Marco Freibert is a Postdoctoral Researcher at the Department of Mathematics , Christian-Albrechts-University of Kiel. His research focuses on differential geometry, geometric structures on Lie algebras, and flows like the Hitchin and spinor flows. Research Interests: Specializing in Special Holonomy , Geometric Flows , and Lie Group Applications , Freibert investigates structures such as G2-eigenforms , Half-flat and SU(4)-holonomy metrics, and complex symplectic structures . His work often bridges theoretical geometry with applications in physics. Publication Trends: Recent works analyze SKT metrics , Einstein pseudo-Riemannian metrics , and complex symplectic Lie algebras . Key themes include torsion geometry, solvable Lie groups, and geometric constructions for heterotic string theory. Education: PhD in Mathematics (Advisor: Prof. Dr. Vicente Cortés), University of Hamburg
Dr. Andrzej Ptok is an Associate Professor at the Department of Computational Materials Research, Institute of Nuclear Physics, Polish Academy of Sciences (Kraków, Poland), specializing in condensed matter theory and computational materials science. He obtained his Ph.D. (2012) and M.Sc. (2007) in Physics from the University of Silesia, followed by a habilitation (2020) from the Polish Academy of Sciences. His research integrates ab initio methods to explore quantum phenomena in solids. Research interests span unconventional superconductivity , topological materials , and chiral phonons , with emphasis on iron-based superconductors, Majorana quasiparticles, and altermagnetism. Recent work (2023–2025) focuses on: Dynamical properties of charge density waves in kagome metals Chiral edge states in superconducting systems Electronic structure of rare-earth topological semimetals Altermagnetic ruthenium dioxide Honors include the Henry Niewodniczanski Scientific Award (2018), scholarships for young scientists (2019), and recognition as an IOP Trusted Reviewer (2020). He leads/co-leads multiple grants from Poland's National Science Center, including FUGA 5 (PI) and OPUS projects. He collaborates internationally (e.g., Paris-Saclay, Zurich) and leads computational studies of quantum materials. No advising or lab details are explicitly provided.
Samuel Grushevsky is a Professor and Deputy Director at the Simons Center for Geometry and Physics (SCGP) at Stony Brook University, where he is affiliated with the Department of Mathematics in the College of Arts and Sciences. His office is located in SCGP 416 and he can be reached at 631-632-2820. Professor Grushevsky's research focuses on algebraic geometry, with particular emphasis on moduli spaces, abelian varieties, theta functions, and their connections to mathematical physics. His work bridges pure mathematics with theoretical physics, especially in areas related to string theory and integrable systems. He has made significant contributions to the Schottky problem, Teichmüller dynamics, and the geometry of moduli spaces of curves and abelian varieties. His research often involves intricate connections between algebraic geometry and complex analysis, with applications to theoretical physics. His recent publications demonstrate a sustained focus on the geometry of moduli spaces, particularly examining compactifications, stratifications, and the interplay between algebraic geometry and differential geometry. His work frequently addresses fundamental questions about the structure of moduli spaces of curves, abelian varieties, and differentials, with applications to mathematical physics. He has developed deep insights into the Schottky problem and has made significant advances in understanding the geometry of strata of differentials. Professor Grushevsky's research has been published in top-tier mathematics journals including Duke Mathematical Journal, Journal für die Reine und Angewandte Mathematik, Inventiones Mathematicae, and IMRN. His paper 'Compactification of strata of abelian differentials' (2018) has been cited 68 times, and 'Strata of k-differentials' (2019) has been cited 56 times, demonstrating significant impact in the field. In addition to his research, Professor Grushevsky is an active educator, teaching advanced graduate courses in areas such as Teichmüller dynamics, moduli of curves, and complex analysis. His teaching portfolio demonstrates deep expertise across algebraic geometry and complex analysis. He has collaborated extensively with leading researchers worldwide, including Riccardo Salvati Manni, Klaus Hulek, Martin Möller, and Matt Bainbridge, among others.
