جست‌وجوی استاد و پژوهشگر

Amanda G. Henryمشاهده پروفایل

عضو هیئت علمی

• Hominin Dietary Ecology
• Plant Foods in Diets
• Phytolith Analysis
• +۳ مورد دیگر

Amanda G. Henry is an Assistant Research Professor of Anthropology at the Max Planck Institute in Leipzig, Germany. She leads the Max Planck Research Group on Plant Foods in Hominin Dietary Ecology, focusing on plant-based diets in early hominins, phytolith analysis, and starch grain studies as markers of dietary and environmental adaptation. Her work integrates archaeological, paleontological, and experimental methods to understand human evolution through dietary evidence. Dr. Henry holds a Ph.D. in Hominid Paleobiology from The George Washington University (2010) and a B.A. from Brown University (2002). Her research emphasizes Pleistocene hominin dietary ecology, including studies on Neanderthal food consumption patterns, Australopithecus sediba diets, and the role of cooking in early human diets. She pioneered the use of dental calculus microfossils to reconstruct ancient diets, contributing to debates about plant food utilization and meat consumption in hominin evolution. Her publications span 2007–2015, covering topics from starch grain thermal alteration to Neanderthal ecological adaptations. While no specific awards or grants are listed, her work demonstrates significant contributions to understanding hominin dietary strategies through interdisciplinary approaches. She teaches Biological Anthropology and actively contributes to research on hominin taxonomy and dietary inference methodologies. Dr. Henry’s research group focuses on plant-food ecology’s role in shaping human evolution, combining fieldwork, lab analysis, and theoretical frameworks to explore how dietary choices influenced hominin survival and adaptation across environments.

Jessica Hendyمشاهده پروفایل

مدرس ارشد

• Palaeoproteomics
• Zooarchaeology by Mass Spectrometry (ZooMS)
• Ancient Diets
• +۴ مورد دیگر

Jessica Hendy is a Senior Lecturer in Palaeoproteomics at the University of York's Department of Archaeology. Specializing in ancient protein analysis, she explores culinary practices, diets, and disease in prehistoric societies, with a focus on biomolecular methodologies. University of York (2019–present) Max Planck Institute for the Science of Human History (2016–2019) University of York (PhD, 2015) University of Auckland (BA, BSc, 2010) Her research integrates palaeoproteomics and ZooMS to investigate: Dietary biomarkers in archaeological contexts Origins of fermentation and dairying Protein preservation in dental calculus and ceramics Human-animal interactions through biomolecular data Recent publications highlight her work on: Beerstone proteomes for brewing history Multi-taxa dairy identification Viking Age organic artifacts Neolithic food globalization Diagenesis patterns in ancient proteins Salmon fishing and pottery adoption Her scientific awards include: Philip Leverhulme Prize (2019) General Anthropology Division Prize (2023) Max Planck Society Donors Award (2016) Humanities Research Centre Doctoral Fellowship (2015) As a supervisor, Jessica mentors PhD candidates like Charlotte Blacka (rapid proteomics), Eleanor Green (biomolecule substrates), and Jan Dekker (Mesolithic container technology). She co-supervises external students at Cambridge and British Columbia. She leads initiatives such as the BioArCh research group and directs postgraduate research (2021–2022). Currently on a 2023–2024 sabbatical , her work remains pivotal in biomolecular archaeology.

Zakhar Kabluchkoمشاهده پروفایل

استاد

• Stochastic Processes
• Convex and Integral Geometry
• Random Trees and Branching Processes
• +۵ مورد دیگر

Prof. Zakhar Kabluchko is a faculty member at the University of Münster, affiliated with the Institut für Mathematische Stochastik and the Mathematics Münster cluster of excellence. His research focuses on stochastic processes, convex and integral geometry, and probabilistic number theory. He holds a professorship and has contributed to high-impact publications in areas like random polytopes, stochastic geometry, and extreme value theory. His research interests include the study of random analytic functions, stochastic processes in high dimensions, and geometric probability. Notably, he has explored beta-star polytopes, Poisson zero cells, and the interplay between convex hulls and random walks. Kabluchko has also investigated applications of stochastic geometry in statistical mechanics and number theory. Recent work includes studies on high-dimensional limit theorems, propagation of chaos in spin systems, and the geometry of random simplices. He collaborates actively with researchers like Christoph Thäle and Vladimir Vysotsky, contributing to advancements in geometric probability and stochastic analysis.

