Find Academic Supervisors

• Metabolism
• Energy Homeostasis
• Obesity Research
• +5 more

Alexander Banks, Ph.D. is an Associate Professor of Medicine at Beth Israel Deaconess Medical Center, specializing in the Division of Endocrine. His research focuses on energy metabolism, obesity, diabetes, and related metabolic disorders. Dr. Banks' research interests span multiple areas of metabolic physiology including: Energy homeostasis and metabolic regulation Thermogenesis and adipose tissue biology Mechanisms of insulin resistance Growth Differentiation Factor 3 (GDF3) signaling PPAR gamma regulation in metabolic diseases Neural control of metabolism and energy balance Analysis of his recent publications reveals a strong focus on molecular mechanisms linking adipose tissue function, neural regulation, and metabolic homeostasis. His work spans from basic molecular mechanisms to translational applications, with particular emphasis on developing tools like the CalR toolkit for metabolic phenotyping. Recent trends show increasing integration of neuroscience approaches with traditional metabolic research, examining how brain circuits regulate whole-body energy balance. Dr. Banks has been Principal Investigator on multiple NIH-funded research projects including: RC2DK142612 (2025-2030): A database of indirect calorimetry experiments for energy homeostasis R01DK133948 (2022-2025): CalR toolkit development R01DK107717 (2016-2025): Mechanism of Gdf3 action in obesity His laboratory utilizes advanced techniques including indirect calorimetry, continuous glucose monitoring, neural circuit mapping, and proteomic analysis to investigate metabolic regulation. Collaborations with prominent researchers in metabolism and neuroscience have enabled multidisciplinary approaches to understanding energy homeostasis.

• Data Structures
• Algorithms
• Compressed Data
• +3 more

Dr. Sebastian Wild is a Lecturer at the University of Liverpool, specializing in algorithms and data structures. His research focuses on developing space-efficient and adaptive methods for computing over compressed data, optimizing performance based on input characteristics. He has led projects on sorting, selection, and dictionary operations, with an emphasis on exact constant-factor analysis and practical efficiency. Research Grants: Computing over Compressed Graph-Structured Data (EPSRC, 2024-2027) Decomposition techniques for graphs (Royal Society, 2023-2025) Lazy Finger Search Trees (Royal Society, 2021-2022) Recent publications highlight advancements in adaptive sorting, approximation algorithms for scheduling, and cache-oblivious data structures. Themes include implicit representations, compressed graph processing, and run-adaptive methods. His work bridges theoretical analysis with real-world applications in databases, compression, and algorithm engineering. Professional Roles: REF Impact Lead (Department, 2023-present) Outreach Co-ordinator (Department, 2020-present) Recruitment Lead (School/Institute, 2022-2024) He teaches modules like COMP335: Communicating Computer Science and supervises theses, integrating his research into pedagogy.

Andreas PavlogiannisView profile

Associate Professor

• formal methods
• algorithmic verification
• automata theory
• +6 more

Andreas Pavlogiannis is an Associate Professor in the Department of Computer Science at Aarhus University. His research focuses on formal methods , algorithmic verification , automata theory , concurrency , static and dynamic program analysis , network diffusion , evolutionary graph theory , and evolutionary game theory . Teaching courses: Programming Languages (Bachelor) , Algorithmic Model Checking (Master) , and Program Analysis (Master) Service: Program committee member for POPL, ESOP, AAAI, IJCAI, CONCUR, OOPSLA, and organizer of CONFEST'25 His research has been supported by the Austrian Science Fund (FWF), VILLUM Foundation, Stibo Foundation, and Danish Council for Independent Research (DFF). He is actively recruiting PhD and PostDoc researchers. Recent publications span quantum computing , concurrent systems , evolutionary dynamics , and network science , with particular emphasis on symbolic algorithms , dynamic analysis , and graph-based models .

