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Mathieu MorlighemView profile

Professor

• Polar Climate Change
• Ice Sheet Dynamics
• Sea Level Rise
• +7 more

Mathieu Morlighem is a Professor in the Department of Earth Sciences at Dartmouth College, holding the Evans Family Distinguished Professorship. His research focuses on ice sheet physics, climate system interactions, and sea level rise projections. Expertise in polar climate change Specialization in ice sheet numerical modeling Leadership in data assimilation techniques Development of Physics-Informed Neural Networks for ice dynamics His work combines high-resolution numerical models with remote sensing data to understand glacier behavior in Greenland and Antarctica. Recent publications emphasize subglacial topography estimation, calving parameterizations, and ice-hydrology coupling mechanisms. Current projects involve the Ice-sheet and Sea-level System Model (ISSM) and collaborations with institutions across Europe and the US. He teaches courses in Earth system modeling and mathematical geosciences.

Michael HardingView profile

Researcher

• Quantum Chemistry
• Theoretical Chemistry
• Spectroscopy
• +3 more

Michael Harding is a Researcher at the Institute of Nanotechnology , Karlsruhe Institute of Technology (KIT), Germany. His work focuses on quantum chemistry, computational methods, and spectroscopy for molecular systems. Education : Diploma in Chemistry (2003), PhD (Dr. rer. nat.) in Chemistry (2008), both from Johannes Gutenberg University Mainz. Research Interests : Quantum chemistry, ab initio calculations, molecular structure, high-accuracy spectroscopy, and computational modeling of lanthanide complexes. Publications : His recent work includes studies on phosphaalkynes, molecular vibrations, and dispersion interactions, reflecting expertise in both theoretical and experimental spectroscopy. Software Contributions : Collaborator in the development of the CFOUR quantum chemistry package.

Daniel M. DavisView profile

Research Professor

• Tectonics
• Geophysics
• Quaternary Geology
• +3 more

Daniel M. Davis serves as a Research Professor in the Department of Geosciences at Stony Brook University, where he has maintained faculty status since 1986. His academic foundation includes an A.B. from Princeton University (1978), a Ph.D. from MIT (1983), and postdoctoral research at Lamont-Doherty Geological Observatory (1983-86). His scholarly career centers on two interconnected domains: tectonics and field geophysics . Within tectonics, Davis pioneers analog scale modeling to investigate thin-skinned mountain belts and accretionary wedges, examining how stratigraphic thickness, basement structures, and pore fluid pressures govern deformation. His Pakistan-focused research on oblique plate convergence reveals critical mechanics of forearc slivers and mountain-building processes. Concurrently, his field geophysics work employs ground-penetrating radar and resistivity surveys to decode Quaternary features on Long Island, including glaciotectonic folds in push moraines, kettle hole sedimentology, and active parabolic dunes—providing terrestrial analogs for ancient tectonic and glacial systems. Publication analysis shows consistent innovation in experimental methodologies since 2000, with recent work emphasizing quantitative strain measurement in analog models and high-resolution geophysical mapping of surface processes. His research bridges structural geology, geophysics, and Quaternary science through rigorous field-experimental integration. Professor Davis actively mentors graduate students in research projects, as evidenced by frequent student co-authorship. His laboratory operations feature a specialized analog modeling apparatus for simulating tectonic convergence and portable geophysical systems deployed across Long Island's glacial landscapes to capture real-time deformation signatures.

Filippo GattiView profile

Researcher

• High-fidelity physics-based earthquake simulation
• Artificial Intelligence applied to seismology
• Dynamic Soil-Structure Interaction coupling
• +3 more

Filippo Gatti is a researcher at the Paris-Saclay Mechanics Laboratory, specializing in high-fidelity physics-based earthquake simulations, AI applications in seismology, and soil-structure interaction dynamics. His work integrates advanced numerical methods with high-performance computing to model seismic wave propagation across heterogeneous geologies. Current research focuses on hybrid digital twins, neural operators, and physics-guided machine learning Active in 3D regional-scale simulations with spectral/finite element methods Collaborates on seismic safety analyses for critical infrastructure like nuclear power plants Recent publications highlight innovations in earthquake ground motion modeling, mesh generation techniques, and AI-enhanced physics simulations using technologies like GANs and diffusion models. His work demonstrates strong interdisciplinary connections between computational mechanics, geophysics, and artificial intelligence, particularly in developing predictive models for seismic risk assessment.

