Find Academic Supervisors

• Statistical Bioinformatics
• Computational Biology
• Spatial Transcriptomics
• +4 more

Dr. Shila Ghazanfar is an Australian Research Council DECRA Fellow at the University of Sydney, Faculty of Science. She is an expert in statistical and computational analysis of spatial transcriptomics and single-cell RNA-seq data, with a focus on developing bioinformatic approaches for integrating complex biological datasets across various omics modalities. Her educational background includes: Undergraduate studies in statistics and statistical bioinformatics at The University of Sydney PhD in statistics and statistical bioinformatics at The University of Sydney Royal Society Newton International Fellowship at The University of Cambridge under Dr. John Marioni in computational biology Dr. Ghazanfar's research interests center on developing statistical bioinformatic and biomedical data science approaches for meaningful integration of complex and high-dimensional biological datasets. Her multidisciplinary expertise spans statistics, statistical bioinformatics, and computational biology, enabling her to devise strategies to jointly model processes generating diverse data sources. Her work aligns with the University of Sydney Faculty of Science Research Strengths in Complex Systems, Precision and Digital Health, and Data and Decisions. Analysis of her recent publications (2021-2025) reveals strong focus areas including spatial transcriptomics infrastructure development, single-cell data integration methodologies, and applications in cancer research and cardiovascular biology. Key trends show progression from foundational method development to increasingly sophisticated multi-modal integration approaches, with significant emphasis on creating open-source computational tools for the research community. Her scientific recognition includes: Australian Research Council DECRA Fellowship Royal Society Newton International Fellowship Dr. Ghazanfar actively mentors research students, including Angel GUAN working on melanoma immunotherapy research. Her grant portfolio demonstrates substantial research support: 2023: Statistical Bioinformatics for Single Cell, Spatial and Multiomic Biotechnologies (Faculty of Science) 2022: Defining spatiotemporal mechanisms for peripheral nerve regeneration (Partnership Collaboration Award) 2022: Multiscale data integration for single cell spatial genomics (Chan Zuckerberg Initiative) Australian Research Council DECRA for statistical approaches in spatial genomics As a member of the Charles Perkins Centre, Dr. Ghazanfar participates in interdisciplinary research addressing complex health challenges through computational biology approaches, with collaborations spanning multiple domains from basic science to clinical applications.

Chantal D. LaroseView profile

Associate Professor

• Predictive Analytics
• Data Science
• Missing Data Analysis
• +4 more

Chantal D. Larose is an Associate Professor in the Department of Mathematical Sciences at Eastern Connecticut State University. She specializes in data science, predictive analytics, and handling missing data through advanced statistical methods. Her work bridges theoretical research with practical applications in education and public health. Ph.D. in Statistics, University of Connecticut, Storrs Co-authored multiple textbooks with her father, Daniel T. Larose Dr. Larose’s research focuses on learning analytics , missing data analysis , and predictive modeling . Her work often intersects with data science and computational tools like R programming. She actively explores how incomplete data impacts uncertainty metrics and educational outcomes. Her recent publications highlight interdisciplinary trends in statistics and data science, including applications in educational data mining , decision trees , and statistical inference . These works span collaborations with experts like Dipak Dey and Ofer Harel. Scientific Awards: 2014 Student Research Competition award from the Applied Public Health Statistics section of the American Public Health Association Dr. Larose teaches statistics, data science, and sports statistics courses, emphasizing accessibility for both math-proficient and math-phobic students. She has co-authored textbooks and contributed to pedagogical resources for STEM education.

Qing WenView profile

Visiting Professor

• Ophthalmology
• Public Health
• Biomedical Sciences
• +3 more

Qing Wen is a Visiting Professor at the School of Medicine, Dentistry and Biomedical Sciences , Centre for Public Health, Queen's University Belfast. Their work spans Ophthalmology , Public Health , and Biomedical Sciences , with a focus on diabetic retinopathy , visual acuity , and medical education . Email: q.wen@qub.ac.uk ORCID: 0000-0003-4325-7829 Research interests include clinical ophthalmology , public health initiatives , and genetic factors in disease . Recent work explores anti-VEGF treatment efficacy in diabetic macular edema and innovative surgical training methods for cataract procedures. Key publications highlight visual outcome studies (2025), adjustable-spectacle interventions for children (2023), and screening program barriers for diabetic youth (2021). Collaborations extend to international institutions in the UK, USA, and beyond. Scientific recognition includes: Academic & Trainee Scholarship (HGV 2015) HSC R&D Funding (2019) Shortlisted Postdoc Citizenship Prize (2020) Trainee Award (HGV 2014) 2nd Prize for Best Poster (2013)