Tammy CampbellView profile

Visiting Professor

• Early Childhood Education
• Educational Inequality
• Special Educational Needs and Disabilities
• +7 more

Tammy Campbell is Director for Early Years, Inequalities and Wellbeing at the Education Policy Institute and a Visiting Senior Fellow at the Centre for Analysis of Social Exclusion (CASE) at the London School of Economics and Political Science. Previously, she completed a British Academy Postdoctoral Fellowship at CASE where she has been affiliated since 2016, initially as a Research Officer and subsequently as a Postdoctoral Researcher. She holds a PhD from the UCL Institute of Education and brings prior experience as a Government Social Researcher and direct work with children and young people. Dr. Campbell's research focuses on childhood and education, examining social, structural, and psychological processes that cause inequalities and shape lives. Her work investigates the intended and unintended ways policies play out in practice, with particular attention to measurement and representation in quantitative data. She specializes in large-scale data analysis using the National Pupil Database and the Millennium Cohort Study to explore patterns of educational inequality. Her recent publications reveal a strong focus on educational inequalities, particularly regarding Special Educational Needs and Disabilities (SEND), Free School Meals as a socioeconomic indicator, early educational transitions, and ability grouping in primary schools. Her research consistently applies quantitative methods to uncover systemic patterns that might otherwise remain hidden, with direct implications for policy development and implementation. British Academy Postdoctoral Fellowship ESRC PhD Studentship with AQM Stipend Dr. Campbell's advisory work appears to focus on policy implementation rather than traditional academic student supervision, with her research directly informing education policy through her leadership position at the Education Policy Institute. Her work with CASE has involved multiple funded research projects using large-scale national datasets to address pressing educational inequality issues. She maintains active collaborations with researchers across institutions, particularly with colleagues at CASE, UCL, and the Education Policy Institute. Her research operates at the intersection of academic analysis and policy implementation, working closely with the Education Policy Institute to translate research findings into actionable policy recommendations. This unique position allows her to bridge the gap between academic research and practical policy development in the education sector.

Erin BakerView profile

Associate Professor

• Environmental Health
• Molecular Biomarkers
• Analytical Chemistry
• +6 more

Erin Baker is an Associate Professor at the University of North Carolina at Chapel Hill's School of Medicine and Department of Chemistry. Her research focuses on environmental health, molecular biomarkers, and advanced analytical techniques including Ion Mobility Spectrometry (IMS) and Mass Spectrometry (MS). Education: B.S. in Chemistry (Montana State University), Ph.D. in Chemistry (University of California – Santa Barbara) Postdoctoral: Pacific Northwest National Laboratory Research Interests : Erin's group develops multidimensional separation methods (solid-phase extraction, liquid chromatography, IMS-MS) for high-throughput analysis of chemical exposures and their biological impacts. They integrate genomic, proteomic, and metabolomic data to study environmental perturbations in human health. Scientific Awards : 2024 Emerging Investigator 2023 Emerging Investigator Publications & Outreach : Erin's recent work includes PFAS environmental monitoring, lipidomics scoring systems, and IMS-MS method development. Her lab emphasizes community engagement, presenting internationally and collaborating on K-12 STEM initiatives.

Heidi Lie AndersenView profile

Associate Professor

• Lichenology
• Plant Taxonomy
• Natural Products Chemistry
• +3 more

Heidi Lie Andersen is an Associate Professor at the University of Bergen , affiliated with the University Museum of Bergen and its Arboretum and Botanical Gardens . Her research spans lichen taxonomy, plant natural products, and botanical conservation. Education : PhD in Lichen Systematics (2004, University of Bergen), focusing on the phylogeny of Micarea and related genera. Her work explores evolutionary relationships in Rosaceae and lichen families like Fuscideaceae, integrating molecular techniques with traditional taxonomy. She investigates bioactive compounds from ancient and medicinal plants, including their potential in pharmacology . Her projects often combine conservation biology with public engagement, such as citizen science initiatives and botanical exhibitions. Key publications include studies on cytotoxic natural products from Jurassic and conifer species, lichen nomenclature, and hybridization dynamics in Rosa species. She has led educational programs on garden-based learning and sustainable cultivation. Andersen contributes to science communication through radio programs, public lectures, and exhibitions like "Harry Potter Day" in the Botanical Garden. Her collaborations span institutions in Norway and internationally, including work on global plant collection trends via platforms like iNaturalist.

