Firas Rassoul-Agha is a Professor of Mathematics in the Department of Mathematics at the University of Utah, College of Science. His academic work centers on the rigorous mathematical analysis of probabilistic models arising in statistical mechanics and complex systems. His research interests include: Probability theory and its applications Random walks in random environments Random polymer measures (random paths in random potentials) Large deviations and Gibbs measures Random growth models and disordered systems Interplay between probability and mathematical physics His research seeks to uncover the mathematical laws governing systems with complex interactions, such as particles in disordered media, traffic flow, crystal growth, and biological interfaces. He has developed theoretical frameworks to understand the long-term behavior and fluctuations in such stochastic systems, often drawing analogies to foundational results like the Law of Large Numbers. There are no articles listed in the provided text, so no trend analysis can be performed. He has no listed scientific awards in the provided material. Firas Rassoul-Agha has been actively involved in academic service, notably as an organizer of the Frontier Probability Days 2018 conference at Oregon State University, supported by the National Science Foundation. He has advised numerous graduate and undergraduate courses in probability, statistics, and stochastic processes, indicating a strong commitment to teaching and mentorship. While specific grants are not detailed, his research has likely been supported through conference funding and institutional resources. There is no explicit mention of labs or research teams in the provided text, though his collaborative work on conferences suggests engagement with broader research networks.
Thomas Schrøder serves as Professor in the Department of Science and Environment at Roskilde University, Denmark, where he leads research in the Mathematics and Physics section (IMFUFA). His work focuses on fundamental physical phenomena in disordered systems, with extensive collaboration with Jeppe C. Dyre and international researchers. His core research interests include: Condensed matter physics of glass-forming liquids and disordered solids Dynamics of viscous fluids during glass transition AC electrical conductivity mechanisms in solid substances Computer simulation of molecular dynamics Scaling properties and isomorph theory in liquid systems Theoretical modeling of percolation processes Recent publications reveal a strong trend toward unifying theoretical frameworks for liquid dynamics, particularly through single-configuration predictions of scaling properties and percolation scenarios for relaxation processes. His work bridges statistical mechanics with computational physics to explain complex behaviors in glass formers. Professor Schrøder actively contributes to the scientific community through conference presentations on isomorphs and liquid physics, participation in major research projects like 'Matter' (2017-2023), and public engagement including media contributions on fluid physics.
Professor Fraydoun Rezakhanlou is a faculty member at the Department of Mathematics , University of California, Berkeley , where he has been since 1991. His academic roles include serving as an Equity Advisor in the university's Senate Faculty and teaching advanced courses such as Math 270: Topics in Symplectic Geometry , Math 219: Dynamical Systems , and Math 279: Stochastic PDEs . He has also contributed to lecture notes on Symplectic Geometry, Dynamical Systems, and Stochastic PDEs. Research Interests: Rezakhanlou's work spans probability theory , partial differential equations , and their intersections with mathematical physics . His research includes coagulation-fragmentation models , kintetic theory , stochastic processes , and homogenization . He has explored applications to Navier-Stokes equations , Hamilton-Jacobi equations , and symplectic geometry . Article Trends: His publications focus on stochastic PDEs , Hamilton-Jacobi equations , and coagulation models . Recent articles analyze random tessellations , metastability in zero-range processes , and kintetic descriptions of scalar conservation laws. Older works address equilibrium fluctuations , Smoluchowski equations , and random walks in random environments . Advising: He has advised multiple PhD students, including Haotian Gu (2023), Kyeongsik Nam (2020), and Chanwoo Oh (2019), among others since the 1990s.
Dr. Felix Schmidt is a Researcher leading his own Arbeitsgruppe within Prof. Artur Widera's team in the Department of Physics at RPTU Kaiserslautern-Landau. His work focuses on experimental quantum physics with single atoms in ultracold quantum environments, contributing significantly to quantum sensing and non-equilibrium dynamics research. Dr. Schmidt's research centers on quantum physics with emphasis on single-atom manipulation in ultracold gases, quantum sensing using individual neutral atoms as probes, and non-equilibrium thermodynamics of dilute atomic systems. His experimental work explores spin dynamics in Bose-Einstein condensates, precision measurement techniques, and quantum simulation of complex phenomena like the Fröhlich polaron. This research bridges atomic physics, quantum information science, and condensed matter physics through innovative single-atom control methodologies. Analysis of his 14 publications from 2015-2020 reveals consistent contributions to high-impact journals including Physical Review Letters , Nature Physics , and Physical Review X . His work shows increasing focus on quantum sensing applications, with several papers featured in Physics viewpoint stories and covered by science media outlets like phys.org and Science Daily . Key trends include the development of single-atom thermometers, quantum probes for ultracold gases, and optimization of quantum gas production through evolutionary algorithms. Dr. Schmidt's research group operates within RPTU's Department of Physics, which recently secured significant funding (nearly 900,000 euros from Carl-Zeiss-Stiftung) for quantum sensor development targeting neurological disease research. The department maintains international collaborations, including a recent partnership with Politehnica University of Bucharest focused on experimental physics excellence. His work contributes to RPTU's growing reputation in quantum technologies and precision measurement.