Alessandra SilvestriView profile

Professor

• Cosmology
• Theoretical Physics
• Dark Energy
• +3 more

Alessandra Silvestri is a Professor of Theoretical Physics at the Leiden Institute of Physics (LION) within Leiden University's Faculty of Science. Her research focuses on cosmology, particularly on testing fundamental physics through cosmological observables, with an emphasis on modified theories of gravity and dark energy dynamics. Affiliation: Leiden Institute of Physics (LION), Faculty of Science, Leiden University Research Interests: Cosmology, Modified Gravity, Dark Energy, Large-scale Structure, Gravitational Waves Cosmology Her group is actively involved in the ESA Euclid mission and has initiated a Gravitational Waves Cosmology program with GRAPPA (UvA). She leads the development of the EFTCAMB and EFTCosmoMC software for analyzing dark energy and modified gravity theories against cosmological data. Scientific Awards: ERC Consolidator Grant (2024): Putting gravity to the test on cosmological scales Notable Past Members: Matteo Martinelli, Yashar Akrami, Simone Peirone, Georgios Papadomanolakis, Francesca Gerardi, and others who have transitioned to academic or industry roles. For detailed information on her research, publications, and collaborations, visit her lab's website at the Instituut Lorentz for Theoretical Physics.

Anthony R. PisaniView profile

Professor

• Suicide Prevention
• Crisis Intervention
• Technology in Mental Health
• +3 more

Anthony R. Pisani, Ph.D., is a Professor of Psychiatry (Psychology) and Pediatrics at the University of Rochester School of Medicine and Dentistry. He serves as Academic Chief for Adult and Acute Psychiatry and is the founder of SafeSide Prevention, an evidence-based suicide prevention framework. His work spans primary care psychology, family therapy, and suicide prevention research. Education: Ph.D. in Clinical Psychology (University of Virginia, 2001) Postdoctoral Training: Suicide Prevention Research (University of Rochester, 2008-2011) Professional Licensures: Licensed Psychologist and Licensed Marriage and Family Therapist Dr. Pisani's research focuses on: Leveraging technology for suicide prevention in schools, military, and crisis settings Developing systems approaches to suicide prevention through workforce education Designing crisis interventions for high-risk populations Studying social network structures to inform prevention strategies Advancing ethical frameworks for digital data-sharing in mental health Implementing large-scale trials like ASSIP and Connect program scale-up His recent publications emphasize digital health innovations and crisis care systems. Awards include the Otto F. Thaler Teaching Development Award, Hayes Scholarship, and Phi Beta Kappa recognition. Dr. Pisani mentors NIMH suicide research fellows and contributes to national suicide prevention strategies, including the National Suicide Prevention Lifeline Training and Standards Committee. He also serves on scientific advisory boards for crisis support services.

Arturo AzcorraView profile

Professor

• Network Architectures
• Communication Protocols
• Wireless and Mobile Networks
• +5 more

Arturo Azcorra is a Full Professor at the University Carlos III of Madrid in the Telematics Engineering Department and serves as Director of the IMDEA Networks Institute . His career spans academic leadership and research in network architectures, communication protocols, and wireless technologies. Full Professor at Universidad Carlos III de Madrid (since 1998) Director of IMDEA Networks Institute (since 2006) Senior Member of IEEE Communications Society Research Interests: His work focuses on network architectures, communication protocols, wireless and mobile networks, peer-to-peer systems, and energy-efficient networking. Current projects include 5G network slicing, microsleep techniques for WiFi, and collaborative file distribution systems. Publications Trends: Recent articles address 5G network optimization, energy-efficient protocols, ad traffic filtering systems, and multicast video delivery mechanisms. His research combines theoretical modeling with practical implementations in real-world network environments. Scientific Awards: IEEE Communications Society Senior Member President of the Association for Telematics Academic Leadership: He has held significant administrative roles including Deputy Vice-Provost and Department Director at UC3M. Currently supervises the NETCOM Research Group and collaborates with IMDEA Networks .

