Professor Damien Woods is a faculty member at Maynooth University's Faculty of Science & Engineering, specifically affiliated with the Department of Computer Science and the Hamilton Institute. He leads groundbreaking research in DNA computing, molecular programming, and optical computing, focusing on self-assembly, algorithmic design, and computational complexity. ERC Consolidator Grant: 'Computationally Active DNA Nanostructures' SFI ERC Support Award EIC Pathfinder Challenge Grant: 'DISCO - DNA Infrastructure for Storage and Computation' His research projects explore programmable DNA storage, molecular robotics, and robust self-assembly systems. Recent publications span diverse topics like algorithmic DNA tile assembly, thermodynamic stability, and computational universality in nanosystems. Awards include ERC and SFI grants, with a focus on bridging theoretical computer science and experimental molecular biology. Scientific Contributions include: 2022: 'Turning Machines' - Molecular Robotics 2019: 'Diverse Molecular Algorithms' in Nature 2017: 'A Cargo-Sorting DNA Robot' in Science
Christian Engwer is a full Professor at the University of Muenster in the Institute for Applied Mathematics, specializing in Analysis and Numerics. He leads the Engwer Group focused on Applications of Partial Differential Equations and is actively involved in the Cells in Motion initiative as a supervisor in the CiM-IMPRS Graduate Programme. His research centers on developing numerical methods for partial differential equations, particularly addressing challenges in complex geometries and multi-physics applications. He specializes in Unfitted Discontinuous Galerkin methods, which allow simulations on complex geometries without requiring domain-fitted meshes. His work spans porous media modeling, biological systems, and bioelectromagnetism applications, with significant contributions to EEG/MEG forward modeling in neuroscience. Analysis of his recent publications reveals a strong focus on model order reduction techniques, stabilized numerical schemes for cut-cell meshes, and applications in bioelectromagnetism. His work demonstrates a consistent trajectory toward developing robust, efficient numerical methods applicable to real-world problems in medical imaging and biological modeling, with increasing emphasis on high-performance computing implementations. Professor Engwer actively supervises doctoral students, with recent completions including Lukas Renelt (2025), Michael Wenske (2021), and Maria Carla Piastra (2019), among others working on topics related to numerical methods and biomedical applications. He leads several major research projects including BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging (NIH-funded since 2019), multiple EXC 2044 Cluster of Excellence projects through 2025, and the InterKI interdisciplinary teaching program on machine learning and artificial intelligence. His group develops several important software packages including DUNE (Distributed and Unified Numerics Environment), duneuro (for bioelectromagnetism applications), and TPMC (Topology Preserving Marching Cubes). These tools support research in numerical methods and their applications to complex scientific problems.
Noa Pinter-Wollman is a Professor in the Department of Ecology and Evolutionary Biology at the University of California, Los Angeles, within the College of Life Sciences . Her work integrates field experiments, laboratory assays, computational modeling, and social network analysis to understand how individual variation among animals translates into emergent collective behavior, and how these dynamics intersect with conservation challenges. Research Focus: Mechanisms underlying collective decision-making in social insects (especially Argentine ants and harvester ants) Social network structure and its ecological consequences in endangered griffon vultures Interface between spatial ecology and social behavior, including impacts on disease transmission and conservation management Biomimetic insights from social animals to inform resilient human-designed systems Across 2023–2025, her team has produced a steady stream of high-impact articles that collectively advance four thematic pillars: (1) microbiome–behavior feedbacks in ants, (2) conservation technology for scavengers, (3) network-analytic methods for disentangling spatial versus social drivers of interaction, and (4) cooperative strategies that underlie invasion success in ants. The work is notable for integrating high-resolution tracking technologies with rigorous statistical modeling. Funding & Collaborations: Current NSF awards include the collaborative grant “ The causes and consequences of Higher Order Interactions (HOI) ” and prior support for “ Uncovering how links between social and spatial interactions affect ecological processes .” These grants foster interdisciplinary partnerships spanning ecology, computer science, and conservation practice. Laboratory & Team: The Pinter-Wollman Lab at UCLA houses graduate researchers, post-docs, and undergraduates who conduct integrative studies on ants, paper wasps, spiders, and vultures. The lab website ( https://pinter-wollmanlab.weebly.com ) provides protocols, data resources, and outreach materials that translate basic findings into actionable conservation guidance for wildlife managers.
