جست‌وجوی استاد و پژوهشگر

• Acute Myeloid Leukemia
• Graft-versus-Host Disease
• Hematopoietic Stem Cell Transplantation
• +۶ مورد دیگر

Dr. Sameem Abedin is an Associate Professor in the Department of Medicine, Division of Hematology and Oncology at the Medical College of Wisconsin. He serves as Medical Director of the Inpatient Translational Research Unit and previously directed the Adult Early Phase Program in Hematologic Malignancies. Dr. Abedin completed his medical training at Sidney Kimmel Medical College, residency at the University of Pittsburgh, and fellowship in Hematology/Oncology at Northwestern University. Dr. Abedin's research focuses on acute myeloid leukemia therapeutics and graft-versus-host disease management. His laboratory work investigates novel therapeutic approaches for relapsed/refractory AML, including CDK9 inhibitors and antibody-drug conjugates, while his clinical research examines GVHD prophylaxis strategies and transplantation outcomes. His recent publications demonstrate expertise in translating laboratory findings to clinical applications for hematologic malignancy patients. Analysis of Dr. Abedin's 15 most recent publications (2024-2025) reveals a strong focus on therapeutic innovation in AML and GVHD management. His work spans from early-phase clinical trials of novel agents to comparative effectiveness research and practice-changing supportive care strategies. The publications demonstrate methodological diversity including randomized trials, cohort studies, and systematic reviews across high-impact hematology journals. Hobart Amory Hare Medical Honor Society (2008-2009) Foerderer Award for International Study (2009) ASBMT Clinical Research Scholar (2016) CTSI Clinical Research Scholar (2017-2019) Faculty Development Award, Medical College of Wisconsin (2018-2019) Top Patient Experience Award, Froedtert Hospital (2019) Dr. Abedin actively mentors medical students, residents, and fellows, with several mentees presenting at national meetings and publishing in peer-reviewed journals. His research program is supported by multiple industry-sponsored clinical trials where he serves as Principal Investigator, including studies of Lintuzumab-Ac225 for AML and Neihulizumab for GVHD. As Medical Director of the Inpatient Translational Research Unit, he oversees the infrastructure for early-phase clinical trials requiring coordinated inpatient care, facilitating the rapid growth of the institution's clinical trial portfolio.

Ahmed Bou-Rabeeمشاهده پروفایل

پژوهشگر

• Probability Theory
• Partial Differential Equations
• Stochastic Homogenization
• +۵ مورد دیگر

Dr. Ahmed Bou-Rabee is an NSF Postdoctoral Fellow and Courant Instructor at the Courant Institute of Mathematical Sciences, New York University, sponsored by Scott Armstrong. Previously, he served as a postdoc at Cornell University under Lionel Levine and earned his PhD in Mathematics from the University of Chicago (2022), advised by Charles K. Smart. He holds a B.S. in Mathematics and an M.S. in Statistics from Stanford University. His research focuses on probability theory, partial differential equations, and their interplay with statistical mechanics, particularly stochastic homogenization, the Abelian sandpile model, and Liouville quantum gravity. Dr. Bou-Rabee has presented at leading institutions including ETH Zurich, University of Toronto, UCLA, and the Institute for Advanced Study. His work bridges discrete and continuous models, with contributions to random walks on graphs, harmonic functions on percolation clusters, and scaling limits in random planar maps. He is an NSF Postdoctoral Fellow and has developed open-source tools for studying sandpile dynamics and matrix methods. Education: PhD (Mathematics), University of Chicago (2022); M.S. (Statistics), Stanford University (20XX); B.S. (Mathematics), Stanford University (20XX) Awards: NSF Postdoctoral Fellowship Teaching: Taught courses at NYU (Ordinary Differential Equations, Analysis, Discrete Mathematics) and served as a teaching assistant at the University of Chicago and Stanford. His research explores critical phenomena in stochastic systems, including superdiffusive limits, rigidity of harmonic functions, and universality in random matrix models. Ongoing projects investigate implications for Anderson localization and higher-dimensional Ising models.