• Health Services Research
• Health Care Quality
• Public Reporting of Medical Outcomes
• +7 more

David M Carlisle, MD, PhD, is a Professor at Charles R. Drew University of Medicine and Science, with a broad institutional role as his department is listed as "At Large." His research is supported by the NIH, including an active grant as Principal Investigator for the Research Endowment Program (2023–2028) and a prior long-term grant on faculty development and community engagement (2001–2016). His research interests lie primarily in Health Services Research , with a focus on healthcare quality, public reporting of surgical outcomes, data accuracy in clinical reporting, and disparities in end-of-life and pediatric care. He has extensively studied coronary artery bypass surgery reporting, hospice care models, and asthma outcomes in children. The trend in his publications (1998–2010) shows a consistent focus on evaluating healthcare delivery systems, particularly using administrative and clinical data to assess quality of care. His work spans general surgery, palliative care, pediatrics, and public health policy , with recurring themes of equity, data reliability, and patient-centered outcomes. While no formal awards are listed in the provided text, his sustained NIH funding and citations in policy sources reflect significant scholarly impact. He has served as Principal Investigator on major grants, indicating leadership in research and likely involvement in mentoring students and junior faculty, though no advisees are explicitly named. Dr. Carlisle has collaborated with researchers such as Daphne Calmes and Gail Washington, and his work is associated with networks in health services, palliative care, and community health. His research has been referenced in policy and widely read on platforms like Mendeley, underscoring its relevance to both academic and practical healthcare domains.

Caitlin WardView profile

Assistant Professor

• Bayesian Statistics
• Infectious Disease Modeling
• Spatio-Temporal Modeling
• +4 more

Caitlin Ward, PhD is an Assistant Professor at the University of Minnesota's Division of Biostatistics & Health Data Science. Her work bridges methodological development and interdisciplinary collaboration. Education : PhD/MSc in Biostatistics (University of Iowa), BS in Statistics (Iowa State) Methodologically, she specializes in Bayesian modeling for complex systems, particularly infectious disease dynamics , spatio-temporal analysis , and multiplex imaging data . Collaboratively, she engages with: Nursing (dementia care communication) Neuroradiology (brain tumor classification) Veterinary medicine (Mycoplasma bovis transmission) Public health (vaccine hesitancy) Education (open educational resources) Her 15 most recent publications span epidemiological modeling , healthcare communication , and machine learning applications . Key contributions include: Bayesian SEIR models for behavioral change Network analysis of care coalitions Evaluation of elderspeak communication impacts Development of open-source BayesSEIR R package Statistical methods for imperfect diagnostics Recognitions include the CANSSI Distinguished Postdoctoral Fellowship and Outstanding Teaching Assistant Award . Current projects focus on making biostatistics education more accessible through open resources.

Wolfgang GaißmaierView profile

Professor

• Judgment and decision making
• Individual differences in decision making
• Risk perception and communication
• +4 more

Prof. Dr. Wolfgang Gaißmaier is a full-time faculty member at the Department of Psychology, University of Konstanz, specializing in Social Psychology and Decision Sciences. His research explores judgment and decision-making processes under uncertainty, with particular focus on individual differences in decision strategies, risk perception and communication, medical decision-making, ecological rationality, and heuristic modeling. Current research projects include "Political Elites and Inequality: Information, Heuristics and Policy" Co-developer of the riskyrApp and FFTrees R packages for risk literacy and decision modeling Key contributor to the Collective Behaviour Cluster of Excellence at University of Konstanz His recent publications examine cognitive biases in statistical information processing, the effectiveness of visual risk communication tools, and the psychological foundations of collective behavior. He collaborates extensively with researchers across psychology, economics, and computer science, particularly with Dr. Hansjörg Neth and Dr. Helge Giese. Major contributions include: Developing computational models of decision heuristics Investigating social learning mechanisms in risk perception Advancing tools for transparent risk communication Exploring the narrative bias in health decision-making Studying group dynamics in knowledge diffusion

• Sustainable Construction
• Heritage Restoration
• Seismic Risk Management
• +4 more

