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Alex RichingsView profile

Lecturer

• Galaxy Formation
• Non-equilibrium Chemistry
• Cosmological Simulations
• +4 more

Dr. Alex Richings is a Lecturer in Data Science, Artificial Intelligence, and Modelling at the University of Hull, affiliated with the Centre for Data Science, Artificial Intelligence and Modelling (DAIM) and the E.A. Milne Centre for Astrophysics. He holds a PhD in Astrophysics from Leiden University (2015), with postdoctoral experience at Durham University (2018–2022) and Northwestern University (2016–2018). His research focuses on galaxy formation and evolution using numerical simulations, particularly modeling non-equilibrium chemistry in interstellar gas to interpret observations and refine cosmological models. Richings develops the CHIMES chemical model, which tracks ionization states and molecular abundances in simulations. He investigates molecular outflows driven by active galactic nuclei (AGN) winds and their role in galaxy evolution. His work bridges theoretical models with observational data, such as analyzing James Webb Space Telescope (JWST) surveys. He leads grants funded by NASA and the Royal Astronomical Society, focusing on molecular emission predictions and AGN-driven outflows. Richings teaches the 'Fundamentals of Data Science' module for the MSc in Artificial Intelligence and Data Science. He collaborates internationally and contributes to open-source software for astrophysical simulations. His research aims to understand gas cooling processes, star formation regulation, and the interplay between chemistry and radiation in galactic environments.

Shibin DaiView profile

Professor

• Applied Analysis
• Nonlinear Partial Differential Equations
• Phase-Field Models
• +3 more

Shibin Dai is a Professor and Graduate Program Director in the Department of Mathematics at the University of Alabama. His research focuses on applied analysis and nonlinear partial differential equations, with particular emphasis on phase-field models, coarsening dynamics, and materials science. His work addresses complex phenomena such as Ostwald ripening, bilayer evolution, and energy minimization in amphiphilic systems. Key research contributions include studies on the Cahn–Hilliard equation under various boundary conditions, degenerate mobility scenarios, and functionalized free energy models. His recent work (2020–2024) explores geometric evolution of interfaces, nonnegative solution properties, and rigorous derivation of mean-field models for thin film dynamics. He maintains an active research program involving geometric analysis, nonlinear PDEs, and numerical methods for phase separation processes. His work bridges mathematical rigor with applications in materials science and continuum mechanics. Selected articles highlight advancements in understanding coarsening rates, weak solution theory, and crossover phenomena in phase transition models. His research reflects a deep integration of analytical techniques with computational studies to model real-world material behavior.

Charles ChenView profile

Assistant Professor

• Genomics
• Bioinformatics
• Plant Genetics
• +3 more

Charles Chen is an Assistant Professor of Bioinformatics at Oklahoma State University (OSU), holding a dual affiliation with the Department of Biochemistry and Molecular Biology and the Institute for Biosecurity & Microbial Forensics (IBMF). His research office is located in Room 348G of the Noble Research Center in Stillwater, OK, where he conducts interdisciplinary work at the intersection of genomics, bioinformatics, and agricultural security. Dr. Chen's research program focuses on deciphering the genetic, environmental, and evolutionary mechanisms driving biological diversity, with particular emphasis on plant systems. His work spans: Genomic analysis of climate adaptation in conifers, wheat, and peanut Microbiome dynamics in agricultural biosecurity contexts Drought stress response mechanisms and breeding for climate resilience Development of computational frameworks for genomic prediction and breeding optimization Integration of UAV-based phenotyping with genomic data His recent publications (2023-2025) reveal a cohesive research trajectory centered on applying advanced genomic tools to solve pressing agricultural challenges. Key thematic areas include drought adaptation in forest trees and crops, genomic selection methodologies, and the fusion of computational biology with field-based phenomics. His work consistently bridges theoretical genomics with practical breeding applications, particularly in climate-vulnerable systems. Dr. Chen actively collaborates with the Oklahoma Wheat Commission and Oklahoma Wheat Research Foundation, as evidenced by his involvement in wheat microbiome projects. While specific advisees aren't listed in available materials, his research scope suggests mentorship of students in computational genomics and plant breeding. His work receives support from agricultural research initiatives focused on climate-resilient crop development. As a core member of OSU's Institute for Biosecurity & Microbial Forensics, he contributes bioinformatic expertise to agricultural security projects. His laboratory likely integrates high-performance computing with molecular biology approaches, maintaining collaborations across plant science, forestry, and computational disciplines to address food security challenges through genomic innovation.

