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Jörg DirmaierView profile

Researcher

• Medical Psychology
• Patient-Centered Care
• Shared Decision-Making
• +7 more

Dr. Jörg Dirmaier is a researcher and head of the research group in the Center for Psychosocial Medicine at the University of Hamburg's Faculty of Medicine. His work focuses on patient-centered care, shared decision-making, mental health interventions, and healthcare delivery systems. He leads studies on telemedicine, chronic disease management, and rare diseases' psychosocial impact. Key areas include benzodiazepine use patterns, health literacy, and randomized controlled trials evaluating interventions like telephone health coaching. His contributions span clinical psychology, public health campaigns (e.g., psychenet.de), and collaborative care models for mental disorders. Recent research emphasizes rare disease family support during pandemics and multimorbidity management in older adults.

William HozaView profile

Assistant Professor

• Computational Complexity Theory
• Pseudorandom Generators
• Derandomization of Algorithms
• +3 more

William Hoza is an Assistant Professor in the Department of Computer Science at the University of Chicago, affiliated with the UChicago CS Theory Group. His research focuses on computational complexity theory, particularly pseudorandom generators, derandomization of space-bounded computation, and circuit complexity. He earned a Ph.D. in Computer Science from the University of Texas at Austin (2021) and a B.S. from the California Institute of Technology (2016). Hoza advises two PhD students, including Zelin Lv (co-advised with Aaron Potechin). He has taught courses such as Introduction to Complexity Theory, Pseudorandomness, and Circuit Complexity. His academic journey includes a postdoctoral fellowship at UC Berkeley's Simons Institute. Hoza's work bridges theoretical computer science and practical algorithm design, with contributions to derandomization techniques and pseudorandom generator constructions. Key contributions include research on hitting sets, branching programs, and the limitations of pseudorandom generators. His publications span venues like FOCS, STOC, and ITCS, addressing foundational questions in computational complexity.

Aaron PotechinView profile

Associate Professor

• Computational Complexity Theory
• Discrete Mathematics
• Algorithm Design
• +4 more

Aaron Potechin is an Associate Professor in the Department of Computer Science at the University of Chicago. His research focuses on computational complexity theory, discrete mathematics, and the sum-of-squares (SoS) hierarchy. He has contributed to areas such as constraint satisfaction problems (CSPs), space complexity via switching networks, and the analysis of random matrices. Potechin’s work bridges theoretical computer science with mathematical foundations, including algorithm design and logic. He holds an NSF grant for investigating the SoS hierarchy (CCF 2008920) and has been affiliated with the Theoretical Computer Science Group at UChicago. His academic journey includes a postdoctoral fellowship at KTH Royal Institute of Technology and notable awards like the Churchill Scholarship and NSF Graduate Research Fellowship. His research interests span: (1) the SoS hierarchy’s applications in combinatorial optimization, (2) approximability of CSPs, and (3) switching networks for space complexity. Recent work includes lower bounds for non-Gaussian component analysis and densest k-subgraph problems. Education Highlights: Recipient of the Barry M. Goldwater Scholarship (2008), Churchill Scholarship (2008), and NSF Graduate Research Fellowship. Grants: NSF Grant CCF 2008920 for SoS research. Awards: 2010 Machtey Award, 2009 George B. Covington Prize. Potechin teaches graduate courses on the SoS hierarchy, communication complexity, and statistical physics methods, alongside undergraduate courses in discrete mathematics and algorithms. His lab focuses on advancing theoretical computer science through rigorous mathematical frameworks.

Samuel WayView profile

Research Fellow

• Computational Social Science
• Data Science
• Online Behavior Analysis
• +4 more

Samuel Way is a Research Fellow at the University of Colorado, specializing in computational social science. His work leverages online data and mathematical modeling to explore human behavior and health, with a focus on music streaming dynamics, academic productivity, and algorithmic fairness. He holds an office at 4A JSCBB and has published extensively on topics ranging from music recommendation systems to the sociological impacts of parenthood in academia. His research bridges computer science, social sciences, and data analytics, addressing both theoretical and applied challenges in modern digital ecosystems. Research interests include analyzing large-scale music streaming patterns, evaluating fairness in machine learning tools, and quantifying systemic inequalities in academia. Notable contributions include studies on nostalgic listening behaviors, the random walk model of scientific productivity, and the development of frameworks for assessing fair ML toolkits. His work frequently utilizes network analysis, longitudinal studies, and algorithm design to uncover actionable insights for policymakers and industry leaders. While no formal awards are listed, his publications demonstrate significant contributions to interdisciplinary research. Advising and grants information is not provided in the source texts. Samuel collaborates across disciplines, reflecting the computational social science field's collaborative nature.

