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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.

• Polymer Chemistry
• Materials Science
• Ionic Liquids
• +3 more

Christopher Evans is an Associate Professor in the Department of Materials Science and Engineering at the University of Illinois, affiliated with the Materials Research Lab. His research focuses on polymer chemistry and materials science, particularly dynamic covalent bonds, ionic liquids, and polymer networks. He has received notable awards including the 3M Non-Tenured Faculty Award (2020) and NSF CAREER Award (2018). His work explores topics like ion transport in block copolymers, dynamic network viscoelasticity, and solid electrolyte conductivity improvements through helical peptide structures. Recent studies include investigations into penetrant diffusion, crosslink density effects, and thermal conductivity in vitrimers. Evans collaborates widely, addressing challenges in recyclable materials, energy storage, and polymer morphology.

• X-ray astronomy
• Galaxy clusters
• Inverse Compton scattering
• +10 more

Dan Wik is an Associate Professor in the Department of Physics & Astronomy at the University of Utah . His research focuses on observational X-ray astronomy, particularly galaxy clusters, inverse Compton scattering, X-ray binaries, and the X-ray background. He has extensive experience in data calibration, analysis tool development, and mission collaborations such as NuSTAR, Chandra, and XRISM. Wik holds a PhD in Astronomy from the University of Virginia (2010) and a BS in Astrophysics from Ohio University . His research interests span galaxy cluster mergers, nonthermal emission processes, high-energy astrophysics, and cross-calibration studies between X-ray observatories. Recent articles highlight his work on NuSTAR observations of galaxy clusters, X-ray binary populations in M31 and M33, inverse Compton emission constraints, and stray light background analysis techniques. His studies often integrate multiwavelength data and address cosmological implications of X-ray observations. Wik has received multiple grants from NASA for projects like Time Domain X-ray Studies of AGN and Hard Bandpass Extension of XRISM Cluster Observations . He supervises undergraduate and graduate researchers and teaches courses from general education to advanced graduate levels, including Foundations of Astronomy and High Energy Astrophysics .

Christopher FetschView profile

Assistant Professor

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +9 more

Christopher Fetsch is an Assistant Professor of Neuroscience at Johns Hopkins University, affiliated with the Zanvyl Krieger Mind/Brain Institute. He leads the Fetsch Lab, which investigates the neural mechanisms underlying multisensory perception and decision-making using nonhuman primates. His research integrates quantitative behavioral modeling, neural recordings, and optogenetic manipulations to understand how the brain processes ambiguous sensory information. His research focuses on systems, cognitive, and computational neuroscience, particularly how visual and vestibular cues are combined to perceive self-motion and environmental dynamics. The lab employs advanced technologies such as flight simulators and virtual environments to deliver controlled 3D motion stimuli while recording neural population activity. A key interest is in bounded accumulation models of decision-making and the neural basis of metacognition and confidence. The recent publications reflect a strong trend in understanding neural circuit mechanisms of perception and decision-making, with emphasis on causal dissection using optogenetics, computational modeling of evidence accumulation, and multisensory integration in primates. His work bridges experimental neuroscience with theoretical frameworks in cognitive science. AAV-mediated expression of Jaws in macaque cortex Bounded accumulation model for decisions Neural basis of multisensory decisions Optogenetic circuit dissection Confidence and posterior odds modeling Dr. Fetsch is actively involved in interdisciplinary research, including membership in the Foundations of Mind group at Johns Hopkins, which fosters collaboration across philosophy, cognitive science, and neuroscience. His lab is part of the Center for Hearing and Balance, indicating institutional integration and collaborative funding. While specific grants are not listed, the lab's technological sophistication implies substantial research support. The Fetsch Lab is located in Krieger Hall and is actively engaged in training and outreach, contributing to seminars and interdisciplinary events. The lab collaborates with experts in histology and neural engineering, as seen in joint image production with researchers from Columbia University and the University of Washington.

