become a standard resource for teaching formal methods and proof assistants.
Marc Jambon is an Assistant Professor in the Department of Psychology at Wilfrid Laurier University's Faculty of Science. His research integrates constructivist and systems theories to investigate socio-moral development in children, focusing on psychological, social, and contextual factors shaping moral understanding, emotions like sympathy/guilt, and behavioral tendencies including prosociality and aggression. B.A., Louisiana State University (2006) Ph.D., Developmental Psychology, University of Rochester (2016) Current work examines longitudinal developmental trajectories of emotional regulation, moral judgments, and behavioral outcomes, with methodological expertise in intensive longitudinal data analysis. His lab website provides updates on ongoing projects: https://www.maplabresearch.com/ Recent publications demonstrate engagement with diverse topics including: Family interventions and child emotion regulation Physiological stress markers in developmental contexts Moral complexity in middle childhood Coparenting dynamics and child adjustment Autism implementation research Pandemic impacts on child development Contact: mjambon@wlu.ca | Office: N2026, Science Building, Waterloo campus
Aida Bikic serves as Associate Professor at the University of Southern Denmark within the Department of Clinical Research and Research Unit of Child and Adolescent Psychiatry (Southern Denmark), focusing on evidence-based interventions for youth mental health disorders. Her research expertise spans Attention Deficit Hyperactivity Disorder (ADHD), eating disorders, and mental health in children/adolescents, with specialization in non-pharmacological treatments. Current work emphasizes randomized controlled trials evaluating neurostimulation for ADHD and digital therapeutics like the Maze-Out serious game for eating disorders, reflecting a strong commitment to innovative, clinically feasible interventions. Recent publications demonstrate a clear trajectory toward technology-enhanced behavioral therapies, with multi-center collaborations investigating screen use impacts, stakeholder co-production models, and non-drug treatment efficacy for neurodevelopmental conditions. Her work consistently targets practical clinical applications through rigorous trial methodologies. Scientific Awards: No specific awards documented in source materials Dr. Bikic has supervised one graduate student and actively contributes to research projects including multiple clinical trials, though specific grant details remain unreported. Her academic service includes examination duties and extensive workshop participation across psychiatric institutions. As a core member of the Child and Adolescent Psychiatry Research Unit, she collaborates with multidisciplinary clinical teams to develop and evaluate novel interventions, with recent emphasis on patient-centered co-design approaches for digital therapeutics in eating disorder treatment.
Barbara Olendzki is an Associate Professor at UMass Chan Medical School within the T.H. Chan School of Medicine. Her research focuses on the impact of diet and lifestyle factors on chronic diseases such as obesity, diabetes, and cardiovascular conditions, with a specialized interest in the Anti-inflammatory Diet (IBD-AID) for inflammatory bowel disease. She has contributed to improving dietary assessment methodologies in epidemiological studies and has been a co-investigator in multiple NIH- and foundation-funded clinical trials. Academic Affiliation: UMass Chan Medical School, T.H. Chan School of Medicine Department: Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine Research Interests: Olendzki's work bridges nutritional epidemiology and clinical intervention, particularly examining how simplified dietary messages (e.g., low saturated fat, high fiber) can synergistically reduce cardiometabolic risks. Her MELODY Trial explores prenatal dietary interventions to modulate microbiome composition in Crohn's disease patients and their offspring. She also investigates neighborhood food environments' impact on diet quality and racial disparities in diabetes risk. Publication Trends: Her 15 most recent articles (2018–2024) emphasize randomized controlled trials in metabolic syndrome , IBD dietary therapy , and pediatric obesity , with methodological strengths in food frequency validation and energy intake measurement . Key subfields include cultural adaptation of diets , maternal-fetal microbiome , and community-based interventions .
Pavel Zemcik serves as a Visiting Professor in the Computational Engineering department at the School of Engineering Sciences, Lappeenranta University of Technology (LUT). His academic work spans multiple domains within computer science with a strong emphasis on visual computing technologies. Dr. Zemcik's research interests encompass a broad spectrum of visual computing disciplines, including computer graphics, computer vision, machine vision, and image processing. His work particularly focuses on light field rendering techniques, 3D display technologies, and advanced wavelet transform applications. He has made significant contributions to GPU acceleration methods for real-time visual processing and has explored applications in both industrial settings and medical imaging. Analysis of his recent publication trends reveals a concentrated research trajectory in light field technologies and 3D display systems over the past five years. His work demonstrates increasing sophistication in handling visual quality metrics, focus management, and compression techniques specifically tailored for 3D displays. The research shows strong interdisciplinary connections between computer graphics, signal processing, and human perception studies. His scholarly output demonstrates consistent productivity across multiple high-impact venues in computer graphics and computer vision. While specific grant information isn't detailed in the available materials, his publication pattern suggests sustained research funding supporting his work in visual computing technologies.
Sabrina Wong is a Professor at the UBC School of Nursing , focusing on primary health care research. She works in Vancouver, British Columbia, Canada. Contact: Phone: 1-604-827-5584 | Email: Sabrina.Wong@ubc.ca Research Interests: Sabrina Wong's work spans primary health care systems, geriatric care, health equity, and digital health innovations. She investigates team dynamics in care delivery, frailty assessment using electronic medical records, and pandemic impacts on healthcare access. Key areas include equity in clinical trial access , integrated care scalability , and virtual care implementation . Publications Trends: Recent articles focus on leveraging AI for frailty identification, optimizing medication timing for cardiovascular risk, and addressing disparities in care for racialized older adults. She also explores patient-reported outcome measures (PROMs) and their integration into primary care dashboards. Teaching & Advocacy: Sabrina contributes to nursing education and advocates for primary care research infrastructure through initiatives like the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).
