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Bradley D. OlsenView profile

Professor

• Polymer Science
• Materials Engineering
• Soft Condensed Matter Physics
• +4 more

Bradley D. Olsen is a full professor in the Department of Chemical Engineering at the Massachusetts Institute of Technology (MIT), where he leads research at the intersection of polymer science, soft matter physics, and bioengineering. His work focuses on designing materials for critical applications in biotechnology, hemostasis, and sustainable polymer development while advancing fundamental understanding of polymer network mechanics and self-assembly. Education: Ph.D. in Chemical Engineering, University of California Berkeley (2007) S.B. in Chemical Engineering, Massachusetts Institute of Technology (2003) Olsen's research spans protein-based materials, block copolymer phase behavior, and mechanochemical hydrogels. He has pioneered methods for quantifying polymer network topology, developing hemostatic nanoparticles, and creating bio-inspired materials for selective biomolecular transport and medical applications. His recent publications emphasize data-driven approaches to polymer characterization and educational outreach in materials science. Scientific Awards: American Physical Society (APS) Fellow (2023) Fulbright Amazonia Scholar (2023) Alexander and I. Michael Kasser Chair in Chemical Engineering (2021) ACS Macro Letters Young Investigator Award (2021) MIT Committed to Caring Honor (2019) AIChE Owens Corning Early Career Award (2019) APS Dillon Medal (2018) Kavli Emerging Leader in Chemistry (2017) ACS Polymer Division Fellow (2016) Camille Dreyfus-Teacher Scholar (2015) Alfred P. Sloan Research Fellow (2014) NSF Career Grant (2013) NIH Postdoctoral Fellowship (2008-2009) Hertz Fellow (2003-2007) Barry M. Goldwater Scholarship (2002) Olsen has received significant grant support including NSF Career (2013) and AFOSR (2012) awards. His teaching activities include innovative international outreach like the 2025 soccer-themed science camp in Brazil. The Olsen Group at MIT explores advanced materials with applications ranging from trauma care to sustainable polymers.

• Inverse Problems
• Partial Differential Equations
• Mathematical Physics
• +3 more

Ali Feizmohammadi is an Assistant Professor, Teaching Stream (LTA) in the Department of Mathematics at the University of Toronto Mississauga, affiliated with the Mathematical and Computational Sciences division. His research focuses on inverse problems, partial differential equations, and geometric analysis. He holds a position emphasizing teaching excellence within the university's framework. His work addresses advanced mathematical challenges such as coefficient identification in subdiffusion equations, fractional Laplacian problems on Riemannian manifolds, and nonlinear elliptic equations on manifolds. Recent articles highlight contributions to the Calderón problem in various contexts, wave equation control, and spacetime finite element methods. No scientific awards or grants are explicitly listed in the provided information. He has not yet listed advisees in the available data. His research trends emphasize rigorous mathematical analysis of inverse problems in both classical and fractional PDE frameworks, with applications to geometric and control-theoretic questions. Dr. Feizmohammadi's work spans theoretical advancements in inverse problems, numerical methods for control systems, and the interplay between differential geometry and PDEs. His contributions address both fundamental theory and applied methodologies in mathematical physics and engineering.

Freddy BouchetView profile

Researcher

• Statistical Physics
• Climate Dynamics
• Turbulence
• +5 more

Freddy Bouchet is a Directeur de Recherche at CNRS and a Professeur attaché at École Normale Supérieure de Paris (ENS-PSL). His work bridges mathematical physics, climate science, data science, and statistical mechanics , focusing on turbulent flows, climate extremes, and large deviation theory . He will lead the Laboratoire de Météorologie Dynamique (LMD) starting 2025. Research Themes : Statistical mechanics of geophysical flows (Jupiter's jets, ocean currents). Large deviation theory for rare events in turbulence and climate. Non-equilibrium phase transitions in atmospheric/oceanic systems. Ensemble inequivalence in systems with long-range interactions. Scientific Awards : Three Physicists Prize Collaborations : Tapio Schneider, Antoine Venaille, J. Laurie, O. Zaboronski, B. Dubrulle, A. Venaille. Labs & Teams : Climate and Statistical Mechanics group at ENS de Lyon Future director of Laboratoire de Météorologie Dynamique (LMD/IPSL) Publications span climate dynamics, turbulence, statistical mechanics, and large deviation theory , with applications to Jupiter's atmosphere, ocean vortices, and non-equilibrium systems . His work often challenges paradigms like Tsallis non-extensive statistics.