José Antonio Huesca Tortosa is an Assistant Professor Doctor in the Department of Architectural Constructions at the University of Alicante , Spain. Since 2004 (with a brief interruption from 2019–2020), he has taught over 2,500 hours of official courses in Architectural Technology, Construction Materials, Quality Control, Heritage Management, and Seismic Risk Prevention. He is a member of the Architectural Restoration Research Group (GIRAUA-CICOP) and co-founder of the spin-offs Arquinversa (heritage digitization) and Sismo Edificación (seismic research and outreach). Education PhD in Materials, Structures & Soil Engineering: Sustainable Construction, University of Alicante, 2021 Master’s in Secondary Education Teaching (specialty Civil Construction & Drawing), University of Alicante, 2020 Post-graduate specialization in Digital Heritage Documentation, CSIC-Incipit, 2019 Graduate in Architectural Technology & Technical Architecture, University of Alicante, 1994–2011 Master in Building Management (Heritage Management track), University of Alicante, 2008 Research Interests His core research revolves around sustainable construction , seismic vulnerability assessment , heritage restoration , and the digitalization of built heritage through advanced surveying technologies (LiDAR, UAV photogrammetry, HBIM). He integrates geomatics, materials science, and structural engineering to develop methodologies for preventive conservation, emergency intervention, and risk mitigation in historic and contemporary buildings. Current projects focus on earthquake early-warning systems, rapid damage assessment protocols, and eco-compatible consolidation treatments for calcareous stones. Recent Publications & Trends Over the last five years he has authored 12 journal papers and 4 book chapters. The works exhibit a clear trajectory from technological innovation (LiDAR, UAV photogrammetry) to applied heritage engineering (structural health monitoring, restoration of Gothic and Renaissance buildings) and multi-hazard assessment (seismic–radon correlations). Interdisciplinary collaboration is a hallmark, with studies spanning from archaeological sites in Italy and Spain to real-time seismic monitoring networks in southeastern Spain. Scientific Awards & Recognition One six-year research period (sexenio) accredited by ANECA Two five-year teaching periods (quinquenios) recognized by University of Alicante Coordinator or collaborator in 15 competitive research projects funded by Spanish Ministries and regional governments Grants, Projects & Advising He has participated in 15 publicly funded R&D projects (PID, CGL, ARQ, GV programs) and 36 private contracts, coordinating 4 technology-transfer actions since 2023. Notable projects include the European Seismological Commission studies on radon-seismicity correlations and the development of an earthquake early-warning system for Alicante province. He has supervised or co-supervised 27 bachelor’s and master’s theses in the last five years, fostering student involvement in heritage digitization and seismic risk scenarios. Labs & Teams He operates within the Architectural Restoration Research Group (GIRAUA-CICOP) , leveraging the University of Alicante’s Geomatics & Heritage Conservation Laboratory . The group maintains high-precision terrestrial and aerial laser scanners, UAV platforms, and advanced materials testing equipment, enabling integrated workflows from field data capture to structural modeling and conservation treatment design.

Dominik LieblView profile

Professor

• Functional Data Analysis
• Nonparametric Statistics
• Econometrics
• +3 more

Dominik Liebl is a Professor of Statistics at the University of Bonn's Department of Economics and a member of the Hausdorff Center for Mathematics (HCM), a Cluster of Excellence funded by the German Science Foundation (DFG). He also holds a visiting associate position at Colorado State University's Department of Statistics. His research spans Functional Data Analysis , Nonparametric Statistics , and Longitudinal Data Analysis , with applications in energy economics, finance, e-commerce, emotion psychology, and biomechanics. Recent methodological work focuses on simultaneous inference and statistical fairness . The articles in his profile demonstrate a strong emphasis on functional data methodologies applied to diverse domains like COVID-19 seroprevalence , electricity markets , and human movement science . Key subfields include confidence band design , biomechanical hypothesis testing , and high-dimensional econometric modeling . He actively contributes to open science through R-packages at CRAN/GitHub and serves as Associate Editor for the Journal of the Royal Statistical Society: Series C.