• Maternal and Child Health
• Postpartum Depression
• Breastfeeding and Nutrition
• +۵ مورد دیگر

Jennifer Hahn is an Associate Professor in the Department of Psychological Sciences at the University of California Merced. Her research focuses on maternal and child health, with a particular emphasis on postpartum depression, breastfeeding practices, nutritional influences on psychological outcomes, and developmental psychobiology. She employs interdisciplinary approaches combining clinical studies, epidemiological analyses, and experimental interventions. Key research themes include the interplay between stress, nutrition, and mental health across the perinatal period. Her work also explores how prenatal and postnatal environmental factors (e.g., maternal cortisol levels, vitamin D status) influence child development and family dynamics. Notable contributions include large-scale meta-analyses examining cross-national postpartum depression predictors and randomized controlled trials evaluating infant carrier interventions for maternal mental health. Dr. Hahn has extensively studied human milk composition, its neuroendocrine correlates (e.g., oxytocin), and implications for child temperament and maternal sensitivity. Her recent work addresses the societal impacts of pandemics on infant feeding practices and maternal well-being, with a focus on marginalized populations. Her research is funded by grants focusing on translational public health interventions, maternal-child nutrition, and evolutionary perspectives in psychopathology. Collaborations span developmental psychology, nutritional epidemiology, and clinical science.

Jochen REBمشاهده پروفایل

استاد

• Mindfulness in Organizations
• Decision Making
• Leadership
• +۴ مورد دیگر

Jochen REB serves as the Lee Kong Chian Professor of Organisational Behaviour & Human Resources at Singapore Management University's Lee Kong Chian School of Business, where he also directs the Mindfulness Initiative since 2014. His academic progression at SMU spans from Associate Professor (2009-2021) to Professor (2021-2025) and finally to his current endowed Chair position (2025-present), reflecting sustained scholarly impact in organizational behavior. His educational foundation includes a Ph.D. in Management from the University of Arizona (2005) and a Master's in Business Management from Berlin University of Technology (2000), establishing interdisciplinary expertise bridging cognitive psychology and management science. REB's research pioneers mindfulness applications in organizational contexts, examining how mindful awareness transforms leadership effectiveness, decision quality, and employee well-being. His work demonstrates that mindfulness training reduces burnout by reshaping perceptions of job demands while enhancing negotiation cooperation and entrepreneurial resilience. Current investigations extend to sustainable business practices, including chemical recycling adoption in megacities and mindfulness-based strategic awareness training for non-clinical populations. His publication trajectory reveals increasing interdisciplinary integration, connecting organizational behavior with environmental sustainability, positive psychology, and computational methods. Recent work applies fast-and-frugal heuristics to managerial decision-making while developing holistic mindfulness frameworks for business education and systems change. Scientific recognition includes: Lee Kong Chian Fellow at SMU (2020, 2024) Rupe Chisolm Award for Best Theory-to-Practice Paper (Academy of Management, 2018) Outstanding Reviewer for Academy of Management Discoveries (2018) As mentor, REB guides doctoral researchers like G. Maistry and E. K. Peters in mindfulness-intervention studies, while leading the Mindfulness Initiative to develop evidence-based organizational training programs. His directorship focuses on translating mindfulness science into practical leadership tools through field experiments and longitudinal assessments. The Mindfulness Initiative functions as SMU's central hub for organizational mindfulness research, conducting randomized field trials on leadership training effectiveness while building corporate partnerships for real-world implementation across Singaporean enterprises.

Peter Varjuمشاهده پروفایل

استاد

• Analysis
• Combinatorics
• Number Theory

Professor Peter Varju is a faculty member at the University of Cambridge within the Department of Pure Mathematics and Mathematical Statistics . His research spans Analysis , Combinatorics , and Number Theory , with a focus on mathematical structures in dynamical systems and probabilistic models. Academic Rank: Professor Department: Pure Mathematics and Mathematical Statistics Research Group: Combinatorics Contact: P.Varju@dpmms.cam.ac.uk His research explores: Analysis : Fourier decay, self-similar measures, Bernoulli convolutions, and harmonic properties of measures. Combinatorics : Random walks, nilspaces, and mixing time phenomena in finite settings. Number Theory : Multiplicative groups in finite fields, Lehmer's conjecture, and Diophantine properties. Recent publications highlight trends in: Self-similar structures and their spectral properties. Interplay between dynamics on nilmanifolds and combinatorial algebra. Probabilistic methods in algebraic and geometric contexts. Applications of Fourier analysis to measure theory and fractals. Exponential growth in linear groups and irreducibility of polynomials. He is affiliated with the Combinatorics research group at DPMMS and leads investigations into mathematical structures with implications across pure and applied fields.

