Find Academic Supervisors

Vivek AgarwalView profile

Lecturer

• Geospatial Engineering
• Land Subsidence
• Groundwater Hydrology
• +2 more

Vivek Agarwal is a Lecturer in Civil Engineering at Northumbria University, specializing in Geospatial Environmental Engineering. His research utilizes remote sensing and GIS techniques to investigate groundwater dynamics, land subsidence, and hydrological extremes. He applies advanced geospatial methods to address environmental challenges in water resource management. Education includes a PhD in Civil Engineering from the University of Nottingham (2021) and an M.Tech in Geomatics Engineering from IIT Roorkee (2016). His doctoral research developed geospatial methods for groundwater analysis. Research focuses on integrated water resources assessment, drought monitoring using multi-index approaches, and contaminant transport in groundwater systems. Current projects examine PFAS isomer behavior in water systems, multi-index drought assessment in arid regions, and sustainable irrigation strategies. Dr. Agarwal has received recognition including the Harris Spotlight Award and Young Researcher Award. His work combines field measurements with InSAR, GRACE, and optical remote sensing data.

Matthew R. HelmusView profile

Associate Professor

• Ecology
• Evolutionary Biology
• Invasion Biology
• +8 more

Matthew R. Helmus is an Associate Professor of Ecology at Temple University in Philadelphia, USA. His research focuses on the intersection of ecological and evolutionary processes in generating biodiversity, with emphasis on invasion biology, island biogeography, and quantitative methods. He employs big data statistics, mathematical modeling, and field research in systems across the Eastern U.S. and Caribbean Islands, with additional work in entomology, ichthyology, and herpetology. Ph.D. in Zoology, University of Wisconsin Madison (2008) B.S. in Biology and Sociology, University of Central Arkansas (2001) Postdoctoral Fellow, Amsterdam Global Change Institute, Vrije Universiteit (2012-2016) Postdoctoral Fellow, University of Chicago (2010-2011) Postdoctoral Fellow, Xishuangbanna Tropical Botanical Garden (2009-2010) Dr. Helmus specializes in invasive species forecasting , particularly the spotted lanternfly's global threat to the wine industry. His work merges island biogeographic theory with anthropogenic drivers to update classical models for the Anthropocene. He also develops open-access quantitative frameworks like the R package lydemapr to enhance biodiversity science communication and stakeholder engagement. Recent publications (2022-2024) emphasize mathematical models for pest resistance , anthropogenic extinction patterns , and climate-buffered invasive species dynamics . While no explicit awards are listed in the provided text, his work has been published in high-impact journals including Nature , Communications Biology , and Global Ecology and Biogeography . Dr. Helmus leads the iEcoLab , which actively engages in ecological forecasting and software development for invasive species research. The lab recently advertised a postdoctoral position focused on urban ecology of invasive pests and host-plant phenology through the 2023 job posting .

Craig GlennieView profile

Professor

• Kinematic Remote Sensing
• Lidar Processing
• 3D Change Detection
• +6 more

Craig Glennie is a Professor in the Civil and Environmental Engineering department at the Cullen College of Engineering , University of Houston . He serves as the Director of the National Center for Airborne Laser Mapping (NCALM) and Director of Engineering Defense Research Initiatives . His research focuses on kinematic remote sensing, lidar processing, 3D change detection, and open-source software development. Education: Ph.D. and B.Sc. in Geomatics Engineering from the University of Calgary (1999, 1996). Professional Experience: Faculty member at the University of Houston since 2010, with prior industry roles at Terrapoint USA Inc. and Aerotec LLC. Research Trends: His recent publications emphasize advancements in lidar technology, flood modeling, volcanic CO2 monitoring, and applications of machine learning to geospatial data. Notably, he has contributed to NASA's Surface Topography and Vegetation missions and developed methods for ICESat-2 data analysis. Labs & Teams: Leads NCALM, a national facility for airborne lidar data acquisition and processing, and collaborates on defense research initiatives.

Monica BillioView profile

Professor

• Econometrics
• Sustainable Finance
• Climate Risk
• +3 more

Monica Billio is Full Professor in Econometrics at Ca' Foscari University of Venice, coordinating the Master's in Economics, Finance and Sustainability. She leads research at the European Center for Living Technology and Research Institute for Complexity. Research focuses on: Climate finance risk modeling Bayesian statistical methods Network analysis in financial systems Sustainable investment frameworks Systemic risk measurement Publications demonstrate strong emphasis on integrating econometric techniques with climate risk assessment, particularly in mortgage markets and sustainable investing. Editorial contributions include special issues on sustainable finance transitions.