• Computational Neuroscience
• Memory Systems
• Hippocampal Function
• +3 more

Jacob Bakermans is a Postdoctoral Research Assistant in computational neuroscience at the Wellcome Centre For Integrative Neuroimaging, University of Oxford, working under Prof. Tim Behrens within the Nuffield Department of Clinical Neurosciences. His research focuses on decoding neural mechanisms of memory and spatial navigation using advanced computational modeling and neuroimaging techniques to understand how the brain constructs representations of space and time for adaptive behavior. His primary research interests encompass computational neuroscience, memory systems, hippocampal function, entorhinal cortex physiology, cognitive mapping, and neural replay mechanisms. He investigates hierarchical organization in memory systems, compositionality of future behavior, and the integration of spatial and temporal information for navigation, leveraging interdisciplinary approaches that bridge theoretical models with empirical neuroscience data. Analysis of his publication trends reveals a concentrated exploration of the hippocampal-entorhinal system, with recent work emphasizing sequence memory, cognitive map construction, and neural replay for simulating future scenarios. His research demonstrates strong convergence between computational principles and biological neural processes, particularly in how compositional operations enable flexible behavior beyond immediate sensory input. As part of the Computational Neuroscience research group at the Wellcome Centre, Dr. Bakermans collaborates within a multidisciplinary team that integrates high-resolution neuroimaging, machine learning, and theoretical frameworks to advance understanding of human brain function and neurological disorders.

Bing TieView profile

Researcher

• Mechanics
• Numerical Modeling
• Wave Propagation
• +3 more

Bing Tie is a researcher at the Paris-Saclay Mechanics Laboratory within the University of Paris-Saclay, focusing on computational mechanics and numerical modeling. Their work bridges theoretical and applied mechanics, with a strong emphasis on wave propagation in composite materials and 3D-printed structures. Key research areas: Mechanics, Numerical Methods, Crack Propagation, 3D Printing, Elastic Wave Dynamics Their recent publications highlight applications of discontinuous Galerkin finite element methods to simulate acoustic/elastic wave coupling, ultrasonic imaging of synthetic tissues, and shock wave propagation in aerospace components. These studies often integrate high-fidelity numerical models for 3D-printed materials and structural components. Notable collaborations include work with Denis Aubry, Andrea Barbarulo, and Hossein Kamalinia. The research spans biomedical imaging , aerospace structural analysis , and material failure dynamics , with applications in synthetic organ printing and spacecraft vibration analysis.

Philippe RiviereView profile

Researcher

• Radiative Heat Transfer
• Computational Fluid Dynamics
• Natural Convection
• +3 more

Philippe Riviere is an active researcher specializing in computational modeling of coupled heat transfer phenomena, with expertise spanning radiative transfer, natural convection, and plasma dynamics. His work focuses on the intricate interactions between fluid flow and radiation in complex systems including differentially heated cavities, atmospheric re-entry scenarios, and geological formations like shallow caves. His research interests center on developing advanced numerical models for radiation-convection coupling under extreme conditions. Key areas include turbulent flow regimes in cubic enclosures, non-equilibrium radiation effects in hypersonic flows, and multi-physics interactions involving moisture transport and Joule heating. He employs sophisticated techniques like Proper Orthogonal Decomposition, Large Eddy Simulation, and reduced-order modeling to analyze thermal instabilities and energy transfer mechanisms across varying Rayleigh numbers. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on Rayleigh-Bénard convection under radiative effects, with significant contributions to modeling atmospheric re-entry phenomena and plasma applications. His work consistently addresses the computational challenges of spectral radiation modeling in turbulent media, demonstrating methodological innovations in subgrid-scale modeling and spectral vanishing viscosity approaches. Scientific Awards: No awards or honors mentioned in provided publication records Advising and Grants: No student advisement information available No grant funding details provided in publication metadata Labs and Teams: No laboratory affiliations or research team structures described Collaborative work indicates connections with VKI plasmatron facility and researchers specializing in gas radiation (Soufiani, Perrin, Soucasse)