Jasmine E. SarosView profile

Professor

• Paleolimnology
• Phytoplankton Ecology
• Lake Ecosystem Response to Climate Change
• +3 more

Dr. Jasmine E. Saros serves as Professor of Paleolimnology and Lake Ecology at the School of Biology and Ecology and the Climate Change Institute at the University of Maine. Her research combines paleolimnology and phytoplankton ecology to reconstruct environmental changes using diatom fossil records in lake sediments. Her approach integrates field observations and bioassays to develop testable hypotheses about ecosystem changes. Dr. Saros earned her Ph.D. from Lehigh University in 1999. Her research program focuses on lake ecosystem responses to global change across diverse environments including alpine, saline, and boreal lakes. Her research interests center on: Paleoenvironmental reconstructions using diatom fossils Phytoplankton community dynamics under climate change Nitrogen enrichment from glacial meltwater UV radiation effects on alpine phytoplankton Productivity patterns in saline lakes Integration of neo- and paleolimnological approaches Dr. Saros's recent publications demonstrate a focus on advanced imaging techniques applied to geological samples and environmental processes. Her work spans shale characterization, hydrogen generation, nanoscale fluid dynamics, and geochemical reactions in subsurface systems. The publications show consistent themes in energy geosciences, nanoporous material analysis, and computational geosciences. While no specific scientific awards are listed in the source material, her research has been published in high-impact journals including Nature, Environmental Science & Technology, and Limnology & Oceanography. Information about specific advisees, grants, laboratories, or teams was not provided in the source materials.

• Molecular Simulations
• Computational Chemistry
• Materials Design
• +3 more

Dr. Meenakshi Joshi is a researcher at the Max Planck Institute for Dynamics of Complex Technical Systems , leading the Molecular Simulations and Design group in Magdeburg, Germany. Her research focuses on theoretical and computational studies of transition metal complexes for electrocatalytic hydrogen evolution, molecular catalyst design, and advanced materials characterization. She holds a Ph.D. and has extensively contributed to the development of novel catalysts for energy storage and green hydrogen technologies. Her work integrates computational chemistry (DFT, molecular dynamics) with experimental techniques to explore catalytic mechanisms and material behaviors. Current projects include designing rigidified FeFe hydrogenase mimics and studying ligand effects on catalytic activity. Her address is Sandtorstrasse 1, 39106 Magdeburg, Germany and can be reached at mjoshi@dynamicsofcomplexsystems.mpg.de . Research interests span inorganic chemistry, catalysis, and computational modeling of energy-related systems. Recent studies highlight her group's work on manganese/ruthenium complexes and bridging dithiolate ligands for hydrogen production applications.

Gregory M. OdegardView profile

Professor

• Computational Mechanics
• Computational Materials Science
• Nanocomposites
• +5 more

Gregory M. Odegard is a University Professor and John O. Hallquist Endowed Chair in Computational Mechanics at Michigan Technological University's Department of Mechanical and Aerospace Engineering. He also holds an affiliation with the Materials Science and Engineering department. Odegard earned his BS in Mechanical Engineering from the University of Colorado at Boulder, and both his MS and PhD in Materials Science from the University of Denver. Before joining Michigan Tech in 2004, he worked as a researcher at NASA Langley Research Center. His research focuses on computational mechanics, nanocomposites, multiscale modeling, and polymer materials. He has authored over 60 journal articles, four book chapters, and secured $21 million in external research funding from agencies such as NASA, the Air Force, and NIH. Education: PhD, Materials Science, University of Denver MS, Mechanical Engineering, University of Denver BS, Mechanical Engineering, University of Colorado at Boulder Research Interests: Multiscale modeling of composites Computational chemistry and materials Thermomechanical properties of polymers Carbon nanotube and graphene-based nanocomposites Awards: Ralph R. Teetor Educational Award (2011) Ferdinand P. Beer Mechanics Educator Award (2008) Michigan Tech Outstanding Graduate Mentor Award (2008) Boeing/SDM Best Paper Award (2005) Odegard’s articles span topics like epoxy nanocomposites, carbon fiber-reinforced polymers, and radiation effects on materials. His work emphasizes molecular dynamics simulations and multiscale approaches to predict material behavior under extreme conditions.