Barbara AJ Lechnerمشاهده پروفایل

استادیار

• Surface Science
• Catalysis
• Nanomaterials
• +۳ مورد دیگر

Barbara AJ Lechner is a Rudolf Mößbauer Tenure Track Professor in the Department of Chemistry at the Technical University of Munich (TUM). Appointed in October 2020, she leads research in surface science and nanomaterials characterization at TUM's Institute for Advanced Study (TUM-IAS). Her work focuses on understanding dynamic processes in functional nanomaterials under realistic conditions, particularly model catalysts exposed to reactive gas atmospheres. Dr. Lechner received her Chemistry education at the University of Innsbruck, Austria, followed by a Ph.D. in Physics from the University of Cambridge in 2012. Her postdoctoral work was conducted at the Lawrence Berkeley National Laboratory under Prof. Miquel Salmeron before she joined TUM as a group leader at the Chair of Physical Chemistry. Dr. Lechner's research centers on the dynamic restructuring of functional nanomaterials, particularly how model catalysts behave under reactive gas conditions. Using advanced scanning tunneling microscopy with high temporal and spatial resolution, she investigates how the structure of metal clusters and oxide supports changes in real-time. Her work with precisely defined small clusters allows examination of how highly reactive particle structures form, decay, and influence material function. This research has significant implications for catalyst design and optimization. Analysis of Dr. Lechner's recent publications reveals a consistent focus on surface science and catalysis, with particular emphasis on in-situ characterization techniques. Her work spans fundamental surface processes on materials like iron oxide, titanium dioxide, and platinum surfaces, examining phenomena such as cluster sintering, surface reconstruction, and reaction mechanisms under realistic conditions. The integration of advanced microscopy techniques with controlled gas environments represents a distinctive approach in her research portfolio. ERC Starting Grant (2019) Fellow of the Bavarian Academy of Sciences and Humanities as one of the members of their "Young Academy" (2018) Marie Skłodowska-Curie Individual Fellowship (2017-2019) Max Auwachter Prize (2016) Humboldt Research Fellowship (2016-2017) Springer Thesis Prize (2013) Dr. Lechner has secured significant research funding through prestigious grants including the ERC Starting Grant and Marie Skłodowska-Curie Fellowship. Her research group develops and applies advanced microscopy techniques to study dynamic processes in catalytic systems. She collaborates extensively with researchers across TUM and international institutions, particularly focusing on understanding the fundamental mechanisms that govern catalytic activity and material stability under operating conditions. As a Rudolf Mößbauer Tenure Track Professor, Dr. Lechner leads a research group focused on the development and application of in-situ surface characterization techniques. Her laboratory employs scanning tunneling microscopy integrated with controlled gas environments to observe dynamic processes at the atomic scale. This approach allows her team to directly correlate structural changes with catalytic function, providing insights that could lead to more efficient and stable catalyst designs.

• Environmental Statistics
• Extreme Value Theory
• Climate Science
• +۳ مورد دیگر