Imre SalmaView profile

Professor

• Atmospheric Chemistry
• Environmental Science
• Air Pollution
• +4 more

Imre Salma is a Professor at the Department of Analytical Chemistry within the Faculty of Science at Eötvös Loránd University (ELTE). His research focuses on atmospheric chemistry, aerosol physics, and environmental science, with an emphasis on particle formation, air quality, and health impacts. He holds a Doctor of Science (DSc) degree and has extensive experience in analytical techniques, including eddy accumulation and convolutional neural networks for particle detection. Salma’s work examines ultrafine particles in urban environments, investigating their sources, dynamics, and health consequences. His research spans long-term data analysis (e.g., 11-year datasets), lockdown effects on pollution, and regional comparisons across Europe. He also explores oxidative potential of particles, lung deposition mechanisms, and firework-related air quality degradation. Key applications include improving air quality monitoring, informing policy, and advancing climate models. His publications span aerosol nucleation mechanisms, hygroscopic properties, and interdisciplinary approaches bridging chemistry, computer science, and public health. Salma collaborates internationally, contributing to initiatives like the COST Action 633. His lab is located at the Institute of Chemistry in Budapest, with a focus on cutting-edge analytical methods and environmental problem-solving.

Joonha ParkView profile

Assistant Professor

• Computational Statistics
• Sequential Monte Carlo Methods
• Markov Chain Monte Carlo (MCMC)
• +5 more

Joonha Park is an Assistant Professor in the Department of Mathematics at the University of Kansas (since 2020), affiliated with the College of Liberal Arts & Sciences. His research focuses on computational statistics, including sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods, with applications to public health, Bayesian analysis, and spatio-temporal systems. He holds a Ph.D. in Statistics from the University of Michigan (2018), an M.A. from KAIST (2012), and a B.S. from MIT (2007). Education: Ph.D. in Statistics, University of Michigan, 2018 M.A. in Mathematical Sciences, KAIST, 2012 B.S. in Mathematics, MIT, 2007 Research Interests: Computational methods for statistical inference, spatiotemporal modeling, Bayesian statistics, and applications to public health. His work emphasizes developing scalable algorithms for implicitly defined models and high-dimensional systems. Publications: Recent work includes cross-cultural studies on well-being, computational inference methods (e.g., the sbi R package), and epidemiological modeling. His research bridges statistical methodology and real-world applications, often involving international collaborations. Labs/Teams: Active in computational statistics research groups, contributing to open-source tools like sbi and athmc . Collaborates with interdisciplinary teams on public health data analysis and spatiotemporal dynamics.

• Ornithology
• Ecology
• Animal Behavior
• +3 more

Dr. Lyanne Brouwer is a researcher at James Cook University's College of Science and Engineering, specializing in Zoology and Ecology. Her work focuses on avian behavior, evolutionary strategies, and ecological impacts of environmental change. Academic Rank: Researcher Institution: James Cook University Dr. Brouwer's research spans ornithology , evolutionary biology , and ecology , with particular emphasis on cooperative breeding systems, parental investment, and climate change effects on bird populations. Her recent publications explore topics such as sex-ratio biases, paternity assurance mechanisms, and vocal communication in fairy-wrens. Scientific trends in her work include urban ecology (analyzing anthropogenic impacts), climate sensitivity (meta-analyzing global avian responses), and behavioral innovation (studying prenatal learning and rescue behaviors). She contributes to computational biology through tools like the HIPHOP R package for parentage analysis. Dr. Brouwer investigates ecological constraints in tropical coastal ecosystems and integrates fitness components across generations in cooperatively breeding species. Her work combines field studies with statistical modeling to understand population viability under environmental stressors.

Fernando RiosmenaView profile

Associate Professor

• Immigration Studies
• Demography
• Public Health
• +3 more

Fernando Riosmena is an Associate Professor in the Population Program at the Institute of Behavioral Science (IBS) and affiliated with the Department of Geography at the University of Colorado Boulder. His research focuses on demographic processes related to migration, immigrant health, and development in Latin American societies and U.S. immigrant communities. He teaches courses on migration, global change, and research methodology, including GEOG-6732 Formal Population Geography and GEOG-4292 Migration, Immigrant Adaptation, and Development . His work examines how migration policies, environmental conditions, and socioeconomic factors influence migration dynamics and well-being. He emphasizes the interplay between migration and health, particularly among Latin American immigrants in the U.S., and explores adaptation processes and acculturation effects. Courses like GEOG-2002 Geographies of Global Change reflect his interest in human-environment interactions and globalization. Riosmena’s publications analyze climate change impacts on migration, the role of social networks in displacement, and the paradox of health advantages among immigrants. He also contributes to policy discussions on border estimation and transnational migration effects. While no scientific awards are explicitly listed, his research is widely cited in demography and migration studies.