Dr. Sameer Mulani is an Associate Professor, Associate Department Head, and Director of Graduate Programs in the Department of Aerospace Engineering and Mechanics at the University of Alabama's College of Engineering. He leads the Stochastic Mechanics and Multi-Disciplinary Optimization Laboratory (SMO Lab) and is an integral part of the Remote Sensing Center and Alabama Materials Institute. Dr. Mulani's research spans uncertainty quantification, random vibrations, multi-disciplinary optimization, and composite structures' multi-scale analysis and design. His work combines computational methods with machine learning to develop innovative solutions for aerospace engineering challenges. He has made significant contributions to self-healing composite materials, uncertainty quantification techniques, and optimization of composite structures. His research group has published extensively on topics including polynomial chaos expansion for uncertainty quantification, self-healing composites, stochastic buckling analysis, and machine learning applications in structural mechanics. The publications demonstrate a strong trend toward integrating probabilistic methods with traditional engineering analysis to improve reliability and safety of aerospace structures. AIAA Associate Fellow, Class of 2025 2025 Department of the Air Force Summer Faculty Fellowship Program 2024 Department of the Air Force Summer Faculty Fellowship Program MSC Software Contest Winner (2011) Night on the Town: General Electric Award (2007) DAAD Fellowship (1999-2000) Dr. Mulani has advised numerous graduate students who have gone on to successful careers at institutions including Los Alamos National Laboratory, Cirrus Aircraft, L3Harris, and Lockheed-Martin. His lab collaborates with various research centers including the Remote Sensing Center where they work on antenna design, manufacturing, and integration for aircraft systems. The SMO Lab utilizes advanced software including MSC NASTRAN/PATRAN, ANSYS Mechanical/FLUENT, ABAQUS, SOLIDWORKS, and CATIA for their simulations and analyses.
Simon Brewster serves as Senior Research Fellow and Consultant Urological Surgeon at the University of Oxford's Hertford College, where he has been Clinical Tutor since 2002 after serving as Lecturer (2002-2011). His clinical work focuses on prostate cancer at Oxford University Hospitals NHS Trust, delivering exam-focused bedside teaching for Years 4-6 medical students. Education: BSc in Anatomy (1st class), Charing Cross Hospital Medical School, 1983 MBBS (Hons. Pathology), Charing Cross Hospital Medical School, 1986 FRCS exams and MD research, Bristol (1988-1998) Brewster's research program demonstrates sequential evolution from basic science (1998-2007) investigating IGF1R targeting and Wnt signaling in prostate cancer to clinical translation (2011-2022) evaluating multiparametric MRI integration in diagnostic pathways and active surveillance protocols. His work bridges laboratory discoveries with patient-centered outcomes, particularly examining how imaging advancements impact treatment decisions and quality of life. The multidisciplinary nature of his clinical research involves close collaboration between urologists, oncologists, radiologists, and pathologists to optimize prostate cancer management. Analysis of his 15 most recent publications reveals three dominant themes: (1) MRI-driven diagnostic refinement including pre-biopsy MRI implementation and active surveillance reclassification, (2) comparative treatment efficacy studies evaluating focal therapy versus radical prostatectomy, and (3) national guideline development through NICE recommendations. His work consistently addresses real-world clinical challenges in prostate cancer management, with strong emphasis on patient satisfaction metrics and practical implementation within the UK healthcare system. Scientific Awards: BJUI Article of the Week (November 18, 2018) for MRI impact on active surveillance As an educator, Brewster has co-supervised four higher research degrees and served as Clinical Supervisor for junior surgical trainees since 1998, including Intercollegiate ISCP Educational Supervisor role since 2009. His grant portfolio includes the UK PART trial (focal therapy vs radical prostatectomy, PI Prof Richard Bryant) and Oxfordshire MRI implementation study (2015-2019). He chairs the Hertford College/Vaughan Williams Prize for Excellence in Clinical Medicine. He leads a multidisciplinary research consortium including Dr. Val Macaulay (basic science) and Prof. W. Bodmer (Wnt pathway research), while coordinating clinical activities through Oxford University Hospitals NHS Trust. His work directly informs national prostate cancer pathways through British Association of Urological Surgeons committees and NICE guideline development.