Tal Orenshtein is a tenure-track Assistant Professor at the Department of Mathematics and Applications, University of Milano-Bicocca. Their research focuses on stochastic processes, probability theory, and mathematical models in statistical mechanics, including rough paths in random media, interface dynamics in 1+1 dimensions, and self-interacting random walks. They actively participate in international conferences and seminars such as the 4th Italian Meeting on Probability & Mathematical Statistics and the CIME Summer School. Education: Master's thesis under Boaz Tsaban (Adv. Math., 2013) addressing a variation of the Gerlits-Nagy open problem in topology. Key research themes include: Wetting dynamics and space-time correlations in KPZ/EW universality classes. Random walks in static/dynamic environments and their interactions with probabilistic models. Collaborations include prominent researchers like Peter K. Friz, Gady Kozma, and Boaz Tsaban. Contact: Office 3044, U5 building, Via R. Cozzi 55, 20125 Milan, Italy | Phone: +39 02 6448 5714
Clélia de Mulatier is an Assistant Professor at the University of Amsterdam , affiliated with both the Institute for Theoretical Physics and the Informatics Institute . She leads research at the intersection of statistical physics, information theory, and computer science , focusing on theoretical and numerical methods for complex systems . Her work spans collaborations with experimentalists in neuroscience and biology , and she actively participates in educational programs across multiple Dutch universities. Research Labs : Computational Soft Matter Lab, Computational Science Lab Affiliations : Dutch Institute for Emergent Phenomena (DIEP), Netherlands Platform Complex Systems (NPCS) Her research develops minimally complex spin models for high-order data analysis , applying exact Bayesian model selection to uncover hidden variable communities in binary datasets. This work has produced open-source tools like MinCompSpin and MinCompSpin_Greedy for different system sizes. Publications demonstrate expertise in tensor networks for dimensional reduction , epidemic modeling , and branching random walks in confined environments . Teaching includes Python programming , complex systems theory , and statistical inference for physics students across multiple institutions. She serves as program committee member for International Conference on Computational Science and organizes academic discussions through initiatives like Behind the CV: story from a Physicist .
Renaud Raquépas is a Phillip Griffiths Assistant Research Professor in the Department of Mathematics at Duke University, where he has been working since 2025 under the mentorship of Professor Jonathan C. Mattingly. Prior to his position at Duke, he was a Courant Instructor in the Mathematics Department of the Courant Institute at New York University (2022-2025), hosted by Professor Lai-Sang Young, and a postdoctoral researcher at CY Cergy Paris Université (2021-2022), working with Professor Armen Shirikyan. His educational background includes a PhD in Mathematics from McGill University and Université Grenoble Alpes (2017-2020), where he was jointly supervised by Professors Vojkan Jakšić and Alain Joye. His doctoral thesis focused on "Tools and results in the study of entropy production." He also earned an MSc in Mathematics and Statistics from McGill University (2016-2017) under the supervision of Professor Vojkan Jakšić, with a thesis on "Heat full statistics and regularity of perturbations in quantum statistical mechanics." His undergraduate studies were completed at McGill University, where he also earned his Master's degree over a period of approximately five years. Raquépas's research primarily focuses on mathematical physics, with particular emphasis on time-dependent aspects of statistical mechanics and entropy production in both quantum and classical systems. His work bridges several mathematical disciplines including probability theory (particularly large deviations and stochastic differential equations), dynamical systems and ergodic theory (covering recurrence, mixing, theory of C*-algebras, and random dynamical systems), and operator theory (focusing on spectra, resolvents, perturbation theory, and one-parameter semigroups). His research addresses fundamental questions about nonequilibrium statistical mechanics, quantum information, and the mathematical foundations of thermodynamics. The most recent publications by Raquépas demonstrate a consistent focus on entropy production, large deviation principles, and the mathematical structure of statistical mechanical systems. His work spans both classical and quantum domains, with particular attention to the connections between information theory, probability, and physics. A significant portion of his research examines return times, waiting times, and their relationship to entropy estimators, while other papers explore quantum measurement processes, fermionic systems, and diffusions with various types of noise. His publications appear in prestigious journals including Communications in Mathematical Physics, Annales Henri Poincaré, and Journal of Mathematical Physics. Raquépas has presented his research at numerous international conferences and seminars, including the IEEE International Symposium on Information Theory, the International Congress of Mathematical Physics, and various departmental seminars at institutions worldwide. His work has been featured at specialized workshops on entropy, dynamical systems, and mathematical physics. As an educator, Raquépas has taught a variety of undergraduate mathematics courses at multiple institutions. At Duke University, he is scheduled to teach Probability in the Fall 2025 semester. Previously at NYU, he taught courses including Ordinary Differential Equations, Introduction to Mathematical Modeling, Linear Algebra, and Applied Complex Variables. He has also taught mathematics courses in French at CY Cergy Paris Université and Université Grenoble Alpes, demonstrating his bilingual capabilities (French is his first language, with fluency in English). Raquépas was born in the 1990s in the Province of Québec and has been involved in mathematical outreach activities, including service on the committee of the Seminars in Undergraduate Mathematics in Montréal and work on the website of the French-language mathematics magazine Accromath.