Jonathan Sinclairمشاهده پروفایل

دانشیار

• Sport Exercise Sciences
• Nutritional Sciences
• Public Health
• +۳ مورد دیگر

Dr. Jonathan Sinclair is a Reader at the University of Central Lancashire (UCLan), based in the School of Health, Social Work and Sport. He serves as Course Leader for the MSc in Sport & Exercise Sciences and the MSc Nutrition and Exercise Sciences. His research focuses on Sport Exercise & Nutritional Sciences, with a strong emphasis on applied health outcomes, biomechanical analysis, and clinical trials. He is part of the SENS (Sport, Exercise & Nutrition Sciences) consultancy service, offering expert advice on sport science and public health interventions. Research Interests: Cardiometabolic health, sports injury prevention, biofortification in nutrition, and ergonomics of sport equipment. Key Contributions: Over 200 peer-reviewed publications, including studies on peppermint oil for hypertension, zinc biofortification in Pakistan, and footwear biomechanics. Recent work explores the impact of vibrational exercise on Crohn’s disease and the efficacy of tart cherry juice in inflammatory bowel disease management. He collaborates internationally on projects addressing global nutrition challenges and equine biomechanics. Dr. Sinclair’s expertise spans clinical trials, musculoskeletal modeling, and public health initiatives.

Sayan Banerjeeمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Processes
• Interacting Particle Systems
• +۹ مورد دیگر

Sayan Banerjee is an Associate Professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill, within the College of Arts and Sciences. His research lies at the intersection of probability theory, stochastic processes, and network science, with applications in operations research and statistical physics. Research Interests: His work focuses on interacting particle systems, ergodicity of diffusions, stochastic networks, probabilistic couplings, and dynamic random graphs. He also investigates random walks in random environments, random matrices, and network sampling and ranking algorithms. These areas reflect a deep engagement with both theoretical probability and its real-world applications in complex systems. Recent Publication Trends: His recent articles (2023–2025) reveal a strong focus on the analysis of infinite particle systems (e.g., Atlas models), dynamic network evolution under various delay regimes, convergence properties of machine learning algorithms like Stein Variational Gradient Descent, and structural properties of random graphs. The keywords span probability, operations research, network science, and computational statistics, indicating interdisciplinary impact. Subfields include rank-based diffusions, local weak convergence, load balancing, flocking dynamics, and network centrality. Scientific Awards: NSF CAREER Award (DMS-2141621) Grants and Advising: He is the principal investigator on the NSF CAREER award DMS-2141621 and a co-PI on the NSF RTG grant DMS-2134107, supporting research training in probability and stochastic processes. While no formal list of students is provided, his role as a Ph.D.-granting faculty member in a top statistics department implies active graduate student mentorship. His prior postdoctoral fellowship at the University of Warwick under Prof. Wilfrid Kendall highlights strong international collaboration. Laboratories and Research Teams: Though no named lab is mentioned, his extensive collaborative network—including researchers like A. Budhiraja, S. Bhamidi, P. Dey, and M. Olvera-Cravioto—indicates leadership in a vibrant research group focused on stochastic modeling and network analysis at UNC.

• Aviation Network Development
• Airport Connectivity
• Transportation Logistics and Supply Chains
• +۷ مورد دیگر

Tommy Cheung is a Senior Lecturer and Department Chair in the Department of Aviation, School of Engineering at Swinburne University of Technology, Australia. His research focuses on aviation network development, global airport connectivity, blockchain applications in air travel, and data-driven route planning. He holds a PhD in Computer Engineering from the University of New South Wales, Sydney, and has prior academic experience at Hang Seng University of Hong Kong and the Hong Kong University of Science and Technology. PhD in Computer Engineering, University of New South Wales, Sydney, Australia Former Assistant Professor, Hang Seng University of Hong Kong (2014–2018) Former academic, HKUST, Department of Electrical and Electronic Engineering 12+ years in advanced manufacturing and supply chain management in Hong Kong and Shenzhen Dr. Cheung's research interests span aviation network resilience, airport connectivity indices, smart technologies in air travel, and sustainable aviation. He investigates how global disruptions like pandemics and geopolitical conflicts affect air transport systems. His work integrates machine learning, Bayesian modeling, and spatial econometrics to analyze aviation networks and optimize operations. His recent publications reveal a strong trend in applying data analytics and AI to aviation policy, route planning, and service quality. Topics include flight delay forecasting, blockchain integration, self-connection optimization, and pilot remuneration. His work often involves large-scale datasets and interdisciplinary methods, contributing significantly to air transport policy and network modeling. Dr. Cheung has secured industry research funding, including a major grant from Textron Systems Australia for the Regional AAM Surrogate Trial. He actively supervises PhD and Master’s students on topics such as hydrogen in aviation, pilot fatigue monitoring, and advanced air mobility. His leadership extends to curriculum and departmental strategy as Chair of Aviation. He is involved in several research teams and collaborations, particularly in intelligent transportation systems and aviation innovation. His lab and project work integrate UAVs, IoT, and AI for infrastructure-less environments, contributing to next-generation mobility solutions.