• Vascular Medicine
• Cardiovascular Health
• Clinical Trials
• +4 more

Professor Julie Brittenden is an Honorary Professor at the University of Glasgow's School of Cardiovascular & Metabolic Health. Her research focuses on vascular medicine, clinical trial design, and outcomes analysis in cardiovascular and metabolic disorders. She specializes in studies related to varicose veins, peripheral arterial disease, and frailty assessment in vascular patients. Professor Brittenden has led and contributed to multiple high-impact clinical trials, including the CLASS trial evaluating treatments for varicose veins and the FOCCUS study on perioperative fluid management. Her work integrates translational research with patient-centered care, addressing topics such as diabetes-related foot ulcer prevention, walking impairment in intermittent claudication, and biomarker-driven prognostic modeling. She has published extensively in journals like the New England Journal of Medicine and the British Journal of Surgery, emphasizing rigorous methodological approaches to clinical effectiveness and cost-effectiveness analyses. Recent studies include the FAVOUR cohort study evaluating frailty assessment tools in vascular patients and investigations into sex equity in limb-threatening ischaemia treatments. Her research bridges vascular pathophysiology with healthcare economics, aiming to optimize patient outcomes and healthcare resource allocation.

• Dynamical Systems
• Ergodic Theory
• Stochastic Processes
• +9 more

Marco Lenci is a Full Professor at the Department of Physics and Astronomy 'Augusto Righi' of the University of Bologna. His academic discipline is Mathematical Physics. Lenci's research focuses on dynamical systems, ergodic theory, and stochastic processes, with applications to physical systems, climate sciences, and biological systems. His work investigates infinite-measure dynamics, billiards (e.g., Lorentz gases), random walks in heterogeneous environments, and quantum large deviations. Key themes include anomalous diffusion, transport phenomena, and large deviations in quantum lattice systems. Recent studies explore limit theorems for human mobility models and applications of dynamics to epidemiology. His publications span topics like ergodic properties of quenched random systems, quantum computing, and post-quantum cryptography. No scientific awards are explicitly mentioned in the provided texts. Lenci's advising and grants activities are not detailed here, but his role as a professor suggests active mentorship. His interdisciplinary research bridges mathematics, physics, and applied sciences, contributing to both theoretical and applied domains.

Alessandro SistoView profile

Associate Professor

• Geometric Group Theory
• Hyperbolic Geometry
• Low-Dimensional Topology
• +3 more

Alessandro Sisto is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Mathematics. His research focuses on geometric group theory, hyperbolic geometry, and low-dimensional topology. He has been recognized with prestigious awards including the Kamil Duszenko Award (2018) and the Whitehead Prize (2024). His research interests include the study of hyperbolic groups, mapping class groups, and coarse geometric structures. Notable work involves characterizing acylindrical hyperbolicity, analyzing Morse boundaries, and exploring applications of hierarchically hyperbolic spaces. Recent studies also address cohomological methods and probabilistic aspects of group actions. Key contributions include foundational work on quasi-isometries, random walks on hyperbolic spaces, and the Farrell-Jones conjecture. His articles often bridge geometric, algebraic, and probabilistic perspectives in group theory. Awards: Kamil Duszenko Award (2018), Whitehead Prize (2024), Invited Speaker at the 2024 European Congress of Mathematics. Activities: Organizer of the Heriot-Watt node of the Scottish Dynamics Network. Research Focus: Hyperbolic structures, group rigidity, and geometric cohomology.

• Musculoskeletal Disorders
• Public Health
• Physical Activity
• +4 more

Paul Jarle Mork is a Professor at the Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU. He leads the EU-funded selfBACK project and participates in the Back-UP project, focusing on musculoskeletal disorders and mHealth solutions. He heads the musculoskeletal research group and oversees the HUNT Study’s objective physical activity measurements. His research interests include lifestyle factors in musculoskeletal health, chronic pain, and digital health technologies. Key projects include developing AI-based apps for low back pain management and exploring determinants of physical activity in aging populations. He has contributed to over 50 peer-reviewed articles in 2025–2024, focusing on musculoskeletal epidemiology, sleep analysis, and occupational health. His work integrates machine learning for health monitoring and public health policy implications. Notable collaborations include the DE-PASS initiative and COST-Action management. His research emphasizes translating evidence into clinical practice, such as the selfBACK app’s process evaluation and cost-effectiveness studies in Denmark. He also investigates long-term health outcomes in populations like prostate cancer survivors and preterm birth cohorts.