• Environmental Economics
• Transport Economics
• Macroeconomics
• +3 more

Jesús Rodríguez López serves as Professor in the Department of Economics, Quantitative Methods and Economic History at the Universidad Pablo de Olavide, where he contributes to the Doctoral Program in Quantitative Methods for Management and operates within the PAIDI Social and Legal Sciences framework. He earned his doctorate from the Universidad Pablo de Olavide in 2003 with the thesis "A theory of target zones," supervised by Dr. Hugo Rodríguez Mendizábal and Dr. José Mª O'Kean Alonso. This foundational work established his expertise in exchange rate regimes and macroeconomic policy. Professor Rodríguez López's research program centers on Environmental and Transport Economics, with extensive empirical work on European road transport emissions, fuel taxation impacts, and road safety policies. His macroeconomic scholarship examines business cycles, economic growth, and productivity dynamics, while maintaining active contributions to International Economics through exchange rate regime analysis. His methodological approach consistently employs advanced econometric techniques and dynamic panel data modeling. Analysis of his publication trajectory reveals a decisive shift toward environmental transport economics since 2015, with 60% of recent work focusing on CO₂ emissions, dieselization effects, and road safety systems. This environmental focus coexists with sustained macroeconomic research on business cycle accounting and technological productivity sources, demonstrating remarkable interdisciplinary range within applied economic analysis. He actively participates in the "APPLIED ECONOMIC ANALYSIS" research group, which provides the institutional framework for his empirical investigations into policy-relevant economic questions using quantitative methodologies.

Katherine T. MillsView profile

Associate Professor

• Cardiovascular Disease Epidemiology
• Renal Disease Epidemiology
• Implementation Science
• +5 more

Katherine T. Mills is an Associate Professor in the Epidemiology Department at Tulane University's School of Public Health and Tropical Medicine. Her research focuses on cardiovascular and renal disease epidemiology, implementation science, and health disparities, with particular emphasis on blood pressure control interventions and chronic kidney disease. Dr. Mills received her PhD in Epidemiology from Tulane University, completed a postdoctoral fellowship in cardiovascular disease epidemiology at Johns Hopkins University, earned an MSPH in Epidemiology from the University of North Carolina at Chapel Hill, and completed her undergraduate studies in Chemistry at Colorado College. Her research program spans multiple domains of public health and clinical epidemiology. Dr. Mills has established herself as a leader in studies examining the relationship between cardiovascular disease, kidney function, and health disparities. She has conducted extensive research on implementation science approaches to improve blood pressure control, particularly in underserved populations. Her work also investigates health outcomes in chronic kidney disease patients, including progression to end-stage renal disease, cardiovascular events, and mortality. Through her research, Dr. Mills has contributed significantly to understanding how social determinants of health impact cardiovascular outcomes and how community-based interventions can reduce health disparities. She has been particularly active in engaging Black churches as venues for cardiovascular health interventions. Analysis of Dr. Mills' recent publications reveals a strong focus on cardiovascular epidemiology, kidney disease outcomes, and implementation science for hypertension control. Her work frequently employs advanced statistical methods and large cohort studies, particularly the Chronic Renal Insufficiency Cohort (CRIC) study. She has published extensively on topics including blood pressure management, kidney disease progression, cardiovascular risk factors, and health disparities in minority populations. Her research often examines the intersection of social determinants of health with clinical outcomes. Dr. Mills has received numerous scientific awards including: 2020: Outstanding Achievement in Receiving Your First R01 Award 2018: Young Investigator Travel Award, NIH, NIGMS Seventh Biennial National IdeA Symposium of Biomedical Research Excellence (NISBRE) 2017: Sandra A. Daugherty Award for Excellence in Cardiovascular Disease for Hypertension Epidemiology, American Heart Association Council on Epidemiology and Prevention 2016: Award for Excellence in Research and Presentation by a Postdoctoral Fellow, Health Sciences Research Days, Tulane University 2015-2016: NIH/NHLBI T32 Cardiovascular Disease Epidemiology Training Program, Johns Hopkins University 2014: Dorothy R. LeBlanc Memorial Scholarship Award, Tulane University 2010-2012: Dean's Research Council Scholarship, Tulane University Dr. Mills has secured significant NIH funding for her research on blood pressure control interventions and health disparities. She has mentored numerous students and collaborated extensively with interdisciplinary teams across Tulane and other institutions. Her work on church-based interventions for cardiovascular health has been particularly influential in addressing racial health disparities. She has developed and tested multicomponent implementation strategies that engage community health workers and faith-based organizations to improve blood pressure control in low-income communities. Dr. Mills is actively engaged with the Chronic Renal Insufficiency Cohort (CRIC) study and has led multiple analyses examining cardiovascular outcomes in patients with chronic kidney disease. She collaborates with interdisciplinary teams including nephrologists, cardiologists, biostatisticians, and community health workers to address complex questions in cardiovascular and kidney disease epidemiology. Her current research focuses on identifying which populations benefit most from intensive blood pressure interventions and how social determinants of health influence treatment effectiveness.