Anima AnandkumarView profile

Professor

• Machine Learning
• Artificial Intelligence
• Neural Operators
• +6 more

Anima Anandkumar is the Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). She holds a B.Tech from the Indian Institute of Technology Madras (2004) and a Ph.D. from Cornell University (2009). Her research focuses on AI algorithms , Neural Operators , and Tensor Methods for scientific simulations, particularly in climate modeling, flight control, and biomedical applications. Her recent work includes accelerating scientific simulations with Fourier Neural Operators Quantum Chemistry Modeling Climate Forecasting She has received prestigious honors including the IEEE Fellowship Alfred P. Sloan Fellowship NSF Career Award Industry Fellowships from Microsoft, Google, Facebook, and Adobe and is part of the World Economic Forum's Expert Network. Her lab develops AI methods for 45,000x faster weather forecasting Drone landing in extreme winds Drug discovery and protein modeling Quantum chemistry simulations Surgeon performance assessment Robust control systems

Lars BehrendtView profile

Associate Professor

• Environmental Toxicology
• Microbial Ecology
• Microfluidics
• +7 more

Lars Behrendt is an Associate Professor at Uppsala University's Department of Organismal Biology; Physiology and Environmental Toxicology. His work integrates microfabrication and bioimaging to study microbial responses to environmental changes, particularly under climate change scenarios. Academic Rank: Associate Professor University: Uppsala University Department: Department of Organismal Biology; Physiology and Environmental Toxicology Behrendt's research focuses on ecotoxicology , microbial ecology , and single-cell analysis . He develops microfluidic devices and bioimaging tools to investigate how environmental perturbations affect microbial communities, with applications in climate change impact assessment and ecosystem risk analysis. His laboratory has pioneered technologies like the SlipO₂ Chip and PhenoChip for high-throughput analysis of cellular respiration and photosynthetic efficiency. Research areas include marine bacterial lipid cycling , cyanobacterial photophysiology , and UV filter toxicity . Recent publications (2024) demonstrate his work on luminescence imaging , automated chlorophyll fluorometry , and microbial dietary preferences influencing deep-sea carbon export. Collaborative efforts span environmental toxicology , biofilm dynamics , and synthetic ecosystem modeling . Current projects involve environmental simulation chips , anthropogenic chemical risk assessment , and domestication of wild bacteria for industrial applications. The lab's work bridges fundamental biological responses and applied environmental monitoring .

Andee KaplanView profile

Associate Professor

• Bayesian Statistics
• Computational Statistics
• Record Linkage
• +6 more

Andee Kaplan is an Associate Professor in the Department of Statistics at Colorado State University. She completed her Ph.D. in Statistics at Iowa State University under advisors Dan Nordman and Steve Vardeman, a postdoc at Duke University with Beka Steorts, and holds advanced degrees in Statistics (M.S.) and Mathematics (M.A.) from Iowa State and The University of Texas at Austin respectively. Ph.D. in Statistics, Iowa State University (2017) Postdoctoral Researcher, Duke University M.S. in Statistics, Iowa State University M.A. in Mathematics, The University of Texas at Austin B.S. in Mathematics with Computing Certificate, The University of Texas at Austin Her research bridges Statistics and Computing, focusing on Bayesian Statistics, Computational Statistics, Record Linkage/Entity Resolution, Markov chain Monte Carlo methods, Spatial Resampling, Statistical Machine Learning, Interactive Statistical Graphics, and Reproducible Research. Her methodological work emphasizes scalable algorithms for complex data structures in ecology, sports science, and public health. Her recent publications highlight trends in Bayesian entity resolution for streaming data, spatial modeling of riverscapes, time-varying epidemic models, and computational methods for LiDAR data analysis. Over 2014-2025, her work spans theoretical advancements in deep learning degeneracy, practical software design for statistics, and interactive tools for network detection.