Abril Castro AguileraView profile

Researcher

• Computational NMR Spectroscopy
• Transition-metal Complexes
• Ab Initio Molecular Dynamics
• +3 more

Abril Castro Aguilera is a Researcher at the Hylleraas Centre for Quantum Molecular Sciences, University of Oslo. She holds a PhD in Chemistry from the University of Girona (2017) and has held postdoctoral positions at the University of Guanajuato (Mexico) and the University of Oslo. Her research focuses on computational NMR spectroscopy of transition-metal complexes, ab initio molecular dynamics, relativistic quantum methods, and DFT modeling. Education: PhD in Chemistry, University of Girona, Spain (2017) Master of Science in Chemistry, University of Guanajuato, Mexico (2012) Bachelor of Science in Chemistry, University of Guanajuato, Mexico (2010) Her research interests include advancing computational methods for NMR prediction, particularly for metal complexes, and exploring relativistic effects in molecular dynamics. She has contributed to studies on CO₂ reduction catalysis, halogen-bonded systems, and supramolecular chemistry. Notable achievements include a Marie Skłodowska-Curie Fellowship (2019–2021) and the National Chemistry Prize for Best Master’s Thesis (2013). Her work has been supported by grants such as the Young Research Talent grant from the Research Council of Norway. Grants: Young Research Talent Grant (8 MNOK), Research Council of Norway (2021) Her lab focuses on theoretical chemistry, with ongoing projects on electrochemical CO₂ reduction mechanisms and relativistic effects in NMR spectroscopy.

Andreas GöranssonView profile

Research Fellow

• Science Education
• Biology Didactics
• Visual Learning
• +4 more

Andreas Göransson is a Postdoc at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) division. He holds a Master's in Biology (cell biology and human physiology) and is pursuing a PhD in science education. His research focuses on visual learning and communication in biology and molecular sciences, emphasizing the design of visualizations and simulations to enhance understanding of complex scientific phenomena like evolution. He has contributed to educational materials, including chapters in 'Biologididaktik för lärare', and explores how visualizations can clarify stochastic processes and scale-based concepts in science education. His work spans threshold concepts in evolution education, interactive design for causal models, and the role of context in student comprehension. He has collaborated on projects such as animations for antibiotic resistance and digital science center outreach. His research integrates educational theory with practical applications, aiming to bridge intuitive thinking and scientific explanations through innovative visual tools. Andreas has advised on educational resources and contributed to interdisciplinary teams in MIT and the Visual Learning and Communication group. His current focus includes graphic and interaction design for learning, with a commitment to translating research into impactful teaching strategies.

• Galaxy Formation and Evolution
• Astrophysical Theoretical Modelling
• Stellar Feedback Mechanisms
• +3 more

Claudia Lagos Urbina is an Associate Professor at the International Centre for Radio Astronomy Research (ICRAR) within The University of Western Australia. Her research focuses on galaxy formation and evolution, including theoretical modeling of gas accretion, star formation, and black hole dynamics. She holds roles as an ARC Research Fellow and journal referee for prominent astrophysical journals. Education and Previous Positions: PhD Candidate (2009-2012): Institute for Computational Cosmology, Durham University, UK European Southern Observatory Fellowship (2012-2015): Garching, Munich Research Interests: Galaxy co-evolution with supermassive black holes, multi-wavelength surveys, and cosmological simulations. Key areas include molecular gas dynamics, high-redshift galaxy observations, and dark matter halo interactions. Her work bridges theoretical models with observational data from facilities like ALMA. Recent Research Trends: Recent publications explore molecular gas distributions at z ~ 6, dust mass measurements in high-redshift galaxies, and merger dynamics in quiescent systems. These studies emphasize environmental impacts and cosmological structure formation. Awards and Grants: ARC Discovery Early Career Research Award (354,000 AUD) MERAC Postdoctoral Studies Award (150,000 EUR) Research Collaboration Awards (2014 & 2015) Grants and Projects (2021-2026): Leads 'Beacons in the Night' and SKA-era collaborations, focusing on dark matter illumination and galaxy surveys using advanced simulations. Co-investigator on multiple ARC and international grants. Labs and Teams: Active in ICRAR's astrophysics research groups and international collaborations like the Cosmic Vine project and DEVILS survey.