Conrado da Costa is an Assistant Professor (Research) in Probability at Durham University's Department of Mathematical Sciences. His academic profile centers on advanced research in probability theory, with particular expertise in Non-Homogeneous Random Walks and Scaling Limits of Interacting Particle Systems. His research portfolio spans several interconnected domains: Diffusion on Networks and Infinite graphs Fluid limits and hydrodynamic limits Random walks in random environments Law of Large Numbers and long-term behaviors Local convergence of random graphs Professor da Costa employs a sophisticated mathematical toolkit including scaling limits, generators, semigroups, martingale problems, concentration inequalities, and coupling methods. His research methodology bridges theoretical probability with applications in statistical mechanics and mathematical physics, revealing how microscopic stochastic processes give rise to macroscopic deterministic behavior. His publication record shows consistent development from foundational work on reaction-diffusion models (2019) to more recent investigations of random walks in cooling random environments and stochastic billiards (2022-2023). His work demonstrates increasing sophistication in handling complex correlation structures and boundary effects in stochastic systems. Professor da Costa has secured research funding for projects including 'Anomalous diffusion via self-interaction and reflection' and actively supervises undergraduate and graduate students through annual project offerings since 2019. His research collaborations extend to institutions including Leiden University, IMPA, and the University of Manchester, reflecting his growing international recognition in the probability community.
Lynda Hughes serves as Co-programme Lead and Senior Lecturer in Occupational Therapy at the University of the West of England's College of Health, Science and Society, co-leading the BSc (Hons) Occupational Therapy programme and previously directing the MSc Rehabilitation programme in partnership with Hainan Medical University, China. Her teaching spans Human Occupation, Dementia Care, Leadership, and Research Methods with a student-centered approach. Educational qualifications include a Postgraduate Certificate in Academic Practice (2018), MSc in Management and Leadership (2016, Merit), MSc in Occupational Therapy (2005), and Diploma in Occupational Therapy (1992), supplemented by specialized trainings in dementia facilitation, motivational interviewing, and solution-focused counseling. Research centers on occupation-centred practice, particularly through her PhD-developed Handy OT Model for therapists supporting individuals with complex health challenges. Her clinical innovations include pioneering the Forget Me Not Centre for young onset dementia, emphasizing co-production, nature-based therapy, and amplifying patient voices to transform care quality. Publications from 2005-2017 reveal consistent focus on dementia care, cognitive rehabilitation, and occupation-based frameworks, highlighting trends toward participatory action research, non-pharmacological interventions, and integrating lived experience into therapeutic practice across diverse health contexts. NHS National Patient Champion of the Year (2015) Regional NHS Leadership Recognition Award: Patient Champion of the Year (2014) Recovery Award for dementia recovery model adoption (2010) Mentoring over 800 professionals in dementia education, she develops accessible resources and collaborates with NHS Trusts on quality improvement. Her media work (SCIE films, BBC Radio 4) and trustee role with White Horse Care Trust demonstrate commitment to inclusive practice and community engagement. Leadership extends to the Forget Me Not Walking Group and Wiltshire Voices initiatives, creating platforms for people with dementia to share experiences directly, driving systemic change through storytelling and co-produced knowledge.
Lesley Pritchard, PT, PhD, is a Professor in the Department of Physical Therapy within the Faculty of Rehabilitation Medicine at the University of Alberta. Her work bridges clinical practice and academic research in pediatric rehabilitation, with active teaching responsibilities including PTHER 563 (Gross Motor Development and Pediatric Physical Therapy) and REHAB 601 (Research Design in Rehabilitation Research). Her educational foundation includes: PhD in Rehabilitation Medicine (University of Alberta, 2008) MScPT (University of Alberta, 2002) BScPT (University of Alberta, 1996) Dr. Pritchard's research centers on improving rehabilitation outcomes for children with motor disabilities, particularly through understanding family perspectives on service delivery and developing evidence-based interventions for cerebral palsy. She investigates community participation barriers and designs child-focused rehabilitation approaches that prioritize functional outcomes in natural environments. Her recent publication trends (2022-2025) reveal a strategic focus on implementation science and translational research. Key themes include validation of assessment tools like the Gross Motor Family Report, qualitative exploration of family experiences with orthotics and telehealth, and rigorous evaluation of innovative interventions such as robotic gait training. There is strong emphasis on mixed-methods designs and multi-center trials that bridge clinical practice and research evidence. No scientific awards are documented in the provided materials. As a graduate supervisor, Dr. Pritchard mentors students in rehabilitation research methodology while securing substantial grant funding for projects like the ENGAGE study on goal setting and TIPS for telehealth implementation. Her work demonstrates consistent collaboration with interdisciplinary teams across clinical, academic, and policy domains. She leads the ENGAGE research group focused on child-centered rehabilitation and contributes to the University of Alberta's Pediatric Rehabilitation Research cluster, collaborating with clinicians, families, and international researchers to advance evidence-based service delivery models.