Brook Russell is an Associate Professor in the Department of Mathematical and Statistical Sciences at Clemson University, affiliated with the College of Science. Their research focuses on developing statistical methods to analyze environmental data, particularly extreme value theory applied to climate systems. Russell holds a PhD in Statistics from Colorado State University and has taught courses in statistical methods and regression analysis. Education: PhD, Statistics, Colorado State University MS, Statistics, Colorado State University MA, Mathematics, University of Montana BA, Mathematics, William Jewell College Research Interests: Russell's work emphasizes statistical methodologies for extreme events in environmental contexts, such as precipitation extremes, ozone pollution, and climate modeling. They employ advanced techniques like spatial hierarchical models, max-stable processes, and penalized quantile regression to address these challenges. Key Awards: SAMSI Travel Award (2018) ASA Travel Award (2014) Colorado State University J. E. Moyal Applied Probability Award (2014) Advising & Grants: Russell advises multiple graduate and undergraduate students, including current advisees Elan Ding and Yidan Guo. They have pursued grants in environmental statistics, though many remain pending. Notable contributions include collaborations on climate extremes and ozone modeling. Labs & Teams: Active in interdisciplinary projects, Russell collaborates with environmental scientists and engineers to apply statistical methods to real-world challenges like air quality and precipitation modeling.

Michael Ryan Hansenمشاهده پروفایل

استاد

• Solid-state NMR spectroscopy
• Polymer science
• Energy storage materials
• +۵ مورد دیگر

Prof. Dr. Michael Ryan Hansen is a full Professor of Physical Chemistry at the Westfälische Wilhelms-Universität Münster, Germany, where he has led the Hansen research group since 2015. His group focuses on advanced solid-state NMR spectroscopy applied to polymers, supramolecular structures, functional inorganic materials, and energy storage systems. Prior to his current role, he was an Assistant Professor at Aarhus University’s iNANO and Department of Chemistry (2013–2015), and a research group leader at the Max Planck Institute for Polymer Research in Mainz (2010–2013). Education: PhD in Natural Sciences, Aarhus University, Denmark (2006) Cand. scient. (MSc equivalent) in Chemistry, Aarhus University, Denmark (2003) BSc in Physics and Chemistry, Aarhus University, Denmark (2001) Research Interests: Prof. Hansen’s work centers on the development and application of solid-state NMR techniques to study structure–dynamics relationships in materials. His group investigates fluorinated polymers, graphene nanoribbons, ionic conductors, zeolites, and supramolecular systems. A major focus is on energy-relevant materials, including lithium- and sodium-ion conductors, solid-state electrolytes, and thermally stable polymers for battery applications. Method development is another cornerstone of his research, involving advanced pulse sequences, wideline NMR, and the integration of DFT calculations. Scientific Contributions & Awards: Although specific awards are not listed, Prof. Hansen has authored over 150 peer-reviewed papers since 2015 in top-tier journals such as Journal of the American Chemical Society , Angewandte Chemie , and Advanced Materials . His work on pressure-induced dislocations in lithium argyrodites and the synthesis of curved graphene nanoribbons has been highly cited, reflecting significant impact in materials chemistry and energy storage. Research Group & Collaborations: The Hansen group comprises post-docs, PhD students, and master’s students working on projects funded by the German Research Foundation (DFG) and the Federal Ministry of Education and Research (BMBF). Collaborations extend across Europe and include partners such as Aarhus University, MPI Mainz, and international synchrotron facilities. The group operates state-of-the-art solid-state NMR spectrometers (400–850 MHz) and maintains strong ties with the university’s mechanical, electronics, and chemical workshops for custom instrumentation.

Claudia Nevesمشاهده پروفایل

مدرس ارشد

• Extreme Value Theory
• Spatio-Temporal Processes
• Asymptotic Statistics
• +۳ مورد دیگر

Claudia Neves is a Senior Lecturer in Statistics at King's College London, Department of Mathematics, since 2023, having previously held positions at the University of Reading (2015–2021) and the University of Aveiro, Portugal. She holds a Visiting Associate Professorship at the University of Lisbon (2024–present). Her research focuses on extreme value theory, spatio-temporal processes, and asymptotic statistics, with applications in climate science, environmental hazards, and finance. She leads the EPSRC-funded project on multivariate max-stable processes for hazard forecasting and serves on editorial boards, including REVSTAT-Statistical Journal and the Royal Statistical Society's Environmental Statistics Section. Education: PhD in Statistics and Operational Research (2006, University of Lisbon). Teaching since 1997. Awards: EPSRC Innovation Fellowship (2015–2021). Research highlights include modeling African flood drivers beyond El Niño and developing statistical tools for space-time extreme events. Collaborates with institutions globally, including the Centre for Sustainable Business at King’s and the Net Zero Centre. Active in interdisciplinary initiatives like EPRI Climate READi. Publications emphasize methodological advancements in extreme value analysis and applications to environmental risks. Ongoing work includes advancing spatio-temporal models for climate extremes and fostering sustainable research through King’s Net Zero initiatives.