Yin Li is a Research Assistant at the Chair of Theoretical Information Technology at Technische Universität München (TUM). The research group focuses on quantum communication, information-theoretic security, interference modeling, and signal processing, with affiliations to the ACES Lab and Research Hub 6G-life. Their research spans condensed matter physics and quantum materials, particularly investigating electron correlations in kagome lattices, spin-orbit-coupled systems, Kitaev materials, and frustrated magnets. Key subfields include topological quantum computing, magnetic exchange interactions, and ultrafast magnetometry techniques. Recent publications emphasize ab initio modeling of quantum spin systems (2015–2025), with trends in Kagome and honeycomb lattice materials, half-metallic ferromagnets, and phonon-mediated magnetism. Collaborative projects align with 5G/6G wireless technologies and quantum communication security. Research is supported by grants from the Cluster of Excellence MCQST, BMBF initiatives (6G-life, MAMOKO, SEKOM), and DFG funding programs (Leibniz Prize, CoSIP).
Prof. Patrik Ferrari is a Professor of Probability Theory and Stochastic Analysis at the Institute for Applied Mathematics, University of Bonn, where he has been employed since October 2008 and became a professor in April 2009. His research primarily focuses on stochastic processes, random matrix theory, and the Kardar-Parisi-Zhang (KPZ) universality class. His educational background includes: Physics studies at EPFL (Swiss Federal Institute of Technology in Lausanne) from 1996 to 2001 Diploma thesis at Rutgers University under Prof. Joel L. Lebowitz PhD at Technische Universität München (TUM) completed in 2004 under Prof. Herbert Spohn Ferrari's research interests span Probability Theory, Stochastic Analysis, Random Matrix Theory, KPZ Universality Class, and Interacting Particle Systems. His work often explores the connections between stochastic growth models, random matrices, and determinantal processes. He has made significant contributions to understanding the Airy processes, which describe the limit behavior of various stochastic models in the KPZ universality class. His publications from the last five years reveal a consistent focus on the theoretical aspects of exclusion processes, last passage percolation, and KPZ-related models. The research demonstrates deep mathematical analysis of correlation structures, fluctuation properties, and universality phenomena in these systems. His notable awards include: Alexanderson Award from the American Institute of Mathematics (2018) Heinz Maier-Leibnitz prize from the German National Foundation (2009) EPFL Award for second best general exams average (2001) Ferrari has served on editorial boards for several prestigious journals including The Annals of Applied Probability (2013-2018), Mathematical Physics, Analysis and Geometry (2013-2022), and Electronic Journal of Probability (2018-2023). His research has established important connections between probability theory, statistical mechanics, and random matrix theory, particularly in the context of the KPZ universality class.
Paul Wollan is a Professor in the Department of Computer Science at the University of Rome "La Sapienza". He has been a faculty member at the university since completing his postdoctoral positions at the University of Waterloo (2006) and University of Hamburg (2007-2009). He earned his PhD in Algorithms, Combinatorics, and Optimization in 2005 from Georgia Tech under the supervision of Robin Thomas. Wollan's research focuses on graph theory, combinatorial optimization, and structural graph theory. His work centers on developing structural techniques for labeled graphs, algorithmic applications of graph structure theory, and providing new proofs for results in graph minors. He has made significant contributions to the theory of graph minors, immersions, and connectivity in graphs. His research has applications in theoretical computer science, particularly in algorithm design and complexity. His recent publications (2017-2024) demonstrate a consistent focus on structural graph theory, with particular emphasis on graph minors, immersions, connectivity, and applications to algorithmic problems. The work shows a progression toward simplifying complex structural results while extending the theoretical foundations of graph theory. Key themes include grid theorems, Erdős-Posá properties, chi-boundedness, and connectivity in both directed and undirected graphs. ERC Starting Grant (2011-2017) for Project DASTCO (Developing and Applying Structural Techniques for Combinatorial Objects) Alexander von Humboldt Foundation Research Fellowship (2007-2009) Wollan has advised several PhD students including Irene Muzi, Katherine Edwards, and Gregory Gauthier. He led Project DASTCO, which developed new structural tools and techniques for graphs and other combinatorial objects through the study of labeled graphs. The project sought to increase understanding of classic results in graph theory while developing a broader structural theory of labeled graphs. He is also involved with the Bertinoro Workshop on Algorithms and Graphs, which will be held again in October 2025 after a long hiatus.
Liang Fu is the Biedenharn Associate Professor of Physics at the Massachusetts Institute of Technology (MIT), specializing in theoretical condensed matter physics with a focus on topological materials, quantum phenomena, and moiré systems. His research integrates quantum many-body theory, topological phase transitions, and novel electronic states in low-dimensional systems. His work explores topics such as quantum Hall effects, superconductivity, and nonreciprocal transport in materials like graphene, transition metal dichalcogenides, and van der Waals heterostructures. Key interests include fractional quantum Hall states, topological insulators, and emergent phases in moiré superlattices. Liang Fu’s recent publications highlight advancements in understanding chiral superconductors, topological phase transitions, and quantum geometry probing through optical techniques. His research also addresses applications in energy harvesting, nonlinear optics, and quantum computing with Majorana modes.
