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Arne Bang HusebyView profile

Professor

• Risk Analysis
• Stochastic Modeling
• Environmental Contours
• +4 more

Arne Bang Huseby is a **Professor** at the **University of Oslo** within the **Department of Mathematics**, specializing in **Risk and Stochastics**. His research focuses on **risk analysis, stochastic modeling, environmental contours, and reliability engineering**, with applications to **aviation safety, marine engineering, and insurance mathematics**. He has contributed significantly to **environmental contour methodologies** for structural design and safety assessment, particularly in marine and offshore contexts. His work integrates machine learning (e.g., XGBoost) for predicting runway conditions and optimizing reinsurance contracts. Key areas include **multistate systems**, **time-dependent risk**, and **climate change impacts on wave climates**. His research has been published in top journals like *Ocean Engineering*, *Reliability Engineering & System Safety*, and *Cold Regions Science and Technology*. Collaborations span academia and industry, addressing challenges in aviation, energy production, and operational risk management. He is affiliated with the **Stochastics of Renewable Energy Markets (STORE)** research group, contributing to interdisciplinary projects on risk assessment and decision support systems.

• Ecological Modeling
• Pattern Formation
• Mathematical Biology
• +3 more

EPJA (Eric) Siero is an Assistant Professor at Wageningen University & Research, affiliated with the Mathematical and Statistical Methods - Biometris department. He holds a PhD from Leiden University (2016) and has held postdoctoral positions at the Universität Münster, Universität Oldenburg (via Humboldt fellowship), and Utrecht University. His research focuses on ecological modeling, pattern formation in ecosystems, and mathematical biology. He teaches courses such as Mathematics 2, Physical Modelling, and supervises MSc theses and internships in mathematical and statistical methods. Research Interests: Eric’s work revolves around understanding spatial patterns in ecological systems, including vegetation dynamics, resilience to environmental changes, and the role of advection, stochasticity, and nonlocal interactions. Key topics include Turing patterns, dryland ecosystems, and critical transitions. His methodologies involve reaction-diffusion systems and stochastic modeling. Awards: Eric received the Humboldt Postdoctoral Fellowship (2018–2019) for his research on patterned ecosystems. His articles explore topics like ecosystem resilience, vegetation collapse, and the impacts of grazing and climate change. Teaching & Advising: He instructs courses such as MAT14903 Mathematics 2, BCT30806 Physical Modelling, and oversees MSc research practices and theses in Mathematical and Statistical Methods. No current advisees are listed, though his courses suggest active teaching roles. Labs/Teams: Part of the Biometris group, focusing on quantitative methods for life sciences. His work bridges mathematics and ecology, contributing to theoretical frameworks for understanding complex environmental systems.

Robbin BastiaansenView profile

Assistant Professor

• Mathematical Modelling
• Differential Equations
• Dynamical Systems
• +4 more

Dr. Robbin Bastiaansen is an Assistant Professor at the University of Utrecht, affiliated with the Faculty of Science. He holds dual roles in the Mathematical Institute and the Marine and Atmospheric Research department, focusing on interdisciplinary research at the intersection of mathematical modeling, climate dynamics, and ecological systems. His work emphasizes the application of dynamical systems theory to understand tipping points in spatial ecosystems and climate feedback mechanisms. Research interests include: mathematical modeling of climate systems, differential equations applied to ecological resilience, and spatial pattern formation in dryland and marine environments. He explores how spatial heterogeneity influences climate tipping cascades and develops early warning frameworks using Earth observation data. Recent publications highlight contributions to understanding fragmented tipping phenomena, transient climate feedbacks, and the role of spatial self-organization in ecosystem resilience. His work bridges theoretical mathematics with applied environmental science, addressing global challenges like climate change impacts on ecosystems. Labs/Teams: Active within the Mathematical Institute's modeling group and collaborating with Marine and Atmospheric Research teams at Utrecht University. Engages in interdisciplinary projects combining mathematical analysis with ecological and climatic data.