Roberta L. Rudnickمشاهده پروفایل

استاد

• Geochemistry
• Petrology
• Continental Crust Evolution
• +۳ مورد دیگر

Roberta L. Rudnick is the Distinguished Professor in the Department of Earth Science at the University of California Santa Barbara. She holds a B.S. from Portland State University (1980), M.S. from Sul Ross State University (1983), and Ph.D. from The Australian National University (1988). Her career includes roles as Alexander von Humboldt Fellow at the Max Planck Institute (1987-1989), Research Fellow at ANU (1989-1994), and professorships at Harvard University (1994-2000) and the University of Maryland (2000-2016). Her research integrates petrology and geochemistry with geophysics to study continental lithosphere composition, focusing on glacial diamictites and xenoliths to trace crustal evolution and surface processes. Key research areas include continental crust formation, geochemical cycling, and the role of metamorphic processes. She leads the Continental Geochemistry Group, investigating topics like crustal heat production, lower crust composition, and halogen enrichment mechanisms. Her work is supported by prestigious fellowships from AGU, GSA, and membership in the U.S. National Academy of Sciences. Rudnick advises four graduate students and has authored over 150 publications, including landmark studies on crustal composition and isotope geochemistry. Her recent work emphasizes the use of diamictites to track Earth’s atmospheric and crustal evolution over billions of years.

Feliks Nüskeمشاهده پروفایل

استاد پژوهشی

• Data-driven modeling
• Molecular simulation
• Koopman operator theory
• +۶ مورد دیگر

Dr. Feliks Nüske is a Max Planck Group Leader at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, leading the Data-driven Modeling of Complex Physical Systems research group. He also holds a position as Guest Professor at Freie Universität Berlin (2023-2024). His research bridges applied mathematics, data science, and molecular simulation to develop novel algorithms for understanding complex physical systems at the molecular level. Dr. Nüske's educational background includes: Ph.D. in Mathematics from Freie Universität Berlin (2012-2017) Postdoctoral research at Universität Paderborn (2019-2022) and Rice University (2017-2019) His research focuses on developing data-driven methods that combine physical insights with machine learning to extract meaningful information from molecular simulation data. Key areas include Koopman operator theory for analyzing nonlinear dynamical systems, dimensionality reduction techniques, tensor methods for efficient computation, and kinetically consistent coarse-graining approaches. His work enables more efficient modeling of complex molecular processes that would otherwise be computationally prohibitive. Dr. Nüske's publication record shows a consistent trajectory of advancing both the theoretical foundations and practical applications of data-driven modeling in molecular science. His recent work emphasizes error analysis for data-driven models, control of stochastic systems, tensor-based dimensionality reduction, and methods to preserve kinetic properties in coarse-grained models. These contributions address critical challenges in scaling molecular simulations to biologically relevant timescales and system sizes. Dr. Nüske actively collaborates with researchers worldwide and has established partnerships with leading institutions including Freie Universität Berlin, Rice University, and TU Ilmenau. His collaborative network spans multiple disciplines, connecting mathematicians, chemists, and computational scientists. Dr. Nüske advises several Ph.D. students at the Max Planck Institute, including Vahid Nateghi, Lei Guo, Minakshi Verma, and Hauke Sprink. He has organized workshops on Uncertainty Quantification for molecular systems and regularly presents at major international conferences including SIAM MS, MTNS, and IMSI workshops. His research group continues to push the boundaries of what's possible in computational molecular science through innovative mathematical approaches.