• Fluid Mechanics
• Non-Newtonian Fluid Mechanics
• Multiphase Processes
• +7 more

Ivan C. Christov is an Associate Professor of Mechanical Engineering at Purdue University's School of Mechanical Engineering in West Lafayette, Indiana. His research focuses on fluid dynamics, non-Newtonian fluid mechanics, and multiphase processes, with applications in biomedical engineering, micro/nanotechnology, and advanced materials. He leads the Transport: Modeling, Numerics & Theory laboratory. Education: Ph.D., Northwestern University, 2011 M.S., Northwestern University, 2008 M.S., Texas A&M University, 2007 S.B., Massachusetts Institute of Technology, 2005 Research Interests: Soft hydraulics, computational science, scientific machine learning, nonlinear waves, and fluid-structure interactions. His work spans theoretical modeling, numerical simulation, and experimental validation in complex fluid systems. Publications: Recent work includes studies on flow-rate pressure-drop relations in deformable microchannels, physics-informed neural networks for particle dynamics, and fluid-structure interaction in cerebral aneurysms. Themes include microfluidics, elastohydrodynamics, and rheological characterization of soft materials. Awards: Fulbright U.S. Scholar (2022) Outstanding Engineering Instructor (multiple recognitions) Richard P. Feynman Distinguished Postdoctoral Fellowship (2013) Labs/Teams: Directs the Transport laboratory at Purdue, focusing on interdisciplinary research in fluid mechanics and computational methods. Collaborates on biomedical fluid dynamics and advanced materials characterization.

Mark WallaceView profile

Professor

• Membrane Biology
• Biophysics
• Optical Microscopy
• +3 more

Mark Wallace is a Professor of Chemistry at King's College London, affiliated with the Department of Chemistry and the Faculty of Natural, Mathematical & Engineering Sciences. He holds a Royal Society University Research Fellowship (2005–2016) and has been a lecturer at Oxford University before joining King's in 2016. His research focuses on membrane protein function and artificial membrane mimics, combining optical microscopy and nanotechnology. He earned a PhD from the University of Cambridge (2002) and postdoctoral training at Stanford University and the National Institute for Medical Research. Key research interests include membrane protein dynamics, lipid bilayer engineering, and single-molecule imaging. He has pioneered techniques like droplet interface bilayers and interferometric scattering microscopy. His work has led to patents and applications in molecular sensing and medical research. Awards include the 2002 Gregorio Weber Prize and the 2015 RSC Norman Heatley Award. He is actively involved in public outreach, including video podcasts and educational competitions. Recent publications emphasize artificial ion channels, nanoparticle formation monitoring, and mitochondrial protein dynamics. His lab collaborates with institutions like the London Centre for Nanotechnology and the Rosalind Franklin Institute. Over 30 students and researchers have been mentored, with active grants from EPSRC, Wellcome Trust, and BBSRC.

David CroydonView profile

Associate Professor

• Probability theory
• Diffusions on random fractals
• Scaling limits
• +5 more

David Croydon is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University. His research focuses on probability theory, particularly diffusions on random fractals and scaling limits of random walks on random graphs. He also investigates discrete integrable systems with random initial conditions. Dr. Croydon's primary research interests span several areas of probability theory and mathematical physics. His work centers on diffusions on random fractals and how these processes can be constructed as scaling limits of related random walks on random graphs. He has made significant contributions to understanding random walks on critical structures including Galton-Watson trees, uniform spanning trees, and percolation clusters. More recently, he has developed a growing interest in the behavior of discrete integrable systems such as the box-ball system, particularly when started from random initial conditions. His research often bridges theoretical probability with applications in statistical physics and mathematical physics. Dr. Croydon's recent publications demonstrate a dual focus on theoretical probability and mathematical physics. His work on random walks spans various structures including binary trees, critical percolation clusters, and uniform spanning trees. He has made significant contributions to understanding aging phenomena, heat kernel fluctuations, and scaling limits in random media. Simultaneously, his research on discrete integrable systems explores the connections between probability theory and soliton theory, particularly through the lens of the box-ball system and related models. These two research strands converge in his investigations of scaling limits and invariant measures for complex stochastic systems. Dr. Croydon's scientific contributions have been recognized through publications in top-tier journals across probability theory and mathematical physics, though specific awards are not mentioned in the available information. Dr. Croydon has supervised several doctoral students to completion, including Adam Bowditch (2017), George Andriopoulos (2019), Eleanor Archer (2020), and Takumu Ooi (2024). He has also served in advisory roles for other students including John Sylvester (2017). His collaborative research spans multiple international institutions, suggesting involvement in various research grants supporting his work in probability theory and mathematical physics. While specific lab names aren't mentioned, Dr. Croydon is part of the vibrant probability theory research group at the Research Institute for Mathematical Sciences (RIMS) at Kyoto University. His extensive collaborations with researchers worldwide, particularly in the UK, France, and Japan, indicate active participation in international research networks focused on stochastic processes, random media, and discrete integrable systems.