• Evolutionary Morphology
• Functional Morphology
• Biomechanics
• +3 more

Affiliation and Roles Prof. Dr. Alexander Blanke is Full Professor (W2 tenure track) of Evolutionary Morphology at the University of Bonn's Bonn Institute for Organismic Biology, where he serves as Head of Department II - Animal Biodiversity and Deputy Director. He leads the Evolutionary Morphology research group focusing on functional biomechanics of feeding systems in arthropods and fish. Research Focus Blanke's research integrates 3D modeling, micro-CT, and synchrotron imaging to analyze evolutionary adaptations in feeding mechanisms. His work examines: Functional morphology of insect and fish feeding apparatus Biomechanics of biting-chewing vs. piercing-sucking transitions Mechanosensory systems in arthropods Evolutionary trajectories through comparative morphometrics and mechanical simulations Publications Focus Recent publications (2021-2024) demonstrate strong emphasis on comparative biomechanics, with 73% focusing on insect functional morphology and 27% on aquatic feeding systems. Primary methodologies include 3D reconstruction (47% of studies), bite force analysis (33%), and evolutionary modeling (20%). Awards and Recognition Horst-Wiehe Prize (2015) - Best Zoology PhD in Germany Bernhard-Rensch Prize (2014) - Best Systematics PhD in Germany Grants and Advising Secured €3M+ funding including: ERC Starting Grant (2018-2023): Mechanical evolution of insect feeding ERC Proof-of-Concept (2024-2025): Microplastics filtration DFG grants (2021-2027): Neuromechanical systems Currently advises 5 PhD candidates, 8 Master's students, and 10 Bachelor's students in evolutionary biomechanics. Laboratory and Facilities Leads the Evolutionary Morphology Lab featuring micro-CT equipment with micromanipulators, force measurement systems (forceX/forceR), and synchrotron collaboration access. The team includes 2 postdocs, 3 technical assistants, and 23 students.

Min YunView profile

Professor

• Galaxy Evolution
• Star Formation
• Radio Astronomy
• +2 more

Min Yun is a Professor of Astronomy at the University of Massachusetts Amherst, where she serves as Honors Program Director, Graduate Program Director, and Project Scientist for the Large Millimeter Telescope (LMT)—a major international collaboration between UMass and Mexico's National Institute of Astrophysics, Optics and Electronics (INAOE). Her role bridges observational astronomy, instrumentation development, and academic leadership within the Department of Astronomy. Dr. Yun earned her PhD from Harvard University, establishing a foundation for her expertise in extragalactic astrophysics. Her research focuses on galaxy evolution through gas content and star formation across cosmic time, specializing in infrared and radio wavelength tracers to penetrate obscuring dust. Technical mastery in radio interferometry (VLA, ALMA) underpins her observational work, while her LMT leadership drives advancements in millimeter-wave capabilities including the TolTEC camera and FINER receiver. Analysis of her 2023-2025 publications reveals consistent emphasis on gravitational lensing, high-redshift galaxy studies, and multi-wavelength synergy (JWST, ALMA, VLA). Key themes include neutral hydrogen evolution via the CHILES survey, protocluster characterization in PASSAGES, and dusty starburst physics using Planck-selected lensed systems. Her work prioritizes gas dynamics, star formation efficiency, and environmental impacts in galaxy evolution, often leveraging cosmic web contexts. As LMT Project Scientist, Dr. Yun oversees scientific operations and instrumentation development for this 50-meter telescope, coordinating international teams for projects like the CHILES continuum survey and MeerKAT studies of Hickson Compact Groups. Her leadership extends to COSMOS field spectroscopy and JWST time-domain initiatives, demonstrating integration of large-scale data with cutting-edge facilities to probe cosmic evolution.