• Orthopaedic Surgery
• Biomechanics
• Joint Replacement
• +۱۰ مورد دیگر

Professor David Murray is a leading academic and clinician in orthopaedic surgery at the University of Oxford , affiliated with the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) within the Medical Sciences Division . He is also a Consultant Orthopaedic Surgeon at the Nuffield Orthopaedic Centre, where he specializes in knee and hip joint replacements and leads a multidisciplinary research team. His educational background is highly interdisciplinary: he earned a degree in Engineering Science from Cambridge University , winning the Wright Prize , and later qualified in medicine, training at Cambridge, London, and Oxford. He is a Fellow of the Royal College of Surgeons (FRCS) and holds a Doctorate (MD) from Cambridge. MA, University of Cambridge MD, University of Cambridge FRCS (Orth), Royal College of Surgeons of England Professor Murray’s research bridges clinical orthopaedics and engineering, with a strong focus on knee and hip arthroplasty . His team has pioneered the development of the Oxford Partial Knee , a mobile-bearing implant used worldwide. His work integrates biomechanical studies (using gait analysis, computer modelling, and X-ray techniques) with clinical trials and patient-reported outcome measures . His group runs the Knee Arthroplasty Trial (KAT) , the largest multicentre randomized study of knee replacements in the UK. His recent publications demonstrate sustained innovation across orthopaedic biomechanics, implant design, AI in radiology, and clinical outcomes. Themes include mobile-bearing implants , minimally invasive techniques , finite element analysis , and machine learning for surgical assessment. The breadth of his work spans engineering, clinical medicine, and data science. His contributions have been recognized with prestigious awards: British Research Society Prize European Research Society Prize Professor Murray leads a research group that collaborates with the Department of Engineering Science and Professor Ray Fitzpatrick’s team in the Institute of Health Sciences. His team has contributed to national audits of hip replacements and continues to shape best practices in joint surgery. He has secured significant research funding to support large-scale trials and biomechanical studies, advancing both surgical techniques and implant longevity. His laboratory and clinical team, known as the Oxford Orthopaedic Engineering Centre , integrates engineering principles with surgical innovation. The group is involved in multiple studies including UTMoSt , SPAARK , and KAT , focusing on improving implant performance, surgical precision, and patient recovery.

Aravind Srinivasanمشاهده پروفایل

استاد

• Algorithms
• Probabilistic Methods
• Data Science
• +۱۰ مورد دیگر

Aravind Srinivasan is a Distinguished University Professor and Professor of Computer Science at the University of Maryland, College Park, with additional appointments in UMIACS (University of Maryland Institute for Advanced Computer Studies) and AMSC (Applied Mathematics & Scientific Computation). He is an Amazon Scholar since 2019, applying his expertise in algorithms to cloud computing challenges at AWS. Dr. Srinivasan earned his B.Tech in Computer Science & Engineering from IIT Madras (1989) under Prof. C. Pandu Rangan, followed by a Ph.D. in Computer Science from Cornell University (1993) under Prof. David B. Shmoys. He completed postdoctoral work at the Institute for Advanced Study (Princeton) and DIMACS (Rutgers) from 1993-94. His research spans algorithms, probabilistic methods, data science, network science, and machine learning , with applications across multiple domains. He has pioneered work at the intersection of algorithms and AI, focusing on interpretability and explainability. His research in health includes computational epidemiology, cancer genomics, pharmacology, organ exchange, and medical devices. In the Internet economy, he works on E-commerce, digital marketing, cloud optimization, crowdsourcing, and social networks. He is a leading researcher in algorithmic fairness, developing methods to systematically incorporate probabilistic, per-user/demographic fairness in AI systems. His work also extends to networking algorithms, distributed computing, and sustainable growth applications including energy networks. His recent publications reveal a strong trend toward integrating algorithmic fairness with practical applications in healthcare, resource allocation, and sustainability. The research shows increasing focus on probabilistic methods for fair decision-making in online environments, with applications ranging from kidney exchange programs to pandemic response planning. His work consistently bridges theoretical computer science with real-world impact. Professional Recognition: Elected Fellow of six professional societies: ACM, IEEE, AMS, AAAS, EATCS, and SIAM Member of Academia Europaea (the Academy of Europe) Distinguished University Professor of the University of Maryland (2020) Dijkstra Prize, Danny Lewin Award, and Distinguished Career Award in Computer Science Dr. Srinivasan has advised an extensive portfolio of students at all levels, from high school to postdoctoral researchers. His current PhD students include Sharmila Duppala, Kishen Gowda, and Sanna Madan (co-advised with Eytan Ruppin). His graduated PhD students have gone on to faculty positions (Brian Brubach at Wellesley, Bo Han at George Mason), industry leadership roles (Tom DuBois as CTO of Maven/Salesforce), and research positions at major tech companies. His research has been funded by Adobe, Amazon, Google, NSF, IARPA, and other government agencies, focusing on applications in cloud computing, epidemiology, and fair resource allocation. He serves as Associate Editor for ACM Transactions on Algorithms and previously served as Editor-in-Chief (2014-2020), and as Managing Editor of Theory of Computing (2006-2019).