Boris Berangerمشاهده پروفایل

مدرس ارشد

• Extreme Value Theory
• Environmental Extremes
• Spatial Statistics
• +۳ مورد دیگر

Boris Beranger is a Senior Lecturer in Statistics and Data Science at the School of Mathematics and Statistics, UNSW Sydney . He is also a member of the UNSW Data Science Hub (uDASH) and previously served as an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) . His research spans theoretical and applied statistics, focusing on Extreme Value Theory (environmental, financial, and insurance applications) and Symbolic Data Analysis (complex/non-standard data structures). Education: PhD in Statistics (Université Pierre and Marie Curie & UNSW, 2016), MSc in Mathematics (Université Pierre and Marie Curie, 2011) Research Trends are evident in: High-dimensional extremal dependence modeling (ExtremalDep package) Spatial extremes and max-stable processes Symbolic/histogram/interval-valued data analysis Composite likelihood and aggregated data methods Tail density estimation via kernel methods Scientific Awards & Grants include: J.B. Douglas Award for Postgraduate Excellence (2014) Multiple ARC ACEMS Research Support Schemes Discovery Project DP220103269 ($405,000) for modeling real-world extremes Supervision covers PhD, Masters, and Honours students in areas like Symbolic Data Analysis, Spatial Extremes, and Statistical Computing. He also co-organized workshops and served as Vice-President (2025-26) of the Statistical Society of Australia's NSW Branch.

• Algorithms
• Complexity Theory
• Probability
• +۵ مورد دیگر

James R. Lee is a Professor in the Department of Computer Science at the University of Washington, with a focus on algorithms, complexity, and the theory of computation. He is affiliated with the UW Theory Group and currently on leave at Microsoft Research, which may delay responses to UW emails. Research Interests: Algorithms, complexity, geometry/discrete-continuous interfaces, probability, stochastic processes, metric embeddings, spectral graph theory, convex optimization. Recent Work Trends: Sparsification of generalized linear models and norms, spectral hypergraph methods, entropic regularization for metrical task systems, and analysis of scaling exponents in random graphs. His papers address sparsifier existence, lower bounds for SDP/LP relaxations, and geometric random walk properties. Scientific Awards: Best Paper Award at STOC 2015. Students: Farzam Ebrahimnejad, Ewin Tang, Yichuan Deng (co-advised with Shayan Oveis-Gharan, Shirshendu Ganguly, and others). Email: jrl@cs.washington.edu

Wiebke Mohrمشاهده پروفایل

پژوهشگر

• Marine Biogeochemistry
• Microbial Ecology
• Element Cycling
• +۴ مورد دیگر

Wiebke Mohr is a Researcher in the Biogeochemistry Group at the Max Planck Institute for Marine Microbiology in Bremen. Her work focuses on microbial and geochemical processes governing oceanic element cycles, particularly nitrogen fixation, sulfur cycling, and microbial symbiosis. She investigates how microorganisms interact with their environments to influence global biogeochemical cycles and climate. Research interests include marine microbial symbioses, nutrient dynamics in oligotrophic oceans, and the role of microorganisms in carbon and nitrogen cycling. Her studies span from microbial interactions in seagrass ecosystems to large-scale oceanographic processes, such as methane formation and diazotroph distribution. Publications highlight her contributions to understanding nitrogen fixation in novel symbiotic systems, methane production linked to oceanic primary production, and global biogeochemical modeling. Collaborations involve interdisciplinary approaches, including field expeditions and lab-based experiments. Wiebke Mohr’s work bridges microbial ecology with biogeochemistry, addressing critical questions about marine ecosystem functions and their responses to environmental changes.