• Biophysics
• Microbial Physiology
• Gene Expression Dynamics
• +3 more

Jing He is a part-time faculty member in the Department of Physics & Astronomy at the University of Pittsburgh's Dietrich School of Arts and Sciences. Their research focuses on interdisciplinary studies at the interface of biophysics, bacterial physiology, and computational modeling. Dr. He's work explores gene expression dynamics in bacterial cells, mechanisms of bacterial motility, and the application of machine learning in biochemical systems analysis. Education: PhD in Physics under the advisement of Dr. Xiao-lun Wu. Research interests include quantitative analysis of gene expression variability, bacterial swimming behavior modulation by chemotactic proteins, and development of predictive models for metabolic and motility systems. Notable findings include the discovery of amino acid starvation-induced growth arrests and the role of CheY protein in Vibrio alginolyticus reorientation dynamics. Research trends in their publications emphasize machine learning applications in drug discovery, enzyme kinetics modeling, and SARS-CoV-2 molecular mechanisms. Techniques employed include in silico screening, molecular dynamics simulations, and advanced data analysis methodologies. Collaborations with Prof. Fu have enabled theoretical modeling of flagellar dynamics in polar bacteria. Key contributions include novel methods for predicting catalytic constants using neural networks, optimization of pharmacokinetic modeling for antimalarial drugs, and analysis of viral spike protein mutations. Current work bridges microbiology, physics, and computational biology to address fundamental questions in cellular behavior and drug development.

• Climate Science
• Paleoclimatology
• Geochemistry
• +3 more

Professor Dominik Fleitmann is an academic specializing in paleoclimatology and geochemistry, with a focus on reconstructing past environmental conditions using speleothem records. His research spans topics such as climate variability, human migration patterns, and environmental interactions across regions including the Arabian Peninsula, Mediterranean, and Brazil. Key contributions include studies on Holocene climate dynamics, isotopic analysis of stalagmites, and the development of global databases like SISAL for speleothem data. His work integrates computational modeling, field studies, and interdisciplinary collaborations. Research interests: Climate science, geochemistry, paleoenvironmental reconstruction, human migration studies, and speleothem geochemistry. Key regions studied: Arabian Peninsula, Mediterranean, Brazil, and Central Europe. Methodologies: Speleothem isotopic analysis, noble gas thermometry, molecular dynamics simulations, and archaeological correlations. Recent publications highlight his contributions to understanding glacial-interglacial transitions, Heinrich events, and the societal impacts of climate shifts in historical contexts. Despite no explicit mention of university or department, his collaborative work suggests affiliation with institutions focused on Earth sciences and environmental studies.

• Atom Probe Tomography
• Cryogenic sample preparation
• Interfacial Reaction at the Liquid-Solid Interface
• +4 more

Dr. Tim Schwarz is a Group Leader and Walter-Benjamin Fellow at the Max Planck Institute for Sustainable Materials, leading the research group on 'Interfacial processes/reactions at the atomic scale'. He holds a Ph.D. in Materials Science from RWTH Aachen University (2024) and prior degrees from the University of Stuttgart. His work focuses on advanced materials characterization using atom probe tomography (APT), cryogenic sample preparation, and interfacial reaction analysis. Research interests include atom probe tomography applications for biological and metallic materials, corrosion mechanisms, high-entropy alloys, and sustainable material recycling. He has pioneered cryo-APT techniques for analyzing liquids and biomolecules at near-atomic resolution. His research addresses challenges in hydrogen diffusion, interfacial reactions, and functional material design. Notable contributions include cryogenic processing of alloys, in-situ corrosion analysis, and optimizing APT methodologies for complex systems. His work bridges fundamental materials science with industrial applications in energy and biomedical fields.