Will PearseView profile

Professor

• Evolutionary Ecology
• Biodiversity Conservation
• Statistical Modeling
• +5 more

Will Pearse is a Professor in Evolutionary Ecology at Imperial College London's Department of Life Sciences (Silwood Park). He leads the Pearse Lab, which focuses on using evolutionary history to predict ecological processes, develop computational tools, and address biodiversity, health, and AI challenges. His work spans academia, government, and industry collaborations. Education: PhD in Ecology, Evolution & Conservation, Imperial College London (2013) MSc in Ecology, Evolution & Conservation, Imperial College London (2009) BSc Zoology, University of Cambridge (2008) Research Interests: The lab integrates phylogenetics, AI, and statistical modeling to study biodiversity conservation, climate impacts on species, and ecosystem services. Key areas include: - Phylogenetic diversity and conservation prioritization (EDGE program) - Fractal sampling designs for ecological monitoring - AI-driven phenology and disease forecasting (e.g., SARS-CoV-2) - Biodiversity-ecosystem service linkages Recent Articles Trends: His 2024-2025 work emphasizes AI applications in ecology, climate-driven pathogen evolution, and rewilding assessments. Earlier publications focused on phylogenetic methods, phenology modeling, and biodiversity policy. Awards: Robert May Prize (2014) for phylogenetic tools in ecology NERC funding leadership ($1.48M+) Co-lead on EDGE 2.0 conservation framework Advising & Grants: Supervised 19+ students/postdocs. Key grants include: - NERC/UKRI projects on biodiversity and health - NSF funding for macroecological studies (e.g., $299k for NSF MacroSystems Biology) - Imperial College collaborations with Hitachi and USDA Forest Service Labs/Teams: Maintains the Ecological Fractal Network (EFN) with >40 global collaborators and leads Imperial's Alan Turing Institute partnership for data-driven ecology.

Philip B. StarkView profile

Professor

• Uncertainty Quantification
• Election Auditing
• Earthquake Prediction
• +7 more

Philip B. Stark is a Distinguished Professor of Statistics at the University of California, Berkeley, where he holds a faculty position in the Department of Statistics. His research focuses on uncertainty quantification, election integrity, earthquake prediction, and applications of statistics in physical and social sciences. He has developed auditing methods used in over 15 U.S. states, and his work on the U.S. Census adjustment and election security has influenced policy and legal proceedings. Stark’s research spans computational statistics, risk-limiting audits, and environmental science, with notable contributions to soil carbon sequestration and food equity. He co-created SticiGui, an online introductory statistics course that pioneered MOOCs at UC Berkeley, reaching over 50,000 students. His consulting expertise spans litigation, clinical trials, and election integrity, with roles on advisory boards like the Election Assistance Commission and OSET Institute. Key research themes include statistical methodology for complex systems, election auditing innovations, and interdisciplinary applications in law, geophysics, and nutrition. His work emphasizes rigorous statistical methods to address societal challenges, from ensuring voting integrity to advancing sustainable food systems.

Francis X. DieboldView profile

Professor

• Financial Markets
• Macroeconomics
• Climate Change
• +5 more

Francis X. Diebold is the Paul F. and Warren S. Miller Professor of Economics, Professor of Finance, and Professor of Statistics and Data Science at the University of Pennsylvania. He serves as Faculty Director of the Masters of Applied Economics and Data Science (MEDS) program. His research focuses on dynamic predictive modeling of financial markets, macroeconomic fundamentals, climate change, and their intersections. Key contributions include work on asset-return volatility, business cycles, yield curves, Arctic sea ice modeling, and network connectedness. Diebold has authored over 150 scientific papers and eight books, including Financial and Macroeconomic Connectedness and Yield Curve Modeling and Forecasting . He is a Fellow of numerous prestigious institutions such as the Econometric Society, American Statistical Association, and Guggenheim Foundation. His academic lineage includes over 75 PhD students. His research spans climate models, financial econometrics, and economic forecasting. Notable projects include analyzing Arctic sea ice dynamics and developing methodologies for measuring financial market connectedness. Diebold has held visiting positions at Princeton, Chicago, Johns Hopkins, and NYU. He is actively involved in editorial and advisory roles, including past presidency of the Society for Financial Econometrics and editorial board memberships for journals like Econometrica . His work bridges theoretical econometrics with practical applications in policy and climate adaptation.