• 3D Computer Vision
• Shape Modeling
• Virtual Humans
• +۴ مورد دیگر

Victoria Fernandez Abrevaya is a post-doctoral researcher at the Max Planck Institute for Intelligent Systems (Perceiving Systems department) in Germany. She holds a PhD from Inria Grenoble (France) under Professors Edmond Boyer and Stefanie Wuhrer, and a MSc in Computer Science from the University of Buenos Aires, Argentina. Her work focuses on 3D reconstruction and understanding of humans from 2D data, with emphasis on facial animation, neural rendering, and generative models. Research interests: 3D computer vision and shape modeling Neural rendering techniques Diffusion models for motion and appearance synthesis Biometric fairness in face analysis Real-time face capture systems Geometry-constrained multi-human rendering Recent work explores occluded face expression reconstruction (OFEr 2025), interactive dynamics modeling (InterDyn 2025), and latent realignment for motion diffusion (Lead 2025). Her SPARK system (2025) enables real-time monocular face capture through self-supervised learning. Prior contributions include FLAME (2023), a popular 3D face model framework, and work on multilinear autoencoders for dynamic facial analysis (2018). She co-developed ImAvatar (2022), an implicit morphable head avatar system from videos.

Holger Dreesمشاهده پروفایل

استاد

• Actuarial Mathematics
• Financial Time Series Modeling
• Extreme Value Statistics
• +۳ مورد دیگر

Prof. Dr. Holger Drees is a Professor of Actuarial Mathematics at the University of Hamburg, affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. He holds a position in the Department of Mathematics, specializing in the ST – Mathematical Statistics and Stochastic Processes research group. His office is located at Bundesstraße 55, Room T15 in Hamburg. He earned his diploma in mathematics from the University of Dortmund (1990), his PhD from the University of Siegen (1993), and his habilitation from the University of Cologne (1998). His research focuses on extreme value theory, actuarial mathematics, financial time series modeling, and non/semiparametric statistics. He is a member of the Hamburger Zentrum für Versicherungswissenschaft (HZV) and serves as an Associate Editor for *Bernoulli* and *Extremes* journals. His recent research emphasizes statistical inference on extreme value dependence structures, cluster-based methods for time series extremes, and dimension reduction techniques for multivariate extremes. His work bridges theoretical advancements in extreme value analysis with practical applications in finance and insurance. Teaching activities include advanced courses on extreme value theory and actuarial mathematics. Professional contributions include editorial roles and collaborative projects on statistical methodologies for extremes. His research has been supported by grants such as the DFG Heisenberg grant (2000–2002). He maintains an active international research network, collaborating with institutions like the University of Cologne and the University of Heidelberg.

Ranko Richertمشاهده پروفایل

استاد

• Physical Chemistry
• Materials Science
• Glass Transition Phenomena
• +۳ مورد دیگر

Ranko Richert is a Professor of Chemistry and Biochemistry at Arizona State University's School of Molecular Sciences. His research focuses on the physical chemistry of soft materials and glass transition phenomena, utilizing advanced dielectric relaxation techniques. He holds a Ph.D. in Physical Chemistry (summa cum laude) and a Diplom in Physics (magna cum laude) from Marburg University, Germany. Before joining ASU in 1999, he conducted postdoctoral research at Tel Aviv University and the Max Planck Institute for Polymer Research in Mainz. His work explores structural and dynamic properties of supercooled liquids, glasses, and confined materials, with a focus on dielectric spectroscopy and nanocalorimetry. Richert is affiliated with the Biodesign Center for Sustainable Macromolecular Materials and Manufacturing and the Center for Biological Physics. Education highlights include a Habilitation degree (1991) and a Minerva Fellowship (1992-93). His research group investigates phenomena such as phase transitions, confinement effects, and interfacial dynamics using cutting-edge equipment for dielectric measurements across extensive temperature and frequency ranges. Key findings include insights into vapor-deposited glasses, polyamorphism, and controlled crystallization via electric fields. Publications span over 300 articles, emphasizing experimental and theoretical advances in glass dynamics, ionic liquids, and quantum effects in water. His lab's studies on structural recovery and aging mechanisms have advanced understanding of non-equilibrium dynamics in soft matter systems.