Find Academic Supervisors

• Developmental Biology
• Evolutionary Biology
• Entomology
• +3 more

Christine Kiesmüller is a researcher at the University of Warsaw's Faculty of Biology, working in the Institute of Evolutionary Biology (PARADIVE group). She completed her PhD at the University of Greifswald, focusing on predator-prey interactions in arthropods. Her research integrates paleontology, functional morphology, and developmental biology to understand evolutionary adaptations. Key areas include fossil insect behavior, raptorial appendages, and anti-predator strategies preserved in amber. Education: Bachelor's: Studied fossil insects and cockroach wing development Master's: Explored camel spider tagmatisation, cockroach wing mechanisms, and marine slug morphology PhD: Investigated predator-prey interactions in fossil arthropods Research Interests: Functional morphology of arthropods, evolutionary adaptations in predator-prey dynamics, and fossil preservation of behavioral evidence. Her work emphasizes 'frozen behavior' in amber fossils and phylogenetic inference of ecological roles. Awards: DAAD postdoctoral fellowship Landesgraduiertenförderung PhD fellowship Grants/Advising: No explicit grants listed, but her scholarships indicate sustained research funding. No documented advisees. Labs/Teams: Member of the PARADIVE group at the University of Warsaw, collaborating with researchers like Haug and Hörnig on amber fossils and evolutionary morphology.

Krzysztof SpalikView profile

Professor

• Phylogenetics
• Evolutionary Biology
• Plant Taxonomy
• +3 more

Prof. Krzysztof Spalik is a distinguished academic serving as Dean of the Faculty of Biology at the University of Warsaw and Head of the Scientific Council of the Biological-Chemical Research Centre. He leads the Committee of Environmental and Evolutionary Biology at the Polish Academy of Sciences (PAS). His research focuses on phylogenetics, evolution, taxonomy, and biogeography of Apiaceae, with particular emphasis on economically important plants like carrots and medicinal genera such as Ferula and Thapsia. His current project investigates ecological factors shaping secondary woodiness in Apioideae. Spalik has held numerous leadership roles, including deputy head of the Committee for Evolutionary and Theoretical Biology PAS and membership in expert panels for the National Science Centre Poland. He is a recipient of the 2013 Academic Teacher of the Year award for his contributions to education in exact and natural sciences at UW. Spalik actively engages in educational research, collaborating with the Institute of Educational Research and serving on the Central Examination Board. His teaching portfolio includes Botany, Ecological Education, Evolutionism, and Taxonomy, reflecting his commitment to both research and pedagogy. His research has led to groundbreaking taxonomic revisions (e.g., Laserocarpum in Greece) and advancements in phylogenetic methodologies, such as the Fast mvSLOUCH tool for analyzing multivariate trait evolution. Spalik’s work bridges molecular systematics with ecological adaptation, addressing topics like dispersal mechanisms, drought resistance, and inflorescence evolution in Apiaceae. Over 50 peer-reviewed publications and active roles in international collaborations underscore his influence in plant evolutionary biology.

Julian R. StarrView profile

Professor

• Molecular Systematics
• Phylogenetics
• Biodiversity
• +5 more

Julian R. Starr is a Full Professor in the Department of Biology at the University of Ottawa, affiliated with the Faculty of Science . His research focuses on systematics, phylogenetics, and biodiversity of vascular plants, particularly the Cyperaceae (sedge) family. He leads the lab at the Center for Advanced Research in Environmental Genomics (CRAGE) , employing both morphological/anatomical techniques and modern molecular tools like next-generation DNA sequencing. Research interests include molecular systematics, phylogeny, evolutionary patterns, and taxonomic classification of plants. His work emphasizes resolving evolutionary relationships in challenging plant groups using genomic and morphological approaches. Recent studies address rapid radiations in angiosperms, biogeographic histories of sedges, and taxonomic revisions of understudied taxa. Publications span topics from discovering new species in Vietnam to analyzing global sedge distributions, with methodological innovations in phylogenomics. No scientific awards are explicitly mentioned, but his contributions reflect advanced expertise in plant systematics. He advises students through lab opportunities at CRAGE and collaborates internationally on biodiversity projects.