Rahul MangalView profile

Associate Professor

• Polymer physics
• colloids
• complex fluids
• +3 more

Rahul Mangal serves as an Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). His academic profile demonstrates expertise in polymer physics, colloids, complex fluids, nanocomposites, active matter, and liquid crystals. Dr. Mangal completed his PhD at Cornell University in 2016, followed by a post-doctoral fellowship at the University of Wisconsin Madison (2016-2017). He earned his B Tech-M Tech dual degree from IIT Kanpur in 2010. Prior to his academic career, he gained industry experience as a Manager at Reliance Industries Limited in Jamnagar, Gujarat from July 2010 to July 2012. His research program focuses on the experimental investigation of colloid-polymer interactions in nanocomposite systems. Specifically, his group studies how colloids (1-1000 nm) interact with polymeric hosts to influence fundamental properties including phase behavior, rheology, and colloidal diffusion. His work explores the novel properties that emerge when colloids are added to polymer melts, block copolymers, and liquid crystals, with applications in energy devices, photonics, and bio-medicines. Dr. Mangal's research has produced significant publications in high-impact journals including Nature Communications, Langmuir, and Macromolecules, demonstrating his contributions to understanding polymer-nanoparticle systems and their applications in energy storage technologies. Outstanding Graduate Teaching Assistant, Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University (2016) McMullen Fellowship, Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University (2012) His work bridges fundamental polymer physics with practical applications, particularly in developing advanced materials for energy storage solutions. Dr. Mangal maintains an active research program that continues to explore the complex behavior of polymer-nanoparticle systems to engineer materials with precisely controlled properties for targeted applications.

Luis F. Ayala H.View profile

Professor

• Advanced Reservoir Simulation
• Multiphase Flow in Porous Media
• Unconventional Reservoir Analysis
• +3 more

Luis F. Ayala H. is the Department Head and William A. Fustos Family Professor in the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State University. He holds dual summa cum laude degrees in Chemical and Petroleum Engineering from Universidad de Oriente (Venezuela), and M.S. and Ph.D. degrees from Penn State. His research focuses on computational fluid dynamics modeling of multiphase flow in unconventional reservoirs, hydrocarbon thermodynamics, and reservoir simulation. Education: Ph.D. (Petroleum and Natural Gas Engineering), Penn State University M.S. (Petroleum and Natural Gas Engineering), Penn State University Petroleum Engineering Degree, summa cum laude, Universidad de Oriente Chemical Engineering Degree, summa cum laude, Universidad de Oriente Research Interests: Advanced reservoir simulation, unconventional gas reservoir analysis (shale gas, tight sands), multiphase flow in porous media, hydrocarbon thermodynamics, and lattice Boltzmann methods. His work aims to improve predictive capabilities for unconventional reservoirs through quantitative modeling of multiphase transport dynamics. Key Awards: SPE Distinguished Member (2022) Fulbright-Colciencias Innovation Award (2016-2017) Howard B. Palmer Faculty Mentor Award (2022) Wilson Award for Excellence in Teaching (2008) Grants & Advising: He has led numerous research projects funded by industry and federal agencies, advising graduate students in energy systems and reservoir engineering. His administrative roles include service as executive editor for the SPE Journal and as an Administrative Fellow at Penn State’s Office of Research. Labs & Teams: His research group collaborates on projects involving advanced simulation tools for unconventional reservoirs, with a focus on multiphase flow dynamics and thermodynamic interplay in nano-pore systems.