Amine MhedhbiView profile

Assistant Professor

• Database Management
• Graph-Structured Databases
• Query Optimization
• +4 more

Amine Mhedhbi is an Assistant Professor at Polytechnique Montréal in the Department of Computer Engineering and Software Engineering. He is affiliated with the Institute for Data Valorization (IVADO) and the Software Engineering for Machine Learning Applications (SEMLA) group. His research focuses on data management systems, particularly graph-structured databases, multimodal data engineering, and AI-driven query optimization. Ph.D. in Computer Science from University of Waterloo Former technical advisor to enterprise companies Prior applied research leadership at Distyl AI and internships at Microsoft Research His recent work explores integrating large language models (LLMs) into database systems, optimizing SQL generation, and advancing graph database architectures. Key projects include GraphflowDB and FlockMTL , addressing scalability and declarative semantic applications. Scientific awards include: NSERC Discovery Grant with Discovery Launch Supplement (2025) Cheriton School Distinguished Dissertation Award (2024) Microsoft Research Ph.D. Fellowship (2020) VLDB Best Paper Award (2018) He supervises graduate students in database systems and machine learning applications and serves on program committees for top-tier conferences like VLDB and SIGMOD.

Thorsten VittView profile

Researcher

• Digital Humanities
• Computational Philology
• Authorship Attribution
• +12 more

Thorsten Vitt is a Researcher at the Chair of Computational Philology and Modern German Literary History within the Faculty of Philosophy at the University of Würzburg . His role includes academic advising for Digital Humanities degree programs, IT support for the Chair, and technical leadership in digital edition projects such as the Faust Edition and TextGrid . He is affiliated with the ZPD (Zentrum für Philologie) and works on computational methods for literary analysis. Current Projects : Faust Edition, ESF-ZDEX, TextGrid, DARIAH-DE Technical Expertise : Markup Languages, Linguistic Query Languages, Database Systems Research Interests : Digital Humanities, Computational Philology, Authorship Attribution, Topic Modeling, Digital Editions, Data Visualization, Software Development for Humanities. His work bridges computer science with literary studies, focusing on algorithmic analysis of historical texts and digital scholarly editions. Publications highlight his contributions to computational analysis of Goethe's Faust, topic modeling tools, and distance measures like Burrows' Delta. He has developed software libraries for stylometric analysis and collaborates on infrastructures like TextGrid and DARIAH-DE. Education : Completed a diploma thesis on "Queries to Complex Corpora" (2005) and a student research paper on "Storing Linguistic Corpora in Databases" (2004) at Humboldt University Berlin. Technical Leadership : Deputy IT support for the Chair, contributor to GitHub repositories including pydelta and faust-web , and developer of tools for topic modeling and digital editions.

Kate FolletteView profile

Associate Professor

• Exoplanet detection
• Adaptive optics
• Circumstellar disks
• +4 more

Kate Follette is an Associate Professor in the Department of Astronomy at Amherst College, where she conducts cutting-edge research in exoplanet detection and STEM education. She serves on the NSF Astronomy and Astrophysics Advisory Committee (2024-2026) and the NASA Exoplanet Exploration Program Analysis Group Executive Committee (2023-2025), demonstrating her leadership in the astronomical community. Ph.D. in Astronomy, University of Arizona (2014) M.S. in Astronomy, University of Arizona (2010) B.A. in Physics and Japanese Studies, Middlebury College (2004) Dr. Follette's research focuses on using adaptive optics technology to detect young exoplanets and circumstellar disks through direct imaging techniques. Her work pushes the boundaries of telescope and image processing technology to isolate light from planets that are millions of times fainter than their host stars. She also leads an education research lab that studies the role of mathematics across science curricula, with particular interest in improving students' quantitative reasoning skills and addressing math anxiety. Her publication record shows a strong focus on direct imaging of protoplanets, with numerous papers on the AB Aurigae system and the Giant Accreting Protoplanet Survey (GAPlanetS). Her work spans observational techniques, data analysis methodologies, and the physical interpretation of circumstellar environments where planets form. Scialog: Signatures of Life in the Universe Fellow (2022-24) Cottrell Scholar (2022-25) Amherst College Center for Teaching and Learning Faculty Fellow (2022-24) NASA Sagan Postdoctoral Fellowship (2016) Dr. Follette actively contributes to the professional development of early-career scientists through her role as Chair of the American Astronomical Society Task Force on Early Career Engagement (2022-2024) and as a member of the National Numeracy Network Board of Directors (2014-present). Her educational research has developed assessment tools like the Quantitative Reasoning for College Science (QuaRCS) to measure and improve students' numeracy skills in science contexts.