Silvia LiveraniView profile

Associate Professor

• Bayesian Statistics
• Spatial Modelling
• Computational Statistics
• +3 more

Silvia Liverani is a Reader in Statistics and Head of the Centre in Data Science, Statistics and Probability at Queen Mary University of London (School of Mathematical Sciences). Her research focuses on Bayesian methods, spatial-temporal modeling, and computational statistics, with applications in epidemiology, environmental health, and genetics. She leads projects on biodiversity analysis and spatial health data, collaborating with institutions like the Royal Botanical Gardens, Kew and the Alan Turing Institute. Education: PhD in Bayesian Clustering from the University of Warwick (2009). Grants & Initiatives: Awarded £1,000 (2025) for an LGBTQ+ Mathematics Open Day; led a Data Study Group at the Alan Turing Institute (2023). Labs/Teams: Director of the Centre in Data Science, developer of R packages PReMiuM and CARME for Bayesian clustering and spatial modeling. Key Research Themes: Dirichlet process mixture models, spatial misalignment correction, and interdisciplinary collaborations in health and environment. Current work includes predicting biodiversity loss under climate change and analyzing socio-economic health disparities through spatio-temporal frameworks.

• Network Science
• Evolutionary Dynamics
• Complex Systems
• +5 more

Dr. Wei Zhang is a Researcher at the Complex Systems and Data Science group within The University of Sydney. Her work focuses on network science, evolutionary dynamics, and complex systems, with an emphasis on modeling social systems and analyzing meso-scale structures in social networks. She combines theoretical approaches, data-driven modeling, and web-based experimental methods to study emergent collective phenomena. Dr. Zhang holds a PhD in Network Science from ETH Zurich. Her research spans interdisciplinary topics including data science applications to complex systems and the detection of structural patterns in social networks. Recent projects include exploring domain adaptation techniques in machine learning and developing methods for 3D object detection and model compression. Her publications reflect expertise in computer vision, machine learning, and environmental science. Key themes include domain adaptation networks, 3D reconstruction, and LiDAR-based forestry analysis. While no specific awards are mentioned, her work demonstrates significant contributions to theoretical and applied data science. Dr. Zhang collaborates on projects involving interdisciplinary teams, though specific grants or lab affiliations are not detailed in the provided text. Her current research continues to bridge complex systems theory with modern data-driven methodologies.

• Evolutionary Biology
• Population Genetics
• Phylogenetics
• +4 more

Xia Hua is a Lecturer in the Mathematical Sciences Institute at the Australian National University. Their research focuses on evolutionary processes in biological and linguistic systems, with a focus on phylogenetics, population genetics, and chemical evolution. Hua holds a Ph.D. from Stony Brook University and has supervised multiple research projects in evolutionary biology and computational linguistics. Current research includes molecular dating methodologies, deep coalescence in phylogenetic analysis, and speciation gene identification. Collaborative projects involve astrophysical studies of stellar populations using phylogenetic techniques, as well as climate change adaptation studies in Australian flora. Recent work explores interdisciplinary connections between galaxy formation and biological evolution. Projects: Integrating theory/data to model evolution under climate change (2024-2027), ARC Plant Biosecurity Centre (2024-2029) Key collaborations: GALAH survey (solar twin abundance catalog), Omega Centauri stellar population studies Hua's research bridges computational modeling with empirical data analysis, with notable contributions in phylogenetic algorithms, molecular clock calibration, and evolutionary linguistics. Active in both biological and astrophysical communities through interdisciplinary collaborations.