Dionissios T. HristopulosView profile

Professor

• Geostatistics
• Spatial Random Fields
• Spartan Spatial Random Fields
• +15 more

Dionissios T. Hristopulos is a Professor and Head of the Geostatistics Laboratory at the School of Mineral Resources Engineering, Technical University of Crete, Greece. His research spans geostatistics, spatial random fields, environmental modeling, stochastic hydrology, and porous media mechanics. He has developed innovative Spartan Spatial Random Field (SSRF) models rooted in statistical physics, enabling efficient spatial interpolation and simulation. PhD in Physics, Princeton University (1991) MA in Physics, Princeton University (1988) Diploma in Electrical Engineering, National Technical University of Athens (1985) Hristopulos' research interests focus on the development and application of geostatistical methods in mineral resources, environmental monitoring, petroleum reservoirs, and GIS. He investigates spatial anisotropy, groundwater dynamics, earthquake return times, and the mechanical properties of heterogeneous materials. His work bridges statistical physics and geostatistics, particularly through SSRF models and renormalization group methods for upscaling transport properties in porous media. The most recent publications highlight his focus on geometric anisotropy detection in environmental data, non-parametric estimation methods, and applications of Spartan random fields in environmental time series and spatial data interpolation. His work increasingly integrates machine learning concepts with geostatistical modeling, especially for automatic mapping and ecological monitoring using remote sensing. Marie Curie success story (European Commission, 2010) for SPATSTAT project Hristopulos has secured research funding from national and EU programs, including the Marie Curie Transfer of Knowledge (SPATSTAT) and the INTAMAP STREP project. He has mentored several Master’s and PhD students, including Manos Varouchakis (PhD candidate on groundwater monitoring) and Manolis Petrakis (Master’s on anisotropy characterization). He collaborates with researchers in the US, France, Slovakia, and the UK. He serves on the editorial board of Stochastic Environmental Research and Risk Assessment and has contributed software tools for anisotropy detection in MATLAB and R. His research group, the Geostatistics Laboratory at TUC, focuses on machine learning and geostatistics, developing computational tools for environmental data analysis, spatial interpolation, and simulation. The lab emphasizes practical applications in hydrology, ecology, and mineral resources, supported by strong theoretical foundations in statistical physics and stochastic modeling.

Benjamin S. BaumerView profile

Professor

• Data Science
• Sports Analytics
• Network Science
• +5 more

Benjamin S. Baumer is a Professor in the Statistical & Data Sciences program at Smith College , where he has been teaching since 2012. He previously served as the first full-time Statistical Analyst for the New York Mets from 2004 to 2012, pioneering data-driven approaches in baseball operations. Education: Ph.D. in Mathematics, The Graduate Center of the City University of New York (2012) M.A. in Mathematics, University of California, San Diego B.A. in Mathematics, Wesleyan University His research spans multiple domains: Sports Analytics (sabermetrics, player evaluation, game simulation) Data Science Education (curriculum development, reproducible analysis tools) Network Science (graph theory, complex systems) Statistical Computing (R programming, tidyverse workflows) Recent publications highlight: Advancements in reproducible analysis (infer package, 'Fertile' framework) Educational innovations in team-based data science and ethics integration Tools for election data (fec16 package) and collaborative learning (Slack applications) Scientific Recognition: 2016 Contemporary Baseball Analysis Award (SABR) 2019 Waller Education Award (ASA) 2019 Significant Contributor Award (ASA Section on Statistics in Sports) Accredited Professional Statistician™ since 2014 (American Statistical Association) He co-organizes the annual ASA Five College DataFest and contributes to expanding data science pathways for community college students.