• Mathematical Analysis
• Scientific Computing
• Nonlinear Partial Differential Equations
• +6 more

David M Ambrose is a Professor in the Department of Mathematics at Drexel University's College of Arts and Sciences. His research focuses on mathematical analysis and computational methods for nonlinear partial differential equations in fluid dynamics, with emphasis on free boundary problems, vortex sheets, and mean field games. PhD in Mathematics, Duke University MS in Mathematics, Carnegie Mellon University BS in Mathematics and Economics, Carnegie Mellon University MA in Mathematics, Duke University A leading expert in fluid dynamics and nonlinear PDEs, Ambrose investigates problems like the Euler and Navier-Stokes equations, Kuramoto-Sivashinsky equation for flame fronts, and mean field games modeling economic interactions. His work bridges analytical theory with numerical algorithm development for interfacial flows and singularity formation. Recent publications span topics such as time-periodic solutions of the Benjamin-Ono equation, vortex sheet dynamics with surface tension, and non-separable mean field games. The 2018 T. Brooke Benjamin Prize in Nonlinear Waves from SIAM recognized his contributions to dispersive systems. NSF Grant DMS-2307638: Well-Posedness and Singularity Formation in Free Boundary Problems NSF Grant DMS-1907684: Mean Field Games with Partial Differential Equations NSF Grant DMS-1515849: Dynamics of Dispersive PDE He co-organizes the Drexel Waves Workshop series, most recently in 2023, advancing collaborative research in dispersive wave phenomena and fluid dynamics.

• Theoretical Physics
• Soft Matter Physics
• Active Matter
• +4 more

Prof. Abhinav Sharma is a Professor of Theoretical Physics II at the University of Augsburg, affiliated with the Mathematisch-Naturwissenschaftlich-Technische Fakultät. His research focuses on active matter, soft condensed matter physics, and non-equilibrium statistical mechanics, with contributions to understanding complex systems, Brownian dynamics, and material science. He advises PhD students including Bhavesh Valecha and Atharva Pandit, and collaborates with institutions globally. His work emphasizes interdisciplinary approaches, combining theoretical frameworks with experimental insights. Education: PhD in Physics from Technische Universiteit Eindhoven (2011), specializing in organic field-effect transistors and charge transport. Notable research themes include active particles, chiral transport, and non-equilibrium systems. Over 60 peer-reviewed publications since 2006, with recent contributions in Soft Matter , Physical Review Letters , and Science Advances . Research interests span theoretical and computational studies of soft matter, biophysical systems, and active matter, addressing questions in fluid dynamics, polymer physics, and stochastic processes. His lab investigates phenomena such as cargo transport, anomalous diffusion, and critical slowing down in disordered networks.

• Psychiatry
• Neurosciences
• Adolescent Mental Health
• +9 more

Tony Yang, MD, PhD , is a Professor in the School of Medicine at the University of California, San Francisco (UCSF) , and a key member of the UCSF Weill Institute for Neurosciences . His research is dedicated to understanding the neural mechanisms underlying adolescent psychiatric disorders, with a strong focus on major depressive disorder, trauma, and neurodevelopment. Dr. Yang's research interests span adolescent mental health , neuroimaging (particularly fMRI and connectome analysis), emotional processing , mindfulness-based interventions , and the neuropsychiatric consequences of traumatic brain injury . His work investigates how brain network connectivity, especially in regions like the amygdala and prefrontal cortex, is altered in depression and how these changes relate to symptoms and treatment response. He is also deeply involved in large-scale international collaborations, most notably the ENIGMA consortium , which allows for powerful, multi-site analyses of brain structure and function in psychiatric conditions. The trends in his publication record show a consistent and high-impact focus on using advanced neuroimaging and machine learning to identify biomarkers for depression and suicide risk. His articles frequently explore the structural and functional brain alterations associated with psychiatric disorders in youth, the effects of interventions like mindfulness and cognitive therapy, and the interplay between biological systems (e.g., gut microbiota, HPA axis) and brain health. Dr. Yang has been the Principal or Co-Principal Investigator on several significant NIH-funded research projects, including: NIH R61AT009864 : Neural mechanisms of meditation training in healthy and depressed adolescents. NIH R01MH085734 : A cross-sectional and longitudinal fMRI study of adolescent depression. NIH K23MH070791 : Magnetic Resonance Imaging in Depressed Adolescents. NIH F30MH010174 : An early grant in the Neurosciences. His research is conducted in collaboration with a wide network of scientists, including prominent researchers like Jeffrey Max, Martin Paulus, and Alan Simmons. He leads a research team that investigates brain circuitry in adolescents, utilizing MRI to study the effects of training programs like TARA (Training for Awareness, Resilience, and Action) and to understand the long-term psychiatric outcomes following pediatric traumatic brain injury.