John Levi MartinView profile

Professor

• Social Structures
• Political Fields
• Quantitative Sociology
• +5 more

John Levi Martin is the Florence Borchert Bartling Professor of Sociology at the University of Chicago. He holds a B.A. from Wesleyan University (1987), M.A. (1990), and Ph.D. (1997) from UC Berkeley. His research focuses on social structures, political fields, and quantitative methodologies, with notable publications like Social Structures (2009) and The Explanation of Social Action (2021). He has held previous faculty positions at the University of Wisconsin-Madison and Rutgers University. His work integrates classical sociological theory with innovative methodological approaches, including algebraic social network analysis and field theory. Recent projects explore AI ethics, political polarization, and historical sociological dynamics. Martin advises on interdisciplinary research at the intersection of culture, power, and social organization. Publications span sociological theory, methodology, cultural sociology, and political sociology, with frequent contributions to journals like American Journal of Sociology and Sociological Theory . His research emphasizes structural emergence, inequality mechanisms, and the critique of Cartesian frameworks in social science.

Magnus BordewichView profile

Professor

• Discrete Mathematics
• Theoretical Computer Science
• Phylogenetics
• +2 more

Magnus Bordewich is a Professor in the Department of Computer Science at Durham University. He holds a D.Phil. and MMath from the University of Oxford. Previously, he was a post-doctoral fellow at the University of Canterbury, New Zealand, and Leeds University. His research focuses on discrete mathematics, theoretical computer science, and applications in phylogenetics, including network reconstruction and algorithmic approaches to evolutionary biology. Recent publications explore phylogenetic diversity metrics, tree-child networks, and computational complexity in biological systems. Bordewich received the Erskine Fellowship (2015) and a Top Cited Article award from Elsevier (2010) for his work on hybridization events in evolutionary histories. He currently supervises postgraduate student Jia Cheng.

• Pathogen Ecology
• Evolutionary Biology
• Ecological Systems
• +3 more

Roman Gort is a Researcher affiliated with the Professorship for Pathogen Ecology at ETH Zurich's Department of Environmental Systems Science. He is based at the CHN J 14 building on Universitätstrasse 16 in Zürich, Switzerland. His work is embedded within the Environmental Systems Sciences faculty, focusing on interdisciplinary research at the intersection of ecology, evolution, and pathogen dynamics. Research interests inferred from his institutional role include pathogen-host interactions, evolutionary mechanisms shaping microbial ecosystems, and the application of ecological principles to infectious disease studies. His position supports academic activities within the Evolutionsbiologie (Evolutionary Biology) research group, though specific projects or publications are not detailed in the provided text. Contact information includes a direct phone line (+41 44 632 66 56) and institutional email. No awards or grants are explicitly mentioned in the profile.

Thomas PoigerView profile

Lecturer

• Environmental Science
• Systems Science
• Sustainability
• +3 more

Dr. Thomas Poiger is a Lecturer at the Department of Environmental Systems Science (D-USYS) at ETH Zurich. His affiliation with this leading research institution positions him within interdisciplinary environmental science and engineering disciplines. While specific educational background is not detailed in the provided text, his role as a lecturer suggests engagement in teaching and academic supervision within environmental systems science. Research interests are inferred from his departmental affiliation, focusing broadly on environmental systems analysis, sustainability frameworks, and ecological modeling. No specific publications or grants are listed in the available information. No scientific awards or advising activities are explicitly mentioned in the provided content. His professional activities likely include contributions to curriculum development and academic administration within ETH Zurich's environmental science programs.

Felix J. ThoemmesView profile

Associate Professor

• Quantitative Methods
• Causal Inference
• Social Sciences
• +4 more

Felix J. Thoemmes is an Associate Professor in the Department of Psychology at Cornell University's College of Human Ecology, with his office located in G201F Martha Van Rensselaer Hall. His academic work bridges methodological rigor and applied research in social sciences. His primary research focuses on quantitative methods for causal inference , including specialized techniques like propensity score analysis with clustered data and software development for regression-discontinuity designs. He actively collaborates on interdisciplinary projects in developmental and health psychology, addressing complex real-world problems through advanced statistical approaches. Dr. Thoemmes teaches graduate and undergraduate courses including Quantitative Methods II and Special Topics in Quantitative Psychology , while supervising student research through courses like Empirical Research and Directed Readings. His teaching spans both the Psychology and Human Development programs.