• Mathematical Biology
• Mechanobiology
• Biological Physics
• +۷ مورد دیگر

Dr Pascal Buenzli is an Associate Professor in Mathematical Biology at the School of Mathematical Sciences, Faculty of Science, Queensland University of Technology (QUT). He has been a faculty member at QUT since 2017, progressing from Lecturer to Associate Professor by 2024. He was previously a Lecturer at Monash University and a Research Assistant Professor at The University of Western Australia. He was awarded an ARC DECRA Fellowship from 2013 to 2017, highlighting his research excellence. Education: PhD in Theoretical Physics (with distinction), École Polytechnique Fédérale de Lausanne (EPFL) MSc (Dipl. Phys. ETH), Swiss Federal Institute of Technology Zurich (ETH Zurich) His research lies at the intersection of applied mathematics and biological systems, with a focus on mathematical modeling of tissue growth and remodeling. His work particularly emphasizes mechanobiology, stochastic processes, and the role of physical constraints such as curvature in cell and tissue behavior. He employs computational and theoretical frameworks to interpret experimental data and uncover underlying biological mechanisms. The recent publications highlight a strong trend in modeling tissue dynamics, particularly in curved and confined geometries, bone remodeling, and the integration of data-driven methods like equation learning with traditional modeling. His work spans reaction-diffusion systems, discrete-to-continuum modeling, and applications in tissue engineering and regenerative medicine. Scientific Awards: ARC DECRA Fellow (2013–2017) Dr Buenzli actively supervises PhD students in areas such as bone mechanobiology, equation learning, and tissue modeling. He has secured competitive research funding, including the ARC DECRA. He teaches undergraduate courses in engineering mathematics and advanced calculus. He is a member of several professional societies, including the Australian Mathematical Society, ANZIAM, MBSIG, ESB, and ISB. He leads the Mathematics in Medicine research group at QUT, focusing on tissue growth and biomedical engineering applications.

Lars Edvin Bruمشاهده پروفایل

استاد

• Educational Psychology
• Social and Emotional Competence in Education
• Teacher-Student Relationships
• +۳ مورد دیگر

Lars Edvin Bru is a Professor in Educational Psychology at the Centre for Learning Environment , University of Stavanger. His research focuses on the interplay between social-emotional competencies , academic engagement , and mental health in educational settings . He has led randomized controlled trials (RCTs) on interventions promoting student well-being, including stress management and anti-bullying programs. His work emphasizes teacher support as a critical factor in shaping students' growth mindset , emotional well-being , and academic outcomes . He has extensively studied the psychosocial learning environment , motivational climates , and barriers to educational attainment , particularly among vulnerable populations such as first-generation immigrants and students with learning difficulties . Key research trends from his publications include: Longitudinal analysis of social-emotional learning and academic performance Impact of teacher-student relationships on student retention Interventions for stress reduction and emotional regulation in schools Interdisciplinary studies linking education , health psychology , and chronic disease management Bru collaborates on projects involving multidisciplinary educational consultation and simulation training for healthcare professionals. He has contributed to understanding treatment burden in chronic conditions like heart failure and breast cancer , highlighting the role of support systems in both educational and clinical contexts.