Guofen YanView profile

Professor

• Chronic Kidney Disease
• Epidemiology
• Health Disparities
• +6 more

Guofen Yan is a Professor of Biostatistics in the Department of Public Health Sciences at the University of Virginia School of Medicine, with primary affiliations in the Division of Nephrology and Center for Immunity, Inflammation & Regenerative Medicine. Since joining UVA in 2005, she has established a robust research program focused on kidney disease epidemiology and advanced statistical methods, securing multiple NIH R01 grants and mentoring numerous doctoral students and clinician-scientists. Her educational background includes: Ph.D. in Statistics, Case Western Reserve University Dr. Yan's research centers on: Clinical epidemiology and outcomes research in chronic kidney disease (CKD) Racial/ethnic disparities in CKD progression and end-stage renal disease Development of biostatistical methods for survival, longitudinal, and clustered data Competing risks modeling and multistate analyses Multilevel modeling and Bayesian statistical applications Analysis of her recent publications reveals a consistent focus on methodological innovations for addressing racial disparities in kidney disease outcomes among veterans, with particular emphasis on competing risks of death versus kidney failure, social determinants like homelessness, and longitudinal trajectory modeling using Veterans Health Administration electronic health records. Her research funding includes: NIDDK R01DK084200: Racial disparity in quality of clinical care in end-stage renal disease NIDDK R01DK112008: Differential survival selections and care-related determinants among African Americans and Hispanics versus whites with chronic kidney disease Additional federal research grants She has mentored over two dozen doctoral students and numerous clinician-scientists on K awards and collaborative research projects. Dr. Yan actively contributes to the Center for Immunity, Inflammation & Regenerative Medicine through statistical collaboration and participates in interdisciplinary research teams addressing complex clinical questions across multiple disease areas.

Chenchen SongView profile

Assistant Professor

• Quantum Chemistry
• Excited State Dynamics
• Photochemical Processes
• +2 more

Chenchen Song is Assistant Professor in the Department of Chemistry at UC Davis, specializing in theoretical chemistry. Her research develops quantum mechanical methods to model photochemical processes in biological systems and energy applications. She employs GPU-accelerated computing to enable large-scale simulations. Her research program focuses on: Developing polarizable QM/MM models for photoreactions Advancing CASSCF and CASPT2 methodologies Creating efficient tensor factorization algorithms Studying photochemistry in solvents and proteins Recent publications demonstrate strong emphasis on: Hybrid quantum/classical methods for biomolecular systems Scalable multireference electronic structure theory GPU-accelerated computational frameworks Nonadiabatic dynamics in complex environments

• Social Epidemiology
• Cognitive Aging
• Public Health
• +5 more

Mikaela Bloomberg is a Senior Research Fellow in Social Epidemiology and Social Statistics at the Department of Epidemiology and Public Health, University College London (UCL). She is affiliated with the English Longitudinal Study of Ageing (ELSA) research team, focusing on social and behavioral factors influencing health and wellbeing in later life. Her work integrates life course perspectives with longitudinal data to examine inequalities in cognitive ageing, dementia risk, and other ageing-related outcomes. Education background includes a PhD in Epidemiology from UCL (2022), an MSc in Epidemiology from the London School of Hygiene & Tropical Medicine (2019), and a BSc in Computational Biology from Cornell University (2018). Her research aligns with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 5 (Gender Equality). Research interests emphasize understanding how demographic, socioeconomic, and social factors shape health trajectories in older adults. Key areas include cognitive decline, physiological ageing disparities, mobility barriers, and the joint effects of physical activity/sleep on cognition. She has contributed to cross-national studies comparing health outcomes across income levels and sexes. Her publications from 2023-2025 highlight trends in studying sex differences in ageing processes, environmental influences on cognition, and pandemic impacts on health behaviors. Collaborations involve large-scale cohort studies like Whitehall II and ELSA, focusing on frailty, mobility, and functional limitations in ageing populations. While no specific grants or advising roles are detailed, her work consistently addresses health equity through longitudinal analyses. She contributes to UCL's Institute of Epidemiology & Health as a postgraduate teaching assistant.

Renshaw WangView profile

Associate Professor

• Condensed Matter Physics
• Superconductivity
• Magnetism
• +4 more

Renshaw Wang is an Associate Professor at Nanyang Technological University (NTU), Singapore, jointly appointed in the School of Physical and Mathematical Sciences and the School of Electrical and Electronic Engineering. His research bridges condensed matter physics and materials engineering, focusing on emergent phenomena in quantum materials, including oxide heterostructures, two-dimensional systems, and hybrid interfaces. His work explores: Superconductivity : Vortex dynamics, iron-based superconductors, and nickelate systems. Magnetism & Spintronics : Nanoscale control of magnetic anisotropy, multilevel memory, and spin transport. Oxide & 2D Materials : Van der Waals integration, interfacial engineering, and defect-modulated functionalities. Electronic Devices : Ferroelectric memory, superconducting diodes, and low-power nanoelectronics. Recent publications (2022–2024) emphasize quantum material design , with recurring themes in topological effects, interfacial phenomena, and nanoscale control of electronic/magnetic states. His articles frequently appear in high-impact journals ( Nature Electronics , Science Advances , ACS Nano ) and are recognized as editor's picks or featured covers. He leads a research team at NTU advancing thin-film synthesis, nanofabrication, and quantum transport characterization. Collaborative projects span international institutions, focusing on next-generation electronic and photonic devices.