• AI Alignment
• Reinforcement Learning
• Optimal Transport
• +4 more

Francesco Quinzan is a Researcher at the University of Oxford's Department of Computer Science. His work focuses on advancing AI alignment, causal machine learning, and combinatorial optimization with applications in medical imaging, reinforcement learning, and fair algorithm design. He leads the ELSA project under Prof. Marta Kwiatkowska's supervision. Research interests include: Safe AI development through causal representation learning and doubly robust methods Optimization techniques for submodular functions and evolutionary algorithms Counterfactual analysis for bias detection in medical AI systems Reinforcement learning frameworks incorporating human feedback Recent publications (2020-2025) demonstrate contributions to: Causal feature selection and invariant predictors Scalable optimization methods for large-scale problems Robustness in multi-agent systems and diffusion-based models Algorithmic fairness in constrained feature selection Current projects involve: ELSA: Developing explainable and safe AI systems Optimal transport applications for domain correction Causal discovery from temporal data streams

Jin-Han XieView profile

Assistant Professor

• Fluid Dynamics
• Geophysical Fluid Dynamics
• Turbulence
• +8 more

Jin-Han Xie is an Assistant Professor at the Department of Mechanics and Engineering Science, College of Engineering, Peking University, specializing in fluid dynamics with a focus on geophysical fluid dynamics, turbulence, magnetohydrodynamics, and microfluidics. He holds a PhD in Applied and Computational Mathematics from the University of Edinburgh and a B.Sc. in Theoretical and Applied Mechanics from Peking University.

Alasdair BrownView profile

Associate Professor

• Betting Markets
• Behavioural Finance
• Experimental Finance
• +3 more

Alasdair Brown is an Associate Professor of Economics at the University of East Anglia, School of Economics. His expertise lies in financial economics, focusing on betting markets, behavioural finance, experimental finance, and market microstructure. He holds a PhD from SOAS, University of London (2012), an MSc from Birkbeck College (2008), and a BSc from the University of Birmingham (2005). He has supervised PhD students including Han Lin, Fei Liu, and Binwei Chen. His research has been supported by grants such as the British Academy Fellowship and the William R. Eadington Fellowship. His work has explored topics like cash-out betting, forecasting accuracy, and market efficiency through studies in sports and financial contexts. Alasdair has presented at leading conferences including the Royal Economic Society and the European Finance Association. He teaches courses in financial markets and international finance, and has held administrative roles such as Chair of the Undergraduate Exam Board. His research outputs include influential articles on betting market structures, cognitive biases in financial decisions, and the role of social media in forecasting. Notable collaborations include work with Fuyu Yang and J. James Reade. His research has garnered media attention from outlets like the Washington Post and the Financial Times. Alasdair also serves on academic committees and has examined PhD theses at institutions like the University of Eastern Finland.

Marian Ioan MunteanuView profile

Professor

• Differential Geometry
• Riemannian Geometry
• Submanifold Theory
• +5 more

Marian Ioan Munteanu is a Professor of Mathematics at the University Alexandru Ioan Cuza of Iasi, where he has held positions since 1997. He earned his Ph.D. in Differential Geometry in 2003 and obtained habilitation in 2015. His research focuses on differential geometry, particularly magnetic curves, submanifolds in Riemannian and pseudo-Riemannian manifolds, and geometric flows. He has held prestigious fellowships, including the Fulbright Senior Researcher at Michigan State University (2011) and NATO-CNR and Flemish Community postdoctoral fellowships (2005). Research Interests: Differential geometry with emphasis on magnetic trajectories, CR-submanifolds, geometric analysis, and mean curvature flow. His work bridges pure mathematics with applications in physics, as seen in studies of magnetic systems and geometric dynamics. Articles: Recent work includes studies on magnetic trajectories in Berger spheres, solitons in mean curvature flows, and conformal trajectories in space forms. These contributions advance understanding of geometric structures and dynamical systems in curved spaces. Awards: Recipient of the Best Research Poster Award at the 6th European Congress of Mathematics (2012), Fulbright Senior Fellowship, and multiple postdoctoral fellowships. Role: Active in teaching advanced courses like Differential Geometry, Euclidean Geometry, and Computational Geometry, and has advised postdoctoral researchers such as Simona Druta-Romaniuc and Marilena Moruz. His academic leadership includes organizing conferences and serving on editorial roles.