Xavier Goaocمشاهده پروفایل

استاد

• Computational Geometry
• Discrete Mathematics
• Combinatorial Convexity
• +۵ مورد دیگر

Xavier Goaoc is a Professor of Computer Science at Université de Lorraine, affiliated with the Department of Computer Science & Engineering at École des Mines de Nancy and the Gamble research team (joint between LORIA and INRIA). His research focuses on algorithms and discrete mathematics, particularly discrete and computational geometry, including convex hulls, intersection patterns, topological generalizations, and geometric transversal theory. University: Université de Lorraine School: School of Engineering Department: Department of Computer Science & Engineering Research Team: Gamble (LORIA/INRIA) Emails: xavier.goaoc@loria.fr , xavier.goaoc@univ-lorraine.fr His research spans computational geometry, combinatorial convexity, geometric transversal theory, and random geometric structures. Key topics include homological minors, order types of point sets, and geometric optimization. His 15 most recent publications highlight advancements in computational geometry algorithms, structural complexity, and topological constraints. Notably, his work has received Best Paper Awards at SoCG 2020, 2018, 2016, and 2012. Administrative roles include heading the computer science & engineering department at Mines Nancy and co-chairing the computer science department of the IAEM doctoral school. He is also a member of the Université de Lorraine's ‘pôle AM2I’ council. Teaching activities encompass courses in algorithms, computer architecture, blockchains, and geometric models for vision, with publications and grants reflecting his interdisciplinary impact in computer science and mathematics.

Tom Albertsمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Analysis
• 2D Conformally Invariant Systems
• +۴ مورد دیگر

Tom Alberts is an Associate Professor in the Department of Mathematics at the University of Utah, where he has been a faculty member since 2013, achieving the rank of Associate Professor in 2020. His research focuses on probability theory, particularly two-dimensional conformally invariant systems and Schramm-Loewner Evolution (SLE). His educational background includes: PhD in Mathematics (2008) from the Courant Institute of Mathematical Sciences at New York University BS in Mathematics (2002) from the University of Alberta Professor Alberts' research spans multiple areas within probability theory and statistical mechanics. His primary focus is on two-dimensional conformally invariant systems, which can be understood as the natural extension of one-dimensional random paths to two-dimensional random surfaces. This work has potential applications across various fields including physics, finance, and artificial intelligence. He also maintains active research in statistical mechanics, random walks in random environments, directed polymer models, last passage percolation, and random matrix theory. His work often bridges theoretical mathematics with physical applications, demonstrating how abstract probability concepts can illuminate real-world phenomena. His recent publications (2022-2025) demonstrate a sophisticated evolution of his research program, moving from foundational work on SLE boundary behavior to more complex explorations of conformal field theory in multiply connected domains. The trajectory shows increasing mathematical sophistication while maintaining connections to physical systems. His work on directed polymers and last passage percolation reveals deep connections to the Kardar-Parisi-Zhang universality class, which describes interface growth in diverse physical systems. Professor Alberts has presented his research at prestigious venues including the Fields Institute, Mathematical Sciences Research Institute, Institut Mittag-Leffler, and Korean Institute of Advanced Study. His recent talks have focused on conformal field theory in multiply connected domains and the interplay between random geometry and conformal field theory, indicating where his research program is heading. His ORCID identifier is 0000-0002-1696-853X, reflecting his established scholarly presence.

David Wartonمشاهده پروفایل

استاد

• Ecological Statistics
• Multivariate Analysis
• High-Dimensional Data Analysis
• +۴ مورد دیگر

Professor David Warton, based at the School of Mathematics & Statistics, University of New South Wales, is a leading ecological statistician advancing data analysis methods in ecology. He leads the Eco-Stats group, which has secured over $9M in ARC funding, and founded Stats Central, the UNSW statistical consulting unit. His cross-disciplinary work spans methodological development for multivariate analysis, species distribution modeling, and ecological theory. Key research areas include: Multivariate abundance data analysis Species distribution modeling with point processes High-dimensional statistical methods in community ecology Machine learning applications in ecological contexts Model selection and error-in-variables regression Recent publications (2023-2025) focus on spatiotemporal modeling, computational innovations for ecological data, and clinical applications of statistical methods. His work emphasizes bridging statistical theory with real-world ecological challenges, particularly in biodiversity and climate change impacts. Scientific awards include the Christopher Heyde Medal (2014), Fellow of the Royal Society of NSW (2020), and recognition as a Highly Cited Researcher (2019-22). He actively supervises students in ecological statistics and machine learning applications.