• Rheumatology
• Autoimmunity and Inflammation
• Idiopathic Inflammatory Myopathies
• +3 more

Professor Ingrid Lundberg is a Senior Professor at Karolinska Institutet's Department of Medicine, Solna, within the research group led by Per-Johan Jakobsson and Team Helene Alexanderson. Her work focuses on chronic inflammation, particularly in rheumatology and cancer-related autoimmunity. She holds a Docent degree from Karolinska Institutet (1998). Her research emphasizes idiopathic inflammatory myopathies (IIM), autoantibody profiling, and the pathogenesis of conditions like dermatomyositis and antisynthetase syndrome. She has contributed to classification criteria and genetic studies in myositis, as well as clinical trials evaluating therapies like abatacept and CAR T-cell approaches. Awards include the 2022 Grand Silver Medal from Karolinska Institutet and an honorary doctorate from Universitat Autònoma de Barcelona (2025). She leads the internationally recognized Myositis Clinic, which received the 2024 Heroes in Healthcare award for its research and patient care innovations.

• Aerospace Engineering
• Mechanical Engineering
• Structural Metamaterials
• +5 more

Matthew Santer is a Professor of Aerospace Structures at the Department of Aeronautics, Imperial College London, and Co-Director of the School for Convergence Science in Space, Security and Telecoms. He holds affiliations with the Structural Metamaterials group, The Composites Centre, Space Lab, and other interdisciplinary research units. He earned an MEng in Engineering Science from the University of Oxford and a PhD in Multistable Structures Design from the University of Cambridge. His career includes engineering roles at Astrium (now Airbus) before joining Imperial College in 2008. His research focuses on adaptive/deployable aerospace systems, multidisciplinary structural optimization, multistable materials, and compliant structures. Notable projects include the HATHOR deployable aeroshell for planetary landers and rigid-foldable reflector designs based on origami principles. Key scientific awards include Fellowships from the Royal Aeronautical Society and the American Institute of Aeronautics and Astronautics (AIAA). He advises doctoral students in metamaterials, deployable systems, and related fields. His work bridges computational modeling, experimental validation, and engineering applications in aerospace and space systems. Labs/Teams: Structural Metamaterials Group (co-leader), Composites Centre, Space Engineering Research Unit (affiliated).

Niles A. PierceView profile

Professor

• Biological Engineering
• Translational Research
• Chemical Engineering
• +4 more

Niles A. Pierce is the John D. and Catherine T. MacArthur Professor of Applied and Computational Mathematics and Bioengineering at the California Institute of Technology (Caltech), serving as Executive Officer for Biology and Biological Engineering. He holds a B.S.E. from Princeton University (1993) and a D.Phil. from the University of Oxford (1997). His research focuses on engineering programmable nucleic acid systems for biomedical applications, including molecular diagnostics, synthetic biology, and bioimaging. Key innovations include the Hybridization Chain Reaction (HCR) and the NUPACK computational design framework. Research interests span dynamic nucleic acid nanotechnology, molecular programming, and translational medicine. His team develops tools for multiplexed imaging, CRISPR-based regulation, and instrument-free diagnostics. Notable honors include the Guggenheim Fellowship (2014–2015), Feynman Teaching Prize (2003), and Rhodes/Hertz Fellowships (1993). Education: B.S.E., Princeton University, 1993 D.Phil., University of Oxford, 1997 Administrative Roles: Executive Officer, Division of Biology and Biological Engineering (2007–2013, 2020–) MacArthur Professor (2024–) His labs specialize in four subgroups: programmable regulators, bioimaging technologies, diagnostics, and computational algorithms. Current projects address cell-selective CRISPR regulation, high-resolution protein imaging, and at-home pathogen detection. NUPACK software remains a cornerstone of nucleic acid design research. Awards: Rhodes Scholarship, Hertz Fellowship, 1993 Rozemberg Tulip Award, 2020 Guggenheim Fellowship, 2014–2015 Richard P. Feynman Teaching Prize, 2003 His work bridges computational mathematics and biological engineering, with applications in medicine and environmental microbiology. Future efforts emphasize molecular choreography for precise cellular control and scalable diagnostic platforms.

Collin PayneView profile

Associate Professor

• Demography
• Public Health
• Epidemiology
• +4 more

Collin Payne is an Associate Professor and ARC DECRA Fellow at the Australian National University's School of Demography, where he also coordinates short courses and micro-credential programs. He holds a PhD in Demography from the University of Pennsylvania and a BA in Sociology and Applied Statistics from the University of Wisconsin. His research focuses on life-course processes shaping population health, health inequalities, and methodological advancements in multistate analyses and microsimulation. Payne is an ANU Futures Scheme recipient and Associate Investigator at the ARC Centre of Excellence in Population Ageing Research, with visiting faculty status at Harvard University's Center for Population and Development Studies. Research interests include generational health changes across global contexts, interrelations between mental, physical, and cognitive health, and the demographic impacts of trauma and chronic conditions. Methodologically, he specializes in microsimulation models and causal inference methods for population health. His work has examined healthy longevity trends in Australia, South Africa, and the Asia-Pacific, with a focus on socioeconomic gradients and HIV-related outcomes. Payne has supervised numerous research projects and contributed to grants like 'Advancing Research on Healthy Longevity in Australia and the Asia-Pacific' (2021–2025) and 'Long-Term Impacts of Political Violence on the Health and Wellbeing of China's Elderly' (2022–2024). He leads The Population Lab (Poplab) and maintains an extensive publication record spanning over 50 peer-reviewed articles, with a focus on longitudinal studies, health expectancy dynamics, and global health disparities.

