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John Bradley MarstonView profile

Professor

• Climate Modeling
• Condensed Matter Theory
• Fluid Dynamics
• +6 more

John Bradley Marston is a Professor in the Department of Physics at Brown University. He joined Brown in 1991 and is affiliated with the Brown Theoretical Physics Center. His research spans quantum matter, planetary atmospheres, and fluid dynamics, with a focus on non-equilibrium statistical physics. Education: PhD (1989), MA (1986), BS (1984) Institutions: Caltech (undergraduate), Princeton (PhD), Cornell (postdoc), and visiting roles at UC Santa Barbara, MIT, Caltech, and ENS-Lyon Marston’s research addresses climate modeling , condensed matter theory , and strongly correlated systems . He explores turbulent flows, quantum spin liquids, and environmental physics, linking these to outstanding scientific questions about superconductivity, water structure, and climate change. Recent publications focus on cumulant expansions for atmospheric dynamics, fluid turbulence , and quantum transport in nanostructures. These works highlight interdisciplinary applications of statistical mechanics. Scientific Awards: Alfred P. Sloan Fellow NSF Young Investigator (1993-1998) Fellow of the American Physical Society NSF American Competitiveness and Innovation Fellow (2008-2011) Marston mentors PhD and undergraduate students, with former advisees holding faculty positions. He teaches courses spanning computational physics, quantum mechanics, and advanced statistical mechanics. Grants include NSF funding for strong correlations in environmental condensed matter and collaborative projects on climate dynamics.

LaToya AndersonView profile

Lecturer

• Urban Ecology
• Quantum Many-Body Problem
• Computational Physics
• +2 more

LaToya Anderson serves as an Urban Ecology instructor for the CUNY STEM Academy's College Now program and works as an associate research analyst at the Flatiron Institute's Center for Computational Quantum Physics. She is currently pursuing dual undergraduate degrees in Physics and Computational Mathematics at Brooklyn College, building on prior research experience as a physical chemistry and environmental science research assistant. Her research integrates computational techniques to solve quantum many-body problems through software engineering design and efficient approximation methods, while her environmental education work focuses on urban ecology systems and sustainability practices. This dual expertise bridges theoretical physics and practical ecological applications. Anderson has received multiple unspecified awards for her professional contributions and serves as an environmental educator for the NYC Department of Environmental Protection. An active masters-level Olympic weightlifter, she maintains competitive athletics alongside her academic and research commitments.

Morten Hjorth-JensenView profile

Professor

• Computational Physics
• Many-Body Theory
• Nuclear Physics
• +3 more

Professor Morten Hjorth-Jensen is a theoretical physicist affiliated with the Department of Physics at the University of Oslo and the Department of Physics and Astronomy at Michigan State University. He has held a shared professorship between these institutions since 2012, with prior roles as an associate professor (1999) and full professor (2001) at the University of Oslo. Education: PhD in Physics, University of Oslo (1993) His research spans computational physics, nuclear many-body theory, quantum computing, and machine learning, focusing on solving Schrödinger's and Dirac's equations for complex systems. He explores algorithmic methods, quantum mechanical properties, and interdisciplinary applications of machine learning in nuclear and particle physics. Recent publications highlight his expertise in quantum computing algorithms for many-body systems, machine learning in nuclear physics, and computational modeling of neutron stars. Themes include neural networks, Bayesian methods, and quantum simulations. Supervision: Geoscience: Optimal Climate Physics: Frictional properties of surface structures generated by machine learning Machine-learning-based molecular modeling of nanoscale geological processes Quantum computing algorithms for quantum mechanical many-body systems

• Partial Differential Equations
• Quantum Mechanics
• Numerical Analysis
• +4 more

Romain Duboscq is a Lecturer at the National Institute of Applied Sciences (INSA) in Toulouse and a member of the Institute of Mathematics of Toulouse (IMT). He is affiliated with Paul Sabatier University (University Toulouse III) as evidenced by his contact information at the Toulouse Institute of Mathematics. His research spans several interconnected areas in mathematical physics: Analysis and numerical simulation of partial differential equations related to quantum mechanics Numerical methods for Gross-Pitaevskii type equations in Bose-Einstein condensates Stochastic Schrödinger equations and their numerical approximation Cauchy problem for stochastic Gross-Pitaevskii equations Stochastic regularization effects and the Itô-Tanaka trick Minimization of quantum entropies under local constraints Duboscq has developed the GPELab toolbox, a free-access Matlab resource for solving Gross-Pitaevskii equations, in collaboration with Xavier Antoine. His research often addresses challenging cases with strong nonlinearity and fast rotation in quantum systems. His work demonstrates a consistent integration of theoretical analysis with practical computational methods, making contributions to both fundamental understanding and applied methodology in quantum mechanical systems. His publication record shows sustained productivity across prestigious journals including Journal of Mathematical Physics, Annales Henri Lebesgue, and ESAIM: Mathematical Modelling and Numerical Analysis. The recent publications (2022-2025) demonstrate continued engagement with multiple research threads, particularly in quantum PDEs, stochastic methods, and computational approaches to quantum systems. Duboscq has received recognition through numerous publications in high-impact journals: Multiple publications in Annales Henri Lebesgue (2022) Work published in Journal of Mathematical Physics (2022) Contributions to ESAIM: Mathematical Modelling and Numerical Analysis (2025) Publications in Annals of Probability (2025) Research in Journal of Functional Analysis (2021) Duboscq maintains active research collaborations with several prominent researchers including Xavier Antoine, Christophe Besse, Renaud Marty, Anthony Réveillac, and Olivier Pinaud. His GPELab toolbox represents a significant contribution to computational tools for quantum physics research. While specific student supervision details aren't provided in the available information, his numerous collaborations suggest an active mentoring role in the research community. Duboscq leads the GPELab research group, which focuses on developing numerical methods and computational tools for quantum mechanical systems, particularly Bose-Einstein condensates modeled by Gross-Pitaevskii equations. The group's work bridges theoretical mathematics with practical computational applications, providing resources that enable more accurate simulations of complex quantum phenomena.

Hong LingView profile

Professor

• Ultracold Atomic Physics
• Condensed Matter Physics
• Quantum Light-Matter Interactions
• +5 more

Hong Ling serves as Professor and Assessment Coordinator in the Department of Physics & Astronomy at Rowan University's College of Science & Mathematics. Her research spans ultracold atomic physics, condensed matter systems, and quantum light-matter interactions with focus on many-body quantum phenomena at low temperatures. Her research expertise centers on: Topological phases in non-Hermitian quantum systems Bose/Fermi polarons in ultracold gases Quantum phase transitions and symmetry breaking Many-body phenomena in optical lattices She investigates how quantum statistics, interactions, and symmetries interplay to create exotic states like unconventional superconductors and topological matter. Dr. Ling's publication record shows consistent high-impact output in Physical Review A, with recent work on topological amplifiers and polaron physics. Her research demonstrates strong theoretical rigor combined with conceptual clarity, often using vivid analogies to explain complex phenomena. Notable recognitions include: Rowan University Research Achievement Award (2011) KITP Scholar appointment (2013-2015) Long Term Visitor at Harvard-Smithsonian's ITAMP (2014-2015) She maintains active collaborations evidenced by consistent co-authorship with Ben Kain across multiple publications. Her research program benefits from connections to major theoretical physics institutes including Kavli Institute and Harvard-Smithsonian Center. Dr. Ling leads a theoretical research group focused on quantum many-body systems, with her work accessible through her research website and Digital Commons repository. She emphasizes conceptual understanding through analogies while maintaining mathematical rigor in quantum phenomena exploration.