Gotthard MeinelView profile

Research Fellow

• Geoinformatics
• Remote Sensing
• Land Use Monitoring
• +5 more

Gotthard Meinel is a Senior Fellow at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2023, with a distinguished career spanning over three decades in geoinformatics and spatial analysis. Previously, he served as Head of the Research Department for Spatial Information and Modeling (2009-2022) and held various leadership positions within the institute since joining in 1992. Meinel received his education at the Technical University of Dresden, graduating in Information Technology in 1981. He pursued postgraduate studies in biomathematics and earned a specialist mathematician degree between 1981-1992, culminating in his promotion (PhD equivalent) in 1987. His research focuses on geoinformatics, particularly remote sensing image processing and the automated analysis of large geospatial datasets. Meinel specializes in monitoring land-use developments and building stock through advanced spatial analysis methods. His work encompasses the development of indicators and visualization technologies for understanding settlement patterns and open space dynamics. With expertise spanning computer science, mathematics, and spatial analysis, Meinel has made significant contributions to the field of land use monitoring in Germany. Analysis of Meinel's recent publications reveals a strong focus on land use monitoring systems, spatial data infrastructure, and the integration of survey and geospatial data. His research increasingly emphasizes interdisciplinary approaches, combining urban planning, environmental science, and data science to address complex spatial challenges. Key trends include the development of comprehensive monitoring frameworks, analysis of building stock characteristics, and exploration of sustainable land use practices across Germany. Meinel has led or participated in numerous significant research projects including the Social-Spatial Research Data Infrastructure (SORA), the Research Database for Non-Residential Buildings (ENOB:DataNWG), OpenGeoEdu, and the Competence Center for Scalable Data Services and Solutions (ScaDS). These projects demonstrate his leadership in developing innovative spatial data infrastructures and analytical approaches. As project leader and principal investigator, Meinel has supervised numerous research initiatives and likely mentored students and junior researchers, though specific advisees are not documented in the provided materials. His work has significantly influenced spatial planning practices and land use monitoring methodologies in Germany. Meinel's research is closely associated with the IOER Monitor, a comprehensive spatio-temporal research data infrastructure for settlement and open space development in Germany. His team has developed sophisticated methodologies for analyzing land use change, building stock dynamics, and urban structure through the integration of topographic data, remote sensing, and statistical approaches.

Robert RamboView profile

Research Fellow

• Structural Biology
• Biophysics
• RNA Biology
• +3 more

Robert Rambo serves as Science Group Leader for the Soft Condensed Matter village at Diamond Light Source, the UK's national synchrotron facility, and was formerly Principal Beamline Scientist for the B21 solution state SAXS beamline. He earned his Ph.D. in RNA crystallography from Yale University under Professor Jennifer A. Doudna's supervision, focusing on protein-RNA assemblies and RNA structural dynamics. Rambo's research pioneers mathematical methods like convex optimization for SAXS data analysis, enabling breakthroughs in RNA and protein-RNA complex characterization. He developed key tools including ScÅtter (bioSAXS software) and BioIsis.net (SAXS database), advancing structural biology through synchrotron radiation techniques. As leader of the Soft Condensed Matter group, he oversees beamlines B21 and I22, driving innovation in small-angle scattering methodologies for biological macromolecules.

• Remote Sensing
• Forest Ecology
• Terrestrial Laser Scanning
• +3 more

Mark Danson is a Professor at the University of Salford's School of Science, Engineering & Environment, specializing in remote sensing and forest ecology. His research focuses on developing terrestrial laser scanning technologies for vegetation analysis and ecological monitoring. He leads work on the Salford Advanced Laser Canopy Analyser (SALCA) system and contributes to global environmental databases like Globe-LFMC. His research explores vegetation structure measurement, lidar technology development, and ecological applications of remote sensing. Key interests include forest canopy analysis, plant moisture estimation, wildfire risk assessment, and climate change impacts on ecosystems. Recent work advances 3D forest modeling and validation of satellite-derived ecological parameters. The publication record demonstrates consistent focus on terrestrial laser scanning methodologies and forest applications. Research trends show progression from instrument development (dual-wavelength lidar systems) toward large-scale ecological validation studies and global dataset creation for climate monitoring. Danson leads technology development initiatives including the SALCA instrument design and calibration. Collaborative work appears through international projects like the Global Ecosystem Dynamics Investigation validation studies.