Lee WeidauerView profile

Associate Professor

• Exercise Science
• Gerontology
• Sports Medicine
• +4 more

Dr. Lee Weidauer is an Associate Professor at South Dakota State University (SDSU) within the School of Health and Human Sciences. He teaches in the undergraduate exercise science program and across graduate programs, focusing on injury prevention, sarcopenia, and osteoarthritis mitigation. His research emphasizes extending the health span through diet and physical activity interventions. Education: B.S. (2007), M.S. (2009), and Ph.D. (2012) in Exercise Science/Nutrition from SDSU. He held postdoctoral and research positions at the Ethel Austin Martin Program in Human Nutrition before becoming faculty. Research interests include musculoskeletal health across the lifespan, nutrition-disease linkages, and public health strategies for aging populations. He leads grants funded by USDA, National Pork Board, and others, addressing topics like plant-based diets' impact on health span and stress management in farming communities. Professional roles include Chair-elect of the NE1939 Multistate Research Group, co-coordinator of the graduate nutrition/exercise science program, and membership in the American College of Sports Medicine. Awards include the 2022 NE1939 Research Excellence Award. His work spans collaborative projects on bone density, ACL injury recovery, and mental health in athletes and farmers.

Matthew SperrinView profile

Senior Lecturer

• Clinical Prediction Models
• Causal Inference
• Health Data Science
• +2 more

Dr. Matthew Sperrin is Senior Lecturer and Programme Director of MSc Health Data Science at University of Manchester. PhD in Statistics from Lancaster University focuses on clinical prediction models intersecting with causal inference. Develops methods for healthcare decision support using routine health data. Research priorities: Prediction under intervention methodologies Handling missing data in predictive models Dynamic model updating across populations Fairness assessment in healthcare AI Current projects include CHARIOT for cardiovascular risk intervention optimization and DynAIRx for polypharmacy management. Contributes to UKRI Causality in Healthcare AI hub. Teaches statistical methods for health data science.

• Condensed Matter Physics
• Superconductivity
• Quantum Optics
• +3 more

Peter Littlewood is a Professor of Physics at the University of Chicago's Pritzker School of Molecular Engineering and James Franck Institute. He previously served as Head of the Cavendish Laboratory and Department of Physics at the University of Cambridge, and held leadership roles at Bell Laboratories. His research focuses on condensed matter physics, superconductivity, and quantum materials. Littlewood earned his bachelor's and PhD in physics from the University of Cambridge. Key research areas include polariton condensates, nonreciprocal systems, and the interplay between electronic and elastic phenomena in materials. He has pioneered studies on superconductivity in strontium titanate and explored quantum fluctuations in driven-dissipative systems. His work integrates theoretical physics with experimental techniques like synchrotron tomography and optical spectroscopy. Littlewood is a Fellow of the Royal Society, Institute of Physics, and American Physical Society, reflecting his significant contributions to the field. His career spans academic leadership roles, including directing theoretical physics research at Bell Labs and advancing materials science through interdisciplinary collaborations. Current research emphasizes non-equilibrium quantum systems and their applications in energy and information technologies.

• HIV and Aging
• Nursing Home Care
• Medicare Analytics
• +2 more

Brianne Olivieri-Mui is an Assistant Professor in the Department of Health Sciences at Northeastern University's Bouve College of Health Sciences, with affiliate appointments at the Roux Institute and OHDSI Center. Her research examines healthcare quality and utilization patterns for older adults with HIV, particularly in nursing home settings. Research Focus: Utilizes large-scale observational data to investigate: HIV care quality in long-term care facilities Frailty and comorbidity patterns in aging HIV populations Medicare utilization disparities Health outcomes for sexual and gender minority elders Methodology: Develops novel applications of claims-based frailty indices and analyzes national datasets including Medicare claims, All of Us Research Program data, and cohort studies in Uganda. Recent work examines COVID-19 impacts on quality of life, transitional care management, and frailty measurement in LGBTQ+ older adults. Professional Service: Serves on Massachusetts state advisory boards for HIV epidemic control and maintains scientist affiliation with Hebrew SeniorLife's Marcus Institute for Aging Research. Her lab collaborates with OHDSI community researchers on data standardization and visualization for HIV aging studies.