Alison JohnstonView profile

Associate Professor

• Statistical Ecology
• Biodiversity Monitoring
• Citizen Science
• +3 more

Dr. Alison Johnston is a Reader in Statistics and Director of CREEM at the University of St Andrews' School of Mathematics and Statistics. She specializes in developing statistical methods for ecological applications, particularly using citizen science data to study bird population dynamics and biodiversity patterns. Educational background includes a BSc in Quantitative Ecology from the University of St Andrews and a PhD from the University of Cambridge. Research focuses on: Statistical modeling of species distributions and population trends Bias correction in citizen science data Climate change impacts on avian communities Conservation prioritization through spatial analysis Her publications demonstrate consistent innovation in integrating large-scale ecological datasets, with recent work emphasizing climate-driven range shifts, conservation effectiveness, and methodological advances in statistical ecology. Research consistently addresses the challenge of extracting reliable ecological insights from complex observational data. Honors include the 2021 Marsh Award for Ornithology. She supervises PhD students working on biodiversity monitoring, spatial capture-recapture models, and statistical applications in conservation. Dr. Johnston leads projects at the Centre for Research into Ecological & Environmental Modelling (CREEM), developing tools that support evidence-based conservation policy and biodiversity management across multiple continents.

Tiago A. MarquesView profile

Research Fellow

• Ecological Statistics
• Marine Mammal Ecology
• Population Density Estimation
• +3 more

Dr. Tiago A. Marques is a Senior Research Fellow at the School of Mathematics and Statistics, University of St Andrews, UK, and an invited professor at DEIO (Universidade de Lisboa, Portugal). He specializes in Ecological Statistics , focusing on population density estimation using passive acoustic data and distance sampling methods. His work spans marine mammals (cetaceans, polar bears), fish, birds, and other wildlife. Key projects include DECAF (cetacean abundance via passive acoustics) and LATTE (cetacean behavior and human noise impact analysis). Education: Biologist by training, with an MSc and PhD in Statistics. Research Interests: Ecological statistics, acoustic monitoring, conservation biology, and statistical methodology dissemination. Key Contributions: Developed distance sampling software tools, pioneered methods for integrating acoustic data into ecological surveys, and led polar bear population studies in the Arctic. Collaborates globally on wildlife conservation and statistical ecology. Labs/Teams: CREEM (Centre for Research into Ecological & Environmental Modelling) at St Andrews. Active in open-source tool development, including R packages and GitHub repositories like DeepDiverCueRates .

Jorge CuartasView profile

Assistant Professor

• Developmental Psychology
• Public Health
• Early Childhood Development
• +4 more

Jorge Cuartas is an Assistant Professor in the Department of Applied Psychology at New York University's Steinhardt School, leading the Catalyzing Action for Resilient Ecologies (CARE) lab. He holds advanced degrees from Harvard University, Universidad de los Andes, and Universidad Jorge Tadeo Lozano, specializing in Human Development, Economics, and Education. His research focuses on resilience promotion, violence prevention, early childhood programs, and climate change impacts on development. He employs interdisciplinary methods like econometrics and meta-analysis, with publications in The Lancet , Nature Human Behaviour , and Child Development . His work bridges academia and policy, informed by global collaborations with UNICEF, the World Bank, and Colombia's government. Dr. Cuartas has received prestigious awards including the APA Early Career Award, Spencer Fellowship, and SRCD Levin Award. His research highlights the intersection of socioeconomic factors, environmental risks, and developmental outcomes, advocating for evidence-based interventions in vulnerable populations. Before NYU, he served as a consultant for international organizations and remains a researcher at Colombia's CESED. His CARE lab addresses systemic challenges in child development through innovative, context-sensitive solutions.

Alexander SahnView profile

Assistant Professor

• Political Economy
• Urban Politics
• American Political Development
• +5 more

Alexander Sahn is an Assistant Professor of Political Science and the Thomas J. Pearsall Fellow at the University of North Carolina at Chapel Hill. He specializes in political economy and representation, focusing on subnational U.S. governments, housing policies, and urban governance. His research examines racial backlash in exclusionary zoning, public comment influence on housing approvals, and municipal civil service reforms. Education: PhD in Political Science from the University of California, Berkeley (2020); Postdoctoral Fellow at Princeton University’s Center for the Study of Democratic Politics (2020–2023). Research Interests: Political economy of housing and urban development Institutional design of local governments Racial dynamics in policy implementation Public participation mechanisms Awards: Recognized with the Susan Clarke Young Scholar Award (APSA Urban Politics) and Emerging Scholar Award (APSA American Political Economy Section). Advising/Grants: Currently mentoring students in urban politics and political methodology. No active grants explicitly mentioned, but his research often addresses applied policy questions. Labs/Teams: Active in UNC’s political science department, collaborating on projects about neighborhood representation and climate communication.