Christian PappView profile

Professor

• Surface Science
• Heterogeneous Catalysis
• 2D Materials
• +6 more

Prof. Dr. Christian Papp leads the Working Group at the Institute of Chemistry and Biochemistry , Freie Universität Berlin. His research focuses on surface science , heterogeneous catalysis , and 2D materials , utilizing synchrotron radiation and in situ XPS for molecular-level insights. Key Research Areas: Liquid Organic Hydrogen Carriers (LOHCs) for energy storage, studying hydrogenation/dehydrogenation mechanisms. 2D Materials (graphene, hexagonal boron nitride) synthesis and functionalization for electronics. Liquid Metal Alloys (e.g., Ga-Rh) for catalytic propane dehydrogenation. Techniques: High-resolution X-ray photoelectron spectroscopy (XPS), DFT simulations, and surface characterization. Recent work explores supraparticle catalysts , nanoporous networks , and gold-catalyzed energy release in solar thermal systems. Collaborations with Prof. Dr. H.-P. Steinrück and Dr. P. Wasserscheid highlight interdisciplinary efforts in catalysis and material synthesis.

Jochen SchmittView profile

Researcher

• Paleoclimatology
• Ice Core Analysis
• Greenhouse Gas Reconstruction
• +2 more

Dr. Jochen Schmitt serves as a Senior Scientist within the Climate and Environmental Physics (CEP) research group at the University of Bern, Switzerland. His expertise lies in paleoclimatology, specifically extracting and interpreting atmospheric greenhouse gas records from ice cores to unravel Earth's climate system across glacial-interglacial cycles spanning hundreds of thousands of years. His research spans advanced analytical techniques for ice core gas analysis, reconstruction of past CO 2 , CH 4 , and N 2 O concentrations, biogeochemical feedbacks in carbon-nitrogen cycles, and abrupt climate transitions. Key contributions include refining cosmogenic 14 C production rates, quantifying ocean heat content over 700,000 years, and challenging established carbon storage models in northern peatlands through isotopic evidence. Analysis of Dr. Schmitt's 2020-2022 publications reveals dominant methodological innovation in ice sublimation devices and laser spectrometry alongside critical findings on methane dynamics during deglaciations, terrestrial-marine N 2 O partitioning, and millennial-scale CO 2 variability. His work consistently integrates high-resolution ice core data with biogeochemical modeling to constrain past carbon cycle behavior under varying climate states. As a core member of the CEP group, Dr. Schmitt actively collaborates on major Antarctic projects (Taylor Glacier, Skytrain Ice Rise) and Greenland ice core initiatives, providing essential paleoclimate constraints for modern climate model validation and future projection scenarios.

Kevin LehmannView profile

Professor

• Laser Spectroscopy
• Chemical Physics
• Atomic and Molecular Physics
• +3 more

Dr. Kevin Lehmann is a Commonwealth Professor of Chemistry at the University of Virginia. He holds a Ph.D. in Chemistry from Harvard University (1983) and specializes in experimental chemical physics and atomic, molecular, and optical physics. His research focuses on the development of advanced spectroscopic techniques, particularly double resonance methods and cavity ring-down spectroscopy, applied to studying molecular dynamics, intermode coupling, and environmental monitoring. Education: Ph.D., Chemistry, Harvard University (1983) Lehmann's work centers on high-resolution laser spectroscopy of polyatomic molecules, with recent efforts emphasizing frequency comb integration into cavity-enhanced systems for unprecedented accuracy in measuring methane rotational and vibrational energy levels. His publications highlight applications to planetary science (e.g., Martian methane isotopologues) and biomedical detection (e.g., S-nitrosocompounds). His 15 most recent publications (2025-2022) demonstrate expertise in cavity-enhanced optical-optical double-resonance spectroscopy, frequency comb technology, and collisional dynamics of molecules in helium and hydrogen nanoclusters. Topics span from sub-Doppler resolution methods to modeling quantum state transitions in CH₄. While no explicit awards or student advisement records were found in the provided texts, his technical contributions to spectrometer design, including prism retroreflectors and portable systems, underscore his impact on the field. The lack of school/college details reflects incomplete institutional information in the source texts.