Yunzhi WangView profile

Professor

• Materials Science and Engineering
• Computational Materials Science
• Phase-Field Modeling
• +9 more

Yunzhi Wang is a Professor in the Department of Materials Science and Engineering at The Ohio State University, affiliated with the College of Engineering. He specializes in computational and experimental materials science, focusing on phase transformations, structural/functional materials design, and ICME tools development. His research integrates advanced computational methods like phase-field modeling, diffusive molecular dynamics, and STZ theory with experimental validation. He holds numerous awards, including the TMS Fellow Award (2024) and the William Hume-Rothery Award (2024). He has advised over 300 publications and collaborated with major industries and national labs. Education: B.S. and M.S. in Metallurgy from Northeastern University (China), Ph.D. in Materials Science and Engineering from Rutgers University (1995). Professional experience includes roles as Assistant (1996–2002), Associate (2002–2005), and Full Professor (2005–present) at OSU. Research interests include microstructural evolution in alloys, phase-field modeling, high-temperature superalloys, high entropy alloys, and metallic glasses. His work bridges computational techniques with industrial applications, advancing alloy design principles and deformation mechanisms. He has pioneered methods like phase transition graphs (PTG) and heterogeneously randomized STZ models. Awards and recognitions include the Cyril Stanley Smith Award (2020), Fraunhofer Bessel Research Award (2012), and NSF CAREER Award (2007). His contributions to ICME have influenced aerospace, automotive, and energy sectors through collaborations with companies like GE, Pratt & Whitney, and software developers. Advising and grants: His students and postdocs work in industry and national labs. He leads large-scale projects funded by ONR, AFRL, and NSF, emphasizing multiscale modeling and experimental integration. Labs and teams: Active in computational materials research groups at OSU, collaborating with software companies (e.g., CompuTherm, Thermo_Calc) to develop commercial tools like PanPhaseField.

• Plant Developmental Biology
• Vascular Tissue Development
• Cell Division and Differentiation
• +4 more

Dr. Peter Etchells is an Associate Professor in the Department of Biosciences at Durham University, specializing in plant developmental biology. His research focuses on understanding plant vascular tissue development, particularly the coordination of cell division, differentiation, and tissue organization. He investigates signaling pathways such as the PXY-CLE41 module and explores symbiotic plant structures like domatia. His work integrates computational modeling, genetic approaches, and experimental biology to uncover molecular mechanisms governing vascular growth and patterning. Dr. Etchells’ research interests include vascular cell fate determination, light-dependent differentiation processes, and hormonal regulation (e.g., abscisic acid). He has contributed to studies on plant-microbe interactions, stem cell regulation in cambium, and the application of mathematical models to simulate vascular development. His lab also develops quantitative methods for analyzing plant morphology, enhancing experimental accuracy and data interpretation. Notable contributions include identifying key factors in cambium stem cell positioning and advancing methods to increase wood formation through PXY-regulated cell division. His work bridges fundamental science with potential applications in agriculture and biomass generation. He currently supervises four postgraduate students, focusing on topics like vascular biology and plant development. Dr. Etchells collaborates widely, contributing to interdisciplinary research in plant biology. His lab’s activities emphasize molecular genetics, cell biology, and computational analysis, with a focus on vascular tissue dynamics and developmental signaling pathways.

• Neurobiology
• Muscle Physiology
• Sensory Receptors
• +3 more

Robert Banks is a Visiting Professor in the Department of Biosciences at Durham University . His research focuses on neurobiology, particularly the structure and function of mammalian muscle spindles—mechanoreceptors critical for proprioception and motor control. Collaborations include work with Dr. M. Hulliger (Calgary) on pyridoxine-induced neuropathy and Dr. Guy Bewick (Aberdeen) on synaptic-like vesicles in sensory endings. Research Interests: Neurobiology of mechanoreceptors, neuromuscular physiology, sensory innervation dynamics, and applications in clinical contexts like nerve repair. Key topics include glutamate modulation in mechanosensory terminals and the role of ion channels (e.g., ENaC, ASIC3) in mechanotransduction. Recent Work Trends: Publications emphasize biophysical modeling of muscle spindle function, evolutionary aspects of sensory receptors, and molecular mechanisms underlying mechanotransduction. Collaborative projects address ALS-related neuromuscular dysfunction and integrative studies using multi-omics approaches. Labs/Teams: Active collaborations with institutions in Calgary and Aberdeen, focusing on sensory neuroscience and proprioceptive systems.