Cyril MarzoukView profile

Assistant Professor

• Probability Theory
• Stochastic Processes
• Random Trees
• +6 more

Cyril Marzouk is an Assistant Professor at École Polytechnique , affiliated with the Centre de Mathématiques Appliquées (CMA) (UMR 7641 CNRS). He holds a habilitation à diriger les recherches and is qualified as a professor in mathematics sections 25 and 26. His research focuses on the asymptotic behavior of large random combinatorial structures, particularly random trees, Lévy processes, and random maps, with applications to stochastic geometry and continuum limits. Education: Began studies at Université Paris Diderot and Université Paris-Sud, earned a master's in 2012. Conducted PhD research at the University of Zurich under Jean Bertoin, followed by postdoctoral positions at Sorbonne Université, Université Paris-Saclay, and Université Paris-Cité under Guillaume Chapuy's ERC CombiTop project. Research Interests: Asymptotic analysis of random discrete structures, Lévy trees, random maps, stable laws, percolation, and laminations. Active in the GT ALEA and GDR Branchement networks, organizing seminars at École Polytechnique. Teaching: Teaches probability and stochastic processes at École Polytechnique, including courses for engineering students and the M1 Applied Mathematics and Statistics program. Responsibilities include the Formation préparatoire EV2 and co-organizing the Parcours d'Approfondissement en Mathématiques Appliquées . Labs/Teams: Research conducted at CMA, collaborating on European projects like ERC GeoBrown and ANR Random Graphs and Trees .

Joanne GlinskyView profile

Associate Professor

• Neurological Rehabilitation
• Stroke Rehabilitation
• Physiotherapy
• +3 more

Joanne Glinsky is an Honorary Associate Professor in the Department of Health Sciences at Macquarie University. She holds an External Position as Physiotherapist at Northern Sydney Local Health District and Honorary Associate at University of Sydney. Her academic background includes a PhD and specialized training in Neurological Physiotherapy from the University of Sydney. Her research focuses on neurological rehabilitation, particularly stroke recovery and spinal cord injuries. Key areas include mobility interventions, clinical trial methodologies, and improving physical activity outcomes in post-stroke patients. She leads projects such as the 'Hi-Walk' mobility booster program (2023–2024), investigating high-dose mobility interventions for stroke survivors. Her work integrates device-based monitoring, behavioral interventions, and implementation science to address gaps in long-term stroke rehabilitation. Recent studies explore exercise adherence, technology-assisted activity tracking, and sustainable healthcare program delivery in regional settings.

• Physical Activity Promotion
• Falls Prevention
• Exercise Interventions
• +4 more

Professor Cathie Sherrington is a Professor at the Sydney School of Public Health, University of Sydney, and Senior Principal Research Fellow at the Institute for Musculoskeletal Health. Her research focuses on promoting physical activity and preventing falls in older adults and those with chronic disabilities. She leads a 28-person Physical Activity, Ageing and Disability Research Stream and is Deputy Director of the Institute. With 280+ peer-reviewed articles, her work has shaped international guidelines (e.g., WHO, NICE) and clinical practices. She holds prestigious fellowships (FAHMS, FACP) and ranks #3 globally in falls prevention research. Affiliations: Institute for Musculoskeletal Health (University of Sydney & Sydney Local Health District) Charles Perkins Centre, University of Sydney Key Research Themes: Mobility and falls prevention in ageing populations Exercise interventions for chronic conditions Evidence-based healthcare practices Recent Contributions: Authored Falls in Older People (Cambridge UP, 2021) Leads large-scale trials like SAGE yoga and Active Women over 50 Pioneered digital health interventions in rehabilitation Awards: Fellow of the Australian Academy of Health and Medical Sciences Fellow of the Australian College of Physiotherapists Top-ranked researcher in falls prevention (Scopus/Expertscape) Grants & Teams: Principal Investigator on NHMRC Leadership Fellowships Collaborates with global networks (e.g., Fragility Fracture Network) Labs/Teams: Physical Activity, Ageing and Disability Research Stream Charles Perkins Centre Healthy Ageing Theme Future Work: Scaling fall prevention programs globally Developing AI-driven mobility solutions Advocating for policy integration of physical activity guidelines