• Nonlinear Dynamics
• Time Series Analysis
• Statistical Physics
• +5 more

Prof. Dr. Holger Kantz serves as Head of the research unit "Nonlinear Dynamics and Time Series analysis" at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany. He also holds an Adjunct Professorship (Honorprofessor) in Statistical Physics at the Institute of Theoretical Physics within the Department of Physics at the Technical University Dresden. Dr. Kantz's research spans multiple disciplines within nonlinear dynamics and statistical physics. His work focuses on time series analysis, nonlinear dynamics, stochastic processes, and complex systems. He has made significant contributions to understanding anomalous diffusion, extreme events prediction, and the statistical properties of chaotic systems. His research has applications in atmospheric science, climate modeling, power grid dynamics, and biological systems. Analysis of Dr. Kantz's recent publications reveals a strong interdisciplinary approach connecting statistical physics with climate science, energy systems, and scientometrics. His work demonstrates sophisticated applications of stochastic modeling to real-world complex systems, with particular attention to anomalous diffusion processes, extreme events, and predictability limits in chaotic systems. The publications show increasing methodological sophistication in handling nonstationary time series and developing predictive models for rare events. Dr. Kantz leads a research group focused on nonlinear dynamics and time series analysis at the Max Planck Institute. His work has significant implications for understanding and predicting complex phenomena across multiple scientific domains, from climate dynamics to power grid stability, with practical applications in risk assessment and system reliability.

Pietro de AnnaView profile

Associate Professor

• Environmental Fluid Mechanics
• Porous Media Dynamics
• Biogeochemical Processes
• +3 more

Pietro de Anna is an Associate Professor at the Institute of Earth Sciences (ISTE), University of Lausanne, since August 2021. He holds an Italian nationality and completed a Master's in Theoretical Physics (2009) at the University of Florence, followed by a PhD in Earth Sciences at the University of Rennes 1 (2012). His research focuses on reactive transport in porous media, filtration, and interactions between bacteriological activity and flow dynamics. He directs the Environmental Fluid Mechanics Laboratory since 2015, employing microfluidics, numerical simulations, and theoretical models to study coupled physical, biological, and chemical mechanisms in confined systems. He has published 21 peer-reviewed articles, teaches environmental science courses at the Bachelor's and Master's levels, and supervised two PhD theses and four postdoctoral researchers. His work includes investigations into microbial biomass accumulation in porous media, diffusion-limited mixing, and biocementation processes. Key research themes are spatial heterogeneity effects, chemotaxis, and quorum sensing in microbial systems. He has pioneered methods combining microfluidics with microscopy to analyze transport at pore scales.

Yong ZhangView profile

Professor

• Hydrogeology
• Hydrology
• Environmental Geochemistry
• +4 more

Yong Zhang is a Professor in the Department of Geological Sciences at the University of Alabama, serving as Undergraduate Program Director. His research focuses on stochastic hydrology, contaminant transport in soil/water/aquifers (including heavy metals, PFAS, microplastics, and antibiotics), and surface water-groundwater interaction. He has held postdoctoral positions at the University of California, Davis; Desert Research Institute; and Colorado School of Mines. Current research includes the 'Groundwater 2070' project in Baldwin County, Alabama, addressing climate change impacts and seawater intrusion. Education: BS in Hydrogeology and Geo-Engineering (Nanjing University, 1993), PhD in Hydrology and Water Resources (Nanjing University, 1998). He teaches courses like GEO 101, GEO 306, and specialized topics such as Fractional Calculus and Hydrogeophysics. His work integrates fractional calculus with hydrogeology, yielding models for non-Fickian transport and pollutant source identification. Students under his advisement include Jonathan Frame, Chaloemporn Ponprasit, and Hossein Gholizadeh. Research outputs emphasize environmental geochemistry, numerical modeling, and groundwater sustainability. Notable collaborations involve Dr. Geoff Tick on co-advised PhD students.

• Stochastic Analysis
• Rough Analysis
• Functional Ito Calculus
• +5 more

Prof. Rama Cont is a Statutory Professor of Mathematics at the University of Oxford and a Professorial Fellow at St Hugh's College . He serves as Director of the Centre for Doctoral Training in Mathematics of Random Systems , Faculty Member of the Stochastic Analysis Group , and Senior Research Fellow at the Institute for New Economic Thinking . Additional roles include Director of the Oxford Martin Programme on Systemic Resilience , Principal Investigator at the Oxford Suzhou Centre for Advanced Research , and Editor-in-Chief of Mathematical Finance . His research interests span pathwise methods in stochastic analysis, rough analysis, functional Ito calculus, mathematical modeling in finance, systemic risk, and data-driven decision systems. Recent publications focus on causal transport, rough volatility, and deep residual networks, reflecting his interdisciplinary approach to mathematics and finance. Functional Ito calculus and pathwise integration Rough volatility and financial market dynamics Systemic risk in financial networks Deep learning applications to finance and stochastic processes He has received prestigious awards including the Louis Bachelier Prize , SIAM Fellowship, Royal Society APEX Award, and IMA Fellowship. His editorial roles and seminar leadership underscore his influence in mathematical finance and stochastic analysis.