• Graph Neural Networks
• Machine Learning
• Artificial Intelligence
• +3 more

Fabian Jogl is a PreDoc Researcher at the Vienna University of Technology (TU Wien) within the Faculty of Informatics, holding dual affiliations in the Department of Databases and Artificial Intelligence (Institute E192) and the Department of Machine Learning (Institute E194). His work centers on theoretical and applied aspects of graph neural networks under the StruDL (2023–2027) and VHH (2019–2023) research projects. His research focuses on the expressivity limits of graph neural networks, particularly investigating whether enhanced expressivity translates to better predictive performance. Key areas include outerplanar graph analysis, path-based GNN architectures, global feature integration, and connections to the Weisfeiler-Lehman hierarchy. He examines structural properties of GNNs through homomorphisms and graph transformations to advance graph representation learning. Recent publications reveal trends toward unifying theoretical expressivity frameworks with empirical validation across diverse graph datasets. His work bridges geometric deep learning for cell complexes and practical applications like historical film analysis via the Historian dataset. Jogl actively contributes to major conferences including NeurIPS, ICML, and LoG while co-supervising student projects in machine learning algorithms. As a core member of the StruDL project, he investigates deep learning model structures for graph data, extending prior work on historical film annotation under the VHH project. His technical contributions include novel GNN simulation techniques and methods for enhancing message-passing architectures through graph transformations.

Karoline KjesrudView profile

Associate Professor

• Philology
• Art History
• Interdisciplinary Medieval Studies
• +6 more

Karoline Kjesrud is an Associate Professor at the Department of Archaeology, University of Oslo, specializing in interdisciplinary medieval studies combining philology, art history, and archaeobotany. She works on cultural phenomena related to nature, religion, and knowledge through analyses of texts, images, and material culture. Research focuses on plant knowledge in Viking and medieval Norway, human-animal relations, and cultural heritage preservation Leading the Nordic People and Plants project and co-organizing archaeobotanical databases Collaborates with international institutions via Erasmus+ and other networks Her recent publications explore topics like medieval food rituals, plant symbolism, and right-wing appropriation of historical symbols. She serves as leader of Collegium Medievale and board member of Middelalder Oslo . Participates in the interdisciplinary REA:Life project for pharmaceutical innovation using cultural heritage Organizes exhibitions like Arv and Wake for Fehn Active in the Norse Hagiography Network and Arthurian Society

Djinovic Carugo KristinaView profile

Professor

• Structural Biology
• Biochemistry
• Molecular Biology
• +4 more

Kristina Djinovic Carugo is a Full Professor of Structural Biology at the University of Vienna , affiliated with the Department of Structural and Computational Biology at Max F. Perutz Laboratories. Her career spans leadership roles including Head of Department (since 2009), Director of the Laura Bassi Center for Optimized Structural Studies (2010-2016), and Head of Structural Biology and Crystallography Unit at Sincrotrone Trieste (1999-2004). Education : PhD in Chemistry (1992, University of Ljubljana); Master's (1989, University of Ljubljana); Diploma in Chemistry (1986, University of Ljubljana) Her research focuses on structure-function analysis of metallo-enzymes involved in cellular protection, structural biology of actin-based cytoskeleton with emphasis on muscle Z-disk assembly, and X-ray induced radiation damage in protein crystals. Key techniques include X-ray crystallography, cryo-EM, and integrative structural approaches. Recent work explores liquid-liquid phase separation in sarcomeric Z-disc formation, Filamin C regulation by HSPB7 , and automated structural analysis tools like chalcogen bond detection in AlphaFold models. She has contributed to understanding protein interactions in hemidesmosomes, sarcomere mechanics, and redox-sensitive structural dynamics. Scientific Recognition : EMBO long-term postdoctoral fellowship (1995) Laura Bassi Center of Expertise (2010) EMBO member (2016) Her institutional roles include appointment committee memberships for tenure-track and professorship positions at Austrian universities and leadership in the Protein Technology Facilities user committee. Publications span high-impact journals including Science Advances, Cell, and PNAS, with over 145 peer-reviewed papers and an H-index of 44.