• Theoretical Physics
• Active Matter
• Soft Matter
• +3 more

Professor Abhinav Sharma is affiliated with the University of Augsburg in the Faculty of Mathematics, Natural Sciences, and Technology , specifically the Institute of Physics under the Theoretische Physik II group. His academic journey includes a PhD thesis from Technische Universiteit Eindhoven in 2011. University : University of Augsburg School : Faculty of Mathematics, Natural Sciences, and Technology Department : Institute of Physics Academic Rank : Professor Abhinav Sharma's research focuses on theoretical physics , particularly in active matter , non-equilibrium systems , and soft matter . His work explores the dynamics of active Brownian particles , polymer transport in active baths , and nonlinear mechanics of fibrous networks . His recent publications (2023-2025) highlight advancements in odd-diffusive systems , chiral particles , and activity-gradient driven transport . These studies span disciplines like physics , chemical engineering , and biophysics , with a strong emphasis on statistical mechanics and nonlinear dynamics . As an advisor, he mentors PhD students including Bhavesh Valecha , Pietro Luigi Muzzeddu , and Iman Abdoli . He collaborates extensively with researchers like Joseph Brader , Fred MacKintosh , and Ralf Metzler . Sharma is part of the Theoretische Physik II lab, contributing to understanding active transport , polymer mechanics , and criticality in complex systems .

Ehsan JalilianView profile

Researcher

• Organic coatings
• Electrochemical impedance spectroscopy
• Corrosion science
• +5 more

Ehsan Jalilian is a researcher specializing in organic coatings and electrochemical characterization at Vrije Universiteit Brussel's Department of Chemistry and Biochemistry within the Faculty of Science and Bio-engineering Sciences. His research focuses on understanding the fundamental mechanisms of water and ion transport through polymer coatings using advanced electrochemical techniques. His research interests span organic coatings , electrochemical impedance spectroscopy , corrosion science , and polymer transport phenomena . Dr. Jalilian has developed expertise in odd random phase electrochemical impedance spectroscopy (ORP-EIS) for time-resolved monitoring of coating behavior and has integrated this with computational modeling approaches. Analysis of his recent publications reveals a strong focus on differentiating between water and ion transport mechanisms in organic coatings, with applications in corrosion protection. His work combines experimental electrochemical techniques with finite element modeling to create comprehensive understanding of coating barrier properties. Dr. Jalilian was awarded the European Technical Coatings Congress ETCC Young Scientist prize in May 2022, recognizing his contributions to coatings science early in his career. His research has generated significant impact with an h-index of 39. As a recently completed PhD (2024), Dr. Jalilian has established himself as an emerging expert in coating characterization, with particular expertise in UV-cured systems and the development of advanced electrochemical methodologies for assessing coating performance. His collaborative work spans multiple institutions across Europe, indicating strong networking within the corrosion science community. His laboratory work focuses on the Corrosion and Electrochemistry Research Group at VUB, where he applies sophisticated electrochemical and spectroscopic techniques to address fundamental questions about organic coating performance and degradation mechanisms.

Stefano BoView profile

Lecturer

• Biological Physics
• Soft Matter Physics
• Stochastic Processes
• +3 more

Dr. Stefano Bo is a Lecturer in Physics at King's College London, affiliated with the Biological Physics and Soft Matter Group within the Department of Physics. He holds a Ph.D. from the University of Turin (2015), followed by postdoctoral positions at the Nordic Institute for Theoretical Physics (NORDITA) and the Max Planck Institute for the Physics of Complex Systems. His research focuses on stochastic dynamics in biological systems, leveraging tools from statistical physics, machine learning, and non-equilibrium thermodynamics. Key research areas include the dynamics of biomolecular condensates, stochastic modeling of cellular processes, and machine learning applications for analyzing noisy trajectories. He has pioneered work on phase separation in membrane-less organelles and the development of recurrent neural networks for decoding anomalous diffusion. Education : Ph.D. in Complex Systems for Life Sciences, University of Turin (2015) Postdoctoral Fellowships: NORDITA (2015–2019), MPI-PKS (2019–2022) His work integrates experimental and theoretical approaches, with recent contributions to understanding single-molecule behavior in condensates and the thermodynamic costs of cellular processes. Collaborations include projects on stochastic thermodynamics and active matter. Grants & Awards : No specific awards listed, but his research has been supported by institutions like MPI-PKS and King's College London. Labs/Teams : Active in the Biological Physics and Soft Matter Group, collaborating with researchers like Rosalba Garcia-Millan and Giorgio Volpe.

• Ecology
• Epidemiology
• Animal Movement
• +4 more

Dr. Justin Calabrese is the Head of Earth Systems Research at the Center for Advanced Systems Understanding (CASUS) , part of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) . His work integrates ecology, epidemiology, and computational modeling to address complex systems-level challenges. Research Interests: Dr. Calabrese specializes in Ecological modeling of animal movement and habitat use Epidemiological dynamics of disease outbreaks Computational tools for spatial and temporal data analysis Conservation biology applications Key Contributions: He develops advanced methodologies like the ctmm R package for movement analysis and applies mathematical frameworks to problems ranging from wildlife-vehicle collisions to pandemic response strategies.