Cristine H LegareView profile

Professor

• Cognitive Science
• Cognitive Development
• Cultural Learning
• +5 more

Cristine H. Legare is a Professor of Psychology at The University of Texas at Austin, affiliated with the College of Liberal Arts. She directs the Center for Applied Cognitive Science and the Evolution, Variation, and Ontogeny of Learning Laboratory. Her work bridges cognitive science, cultural anthropology, and developmental psychology to explore how universal cognitive systems interact with cultural variability to shape learning and cultural evolution. Education: Ph.D. in Developmental Psychology from the University of Michigan (Culture and Cognition Program). Undergraduate studies at UC San Diego, double-majoring in Human Development and Cultural Studies. Research Interests: Cognitive development, cultural learning, global public health, STEM education, and the evolution of ritual behavior. Her projects span diverse populations, including studies in South Africa, Brazil, China, Vanuatu, and India. Grants & Funding: Supported by the National Science Foundation, John Templeton Foundation, and others. Her work addresses pressing issues in education and public health through interdisciplinary approaches. Recipient of the 2015 APS Janet Taylor Spence Award 2016 APA Boyd McCandless Award Labs & Initiatives: Founded the Center for Applied Cognitive Science to foster global collaborations between researchers and practitioners. Key projects include the RISE Project (healthcare rituals in India) and Thinkery Connect (museum-university partnerships). Teaching focuses on cognitive science of religion and coevolution of cognition/culture. Over 100 publications in top journals like Psychological Science and PNAS, with media coverage in NPR, Scientific American, and The Wall Street Journal.

Mengke LiuView profile

Assistant Professor

• Quantum Materials
• Topological Insulators
• Strongly Correlated Electron Systems
• +5 more

Mengke Liu is an Assistant Professor in the Department of Physics at the School of Natural Sciences and Mathematics, University of Texas at Dallas. They lead the Liu Quantum Matter Lab, focusing on experimental studies of quantum materials through advanced techniques like ultra-low temperature scanning tunneling microscopy (STM) and 2D transport measurements. Their research aims to uncover novel quantum phenomena and advance quantum technologies. Their research interests span quantum materials , with particular emphasis on topological insulators , strongly correlated electron systems , 2D semiconductors , and magnetic heterostructures . The lab explores fundamental interactions in exotic materials such as MnBi2Te4, Fe3GeTe2, and NbSe2 monolayers, combining experimental precision with theoretical insights. Recent publications highlight investigations into Dirac mass gaps , Kondo effects , and charge density waves in van der Waals systems. Their work demonstrates technical mastery in molecular beam epitaxy (MBE) and nanojunction fabrication , with recurring themes of defect control and quantum confinement shaping material properties. The Liu Quantum Matter Lab actively mentors students and maintains a collaborative environment with access to state-of-the-art cryogenic and high-field instrumentation. They offer postdoctoral opportunities focused on experimental innovation in quantum material characterization.

• Biophysics
• Molecular Motors
• Cytoskeletal Dynamics
• +3 more

Janet Sheung is an Assistant Professor of Physics at Scripps College, specializing in biophysical systems and cytoskeletal dynamics. She teaches courses such as Principles of Physics, Electronics Laboratory, and Senior Thesis in Physics/Biophysics. Her research focuses on the interplay between molecular motors, cytoskeletal networks, and active matter, with a particular emphasis on mechanical properties, transport phenomena, and microscopy innovations. Dr. Sheung's work explores how motor proteins like kinesin and myosin drive structural and mechanical changes in cytoskeletal composites, influencing DNA transport, phase separation, and stress propagation. She has pioneered customizable light-sheet microscopy techniques for visualizing these systems in vivo. Her studies integrate experimental and theoretical approaches to understand non-equilibrium dynamics in biological materials. Her articles highlight themes of motor competition, topological effects on DNA transport, and the design of advanced imaging tools. While no awards are explicitly listed, her contributions to biophysics and microscopy instrumentation are evident in her publication record. Advising and grant details are not provided in the available text, but her teaching and research roles suggest active involvement in student mentorship.