• Musculoskeletal Health
• Low Back Pain
• Chronic Pain Management
• +3 more

Associate Professor Debra Shirley is affiliated with the University of Sydney , specifically within the Faculty of Health Sciences . Her research focuses on musculoskeletal health, chronic low back pain, physical activity interventions, and ergonomic solutions for sedentary work environments. Academic Rank: Associate Professor Department: Physiotherapy Research trends from her publications include: Systematic reviews and meta-analyses on low back pain management Studies on genetic and familial influences on chronic pain Development of video-game-based and wearable technology interventions for older adults Epidemiological analyses of physical activity and sedentary behavior in chronic disease Scientific Awards & Grants : Rebecca L Cooper Medical Research Foundation Grant (2016) Ian Potter Foundation Grant (2015) Sydney Southeast Asia Centre Cluster Grant (2014) National Heart Foundation of Australia Support (2012) NHMRC Equipment Grant (2007) Collaborations span institutions like the Norwegian HUNT Study, Spanish twin registries, and interdisciplinary teams in public health and physiotherapy.

• Surgical Oncology
• Colorectal Cancer
• Prehabilitation
• +7 more

Associate Professor Daniel Steffens is affiliated with the Central Clinical School at the University of Sydney, where he focuses on surgical oncology and patient outcomes. His research emphasizes prehabilitation interventions, colorectal cancer treatment, robotic surgery, and the psychological impact of surgery on patients. He has collaborated extensively with institutions like Chris O'Brien Lifehouse and Royal Prince Alfred Hospital. Dr. Steffens' work includes systematic reviews and meta-analyses on prehabilitation efficacy, surgical outcomes, and the role of exercise in cancer recovery. He also investigates geographical disparities in healthcare access and mental health comorbidities affecting surgical outcomes. His studies often involve large cohorts and multidisciplinary teams, highlighting a commitment to evidence-based practice and patient-centered care. Current research students: Charlotte JOHNSTONE (PhD/Master’s) and Adrian SIU (PhD/Master’s) Key collaborations: SPARC multi-disciplinary team program for retroperitoneal sarcoma Advising and grants involve studies on surgical innovations, cost-analyses of hyperthermic intraperitoneal chemotherapy (HIPEC), and robotic surgery implementation. His recent work underscores the importance of consumer input in prehabilitation programs and the need for standardized outcome measures in pelvic exenteration. Labs/teams: Royal Prince Alfred Hospital and Chris O’Brien Lifehouse Collaboration, Centralised Quaternary Referral Centre for complex surgical cases.

Stephen ConnorView profile

Lecturer

• Applied Probability
• Coupling Theory
• Perfect Simulation
• +4 more

Dr. Stephen Connor is a Lecturer in the Department of Mathematics at the University of York. He obtained his undergraduate and PhD degrees from the University of Warwick and joined York in 2008. His research focuses on applied probability, coupling theory, and convergence properties of Markov processes. Research Interests: Specializes in Markov process convergence, stochastic stability, perfect simulation algorithms, and cutoff phenomena in random walks. Key applications include card shuffling, queueing systems, and interacting particle systems. Publication Trends: Recent articles demonstrate theoretical advances in stochastic processes with experimental validation. Works frequently combine mathematical rigor with computational methods to solve complex probabilistic models. Recurring themes include optimal coupling strategies, mixing time analysis, and algorithm development. Professional Activities: Editor for Applied Probability Trust journals Academic Steering Group member - Scottish Mathematical Sciences Training Centre Founder - Probability in the North East research network Research Grants Committee - London Mathematical Society Advising & Outreach: Currently supervises PhD students Georgia Sowerby and Wachiraphong Ratiphaphongthon. Leads school outreach programs on mathematical topics including card shuffling probabilities and cryptography. Served as LMS Holgate Session Leader (2017-2020).

Martin RosvallView profile

Professor

• Complex Systems
• Network Science
• Information Theory
• +2 more

Martin Rosvall is a Professor at the Department of Physics (IceLab section) at Umeå University, with joint affiliation to Molecular Infection Medicine Sweden (MIMS). He leads research on information flows through social and biological systems, developing methods to simplify complex network interactions into interpretable maps. His work addresses critical questions about disease spread, plant stress responses, and biodiversity distribution with applications to sustainability challenges. Research focuses on: Network mapping techniques for complex systems Biogeographical patterns and climate regions Evolutionary transitions in fossil records Higher-order network modeling Recent publications demonstrate strong emphasis on ecological and evolutionary applications of network science, with themes spanning from paleontological analyses to contemporary climate impacts on species distribution. Teaching includes coordination of the Design-Build-Test project course and Information Theory, Networks and Markets.