Professor Arash Mostofi is a leading academic in the Department of Materials and Physics at Imperial College London, where he holds the title of Professor of Theory and Simulation of Materials. He is also the Associate Head of Department (Education) and plays a key role in managing the Materials and Molecular Modelling Hub, overseeing the UK's Tier-2 HPC facilities for materials science. His research focuses on developing computational tools like ONETEP and Wannier90, used globally for electronic structure simulations. His work spans 2D materials, moiré heterostructures, and defects in materials, with contributions to understanding graphene nanoribbons and twisted bilayer systems. Education: BSc (First Class) in Natural Sciences, University of Cambridge (2000) PhD in Condensed Matter Theory, University of Cambridge (2004) Research Interests: Electronic and optical properties of 2D materials and twisted heterostructures Defects and interfaces in materials Multifunctional perovskite oxides Development of linear-scaling DFT and Wannier function methods Awards & Roles: Chair of the Board of Trustees of Psi-k (computational materials science network) Management Board member of the Materials and Molecular Modelling Hub Advising & Labs: Guided over 40 PhD and master’s students in theoretical and computational materials science Runs the Mostofi Group, focusing on advanced simulations of electronic and structural properties
Matteo Calandra Buonaura is a Full Professor at the Department of Physics, University of Trento, Italy, since February 2020. He also holds a permanent position as Directeur de Recherche de première classe at CNRS (Centre National de la Recherche Scientifique), Sorbonne Université, Paris, France. His career spans postdoctoral research at Max Planck Institute (Stuttgart) and Université P. et M. Curie (Paris), followed by CNRS research roles since 2003. Laurea in Theoretical Physics (University of Parma, 1995) PhD in Theoretical Condensed Matter Physics (SISSA, Trieste, 1999) His research focuses on condensed matter theory with emphasis on quantum materials , superconductivity , and 2D crystals . He develops density functional theory and machine learning frameworks to study vibrational properties , charge density waves , and strongly anharmonic solids under extreme conditions. His group (mattheory.physics.unitn.it) integrates numerical methods and quantum spectroscopy to explore graphene , ferroelectrics , and hydrogen-rich materials . Recent publications investigate light-induced phase transitions , chiral phonons , and machine learning for ab initio accuracy in novel 2D systems. His work bridges fundamental quantum physics and computational materials science . Scientific Awards ERC Advanced Grant (2022) Google Gift Awards for quantum technologies (2021, 2022) Prime d'excellence scientifique CNRS (2012, 2018) He has supervised research teams at CNRS and University of Trento, secured 7 PRACE/EuroHPC supercomputing grants , and contributed to the Graphene Flagship consortium and IIT Graphene Labs . His teaching includes Mechanics , Transport in Nanostructures , and advanced theoretical courses on 2D materials.
Victor Pardo Castro is an Associate Professor at the Department of Applied Physics, Faculty of Physics, Universidade de Santiago de Compostela (USC). He holds a PhD in Physics from USC (2006), with a thesis on first principles studies of cobalt oxides. His research focuses on ab initio calculations of quantum materials, including transition metal oxides, interfaces, and their electronic, magnetic, and thermoelectric properties. He has held postdoctoral positions at institutions like UC Davis and was a Ramón y Cajal Fellow (2012–2016). Education : BSc in Physics (USC, 1997–2001), PhD in Physics (USC, 2006). Postdoctoral research at USC (2006–2007), UC Davis (2007–2011), and TU Wien (2004–2006). Research : Specializes in computational materials science, particularly in designing functional materials using ab initio methods. Key areas include topological phases in oxides, thermoelectric materials, and magnetism in layered systems. His work bridges theory with experimental validation, contributing to understanding quantum phenomena like charge ordering and phase transitions. Supervision : Advised numerous students, including PhD candidates like Alberto Piñeiro Rodriguez (2013) and Antía Sánchez Botana (2013), and MSc students such as José Luis Lado Villanueva (2013) and Pablo Villar Arribi (2015). Current group members include Adolfo Otero Fumega and Jan Phillips. Membership : Part of the Materials Institute (iMATUS) and the Strategic Grouping in Materials (AEMAT). Research group: LABSIS Systems Laboratory.