Harold EysterView profile

Research Fellow

• Socio-Environmental Systems
• Urban Ecology
• Climate Change Adaptation
• +3 more

Harold Eyster is a Gund Postdoctoral Fellow at the University of Vermont , working with Rachelle Gould and Brian Beckage. He holds a PhD from the University of British Columbia (2021) under Kai Chan and a BA in Environmental Science and Public Policy from Harvard University. His research focuses on socio-environmental systems, urban ecology, and climate change adaptation, with a particular emphasis on renewable energy transitions and human-nature relationships. He currently serves as an Applied Climate Scientist at The Nature Conservancy in Colorado, applying transdisciplinary methods like remote sensing, Bayesian models, and GIS to study renewable energy siting and urban cooling dynamics. His work bridges ecological and social sciences to address sustainability challenges through just and inclusive frameworks. Key interests include: Urban biodiversity and tree-mediated climate regulation Renewable energy impacts and spatial planning Relational values in conservation decision-making Methodologies for interdisciplinary research His research has been published in journals like Journal of Animal Ecology , PNAS , and Conservation Biology , with a focus on actionable insights for policymakers and practitioners.

Joe WatsonView profile

Researcher

• Statistics
• Environmental Statistics
• Spatio-Temporal Modeling
• +1 more

Joe Watson is a researcher affiliated with the Department of Statistics at the University of British Columbia (UBC), Faculty of Science. His work focuses on statistical methodology for environmental and spatio-temporal data analysis. Research Interests: Joe's research addresses challenges in environmental statistics, particularly preferential sampling and spatio-temporal modeling. His studies provide theoretical frameworks and computational tools for analyzing complex ecological and environmental datasets. Publications: His notable contributions include advancements in Monte Carlo testing for sampling bias, general theories for environmental network sampling, and multi-data-type species distribution models.

Jun ZhuView profile

Professor

• Spatial statistics
• Spatio-temporal statistics
• Markov random fields
• +7 more

Jun Zhu is a Professor of Statistics at the University of Wisconsin-Madison, affiliated with the Department of Statistics and cross-listed in the Department of Entomology, Department of Biostatistics and Medical Informatics, and the Center for Demography and Ecology. His research focuses on spatial and spatio-temporal statistical methodologies, applied to ecological, environmental, agricultural, and health systems. He holds prestigious awards including the Distinguished Achievement Medal from the American Statistical Association and election to the International Statistical Institute. Education: PhD in Statistics (Iowa State University, 2000), MSE in Mathematical Sciences (Johns Hopkins University, 1995), BA in Mathematics and Computer Science (Knox College, 1994). Research emphasizes methodological development for spatial data analysis, with applications in agriculture, ecology, and public health. Key contributions include cluster detection algorithms, spatial regression models, and spatio-temporal analyses of environmental and demographic phenomena. His work bridges theoretical statistics with interdisciplinary collaborations, addressing real-world challenges such as disease mapping and climate change impacts. Scientific Awards: Distinguished Achievement Medal (ASA) Elected Member (International Statistical Institute) Fellow (American Statistical Association) Presidential Award (American Society of Agronomy) Teaching and advising: Leads courses on spatial statistics, time series analysis, and statistical consulting. Advises on methodological and collaborative projects at the intersection of statistics and environmental science. Labs/Teams: Active in interdisciplinary research teams focused on spatial demography, ecological modeling, and statistical ecology.

• Bayesian Statistics
• Epidemiological Modeling
• Disease Dynamics
• +1 more

Ben Lambert is Associate Professor of Statistics at the University of Oxford and directs the Schmidt AI in Science programme. His research develops computational methods for biological and epidemiological systems, focusing on Bayesian inference in disease transmission. Research: Models mosquito-parasite interactions in malaria, COVID-19 outbreak dynamics, and diagnostic testing strategies. Creates open-source educational resources for statistical methods. Leadership: Manages postdoctoral fellows applying AI to scientific challenges. Fellow of Reuben College.