Sophie Caron is an Associate Professor in the Department of Biological Sciences at the University of Utah, where she leads a research laboratory investigating fundamental mechanisms of brain function using Drosophila melanogaster as a model system. Her work focuses on how the brain generates internal representations of the external world, stores memories, and translates these into behavior through multisensory integration. Education: B.S. from Université de Montréal Ph.D. from New York University Dr. Caron's research centers on the Drosophila mushroom body—a critical brain center for learning and memory—with emphasis on multisensory integration mechanisms. Her lab investigates how the brain combines information from multiple sensory modalities (olfaction, vision, etc.) to form unified percepts, challenging traditional views of sensory processing. Key discoveries include the demonstration that mushroom body connectivity follows near-random patterns that maximize memory capacity, and the identification of cross-modal sensory pathways beyond olfaction. Current work explores evolutionary adaptations in neural circuits across Drosophila species and developmental mechanisms establishing sensory wiring. Analysis of her 15 most recent publications (2019-2024) reveals three dominant research trajectories: (1) high-resolution mapping of Kenyon cell inputs using advanced techniques like dye electroporation, (2) computational modeling of how connectivity patterns shape sensory representation and learning, and (3) evolutionary studies of circuit architecture across Drosophila species. Her work consistently bridges experimental neuroanatomy with theoretical frameworks, emphasizing the interplay between random and structured wiring principles in neural circuit design. Scientific Awards: NSF CAREER Award (2021) for research on brain size evolution and neuronal circuit adaptation Dr. Caron mentors graduate students in the University of Utah's Molecular Biology Program and directs an active laboratory utilizing genetic, imaging, and behavioral approaches. Her research program is supported by competitive grants including the NSF CAREER award, with collaborations spanning neuroscience and evolutionary biology. Current projects investigate multisensory integration mechanisms, evolutionary drivers of neural circuit specialization, and developmental basis of sensory wiring. The Caron Lab maintains specialized facilities for Drosophila neurogenetics, advanced microscopy, and behavioral analysis. Her team collaborates with the University of Utah's Brain Institute and Center for Cell and Genome Science, contributing to interdisciplinary initiatives in neural circuit mapping and evolutionary neuroscience. Ongoing work explores how sensory representations evolve in response to ecological pressures and how circuit architecture enables flexible behavior in complex environments.
Dr. Quirin Thomas Simon Vogel is a Senior Lecturer at the Department of Statistics, University of Klagenfurt. He previously held postdoctoral positions at the Technical University of Munich, New York University Shanghai, and served as an Interim Professor at Ludwig-Maximilians University of Munich. His research bridges probability theory with statistical mechanics and algorithmic applications. Current role: Senior Lecturer (2025) Previous roles: Postdoc (TUM, NYU Shanghai), Interim Professor (LMU Munich) His research focuses on: Random walks and their geometric/stochastic properties Randomized algorithms with applications in statistical models Quantum-inspired probabilistic systems (e.g. interacting bosonic loop soups) Large deviation theory for complex systems Percolation and phase transitions in particle models The articles reflect trends in probability theory, mathematical physics, and algorithmic applications. Key topics include high-dimensional percolation, Bose gas models, neural network theory, and stochastic geometry. The work combines rigorous mathematical analysis with interdisciplinary applications in physics and computer science. Scientific awards and functions cannot be determined from the provided data, as they describe other researchers. The department's research activities include projects on statistical learning, quantum models, and algorithmic probability, though Vogel's direct involvement in these specific funded projects isn't explicitly stated.
Professor Vinay Kumar Gupta is a faculty member in the Department of Civil Engineering at Indian Institute of Technology Kanpur. He specializes in Structural Engineering with research focus on Random Vibrations and Earthquake Engineering. With over two decades of service at IIT Kanpur, he has established himself as a leading expert in seismic analysis and structural dynamics. His educational background includes a PhD and M.S. from University of Southern California, USA (1989, 1990), and M.E. and B.E. from University of Roorkee (1985, 1982). Professor Gupta teaches courses in Mechanics of Solids, Structural Analysis, Structural Design, Structural Dynamics, Earthquake Analysis and Design of Structures, and Random Vibrations. His research focuses on earthquake engineering, particularly in the areas of random vibrations, response spectrum analysis, and structural dynamics under seismic loads. His publications demonstrate expertise in analyzing multistoried buildings, spectral velocity ordinates, modal combination rules, and wavelet-based simulation of aftershock accelerograms. His work bridges theoretical analysis with practical applications in seismic design. Young Engineer Award, 1997 from Indian National Academy of Engineering (INAE) Editor, ISET Journal of Earthquake Technology (since May, 1998) Vice-President, Indian Society of Earthquake Technology (ISET) (04/03-03/07) Life Fellow, ISET since February, 2003 Kapitsa Gold Medal in 2004 from the Russian Academy of Natural Sciences Professor Gupta has mentored students including Riya Catherine George and Varun Kumar Singla. His research group contributes significantly to advancing knowledge in earthquake engineering and structural dynamics. His work has practical applications in improving building safety standards and seismic design methodologies.
Mark Dignan, Ph.D., is a Professor with joint appointments in Behavioral Science, Internal Medicine, and the College of Social Work at the University of Kentucky. He contributes to the Cancer Prevention and Control Research Program, Center for Appalachian Research in Environmental Sciences (UK-CARES), and UNITE Research Priority Area, focusing on reducing health disparities in rural and underserved communities. Doctor of Philosophy, University of Tennessee-Knoxville (1977) Master of Public Health, University of North Carolina (1982) Master of Science, University of Utah (1974) Bachelor of Science, University of Utah (1973) His research evaluates community-based screening and early detection interventions, particularly for cervical, colorectal, and breast cancers. He specializes in health equity, tobacco control, and digital health strategies for rural populations, aligning with UN Sustainable Development Goals related to health and well-being. Recent work includes HPV self-collection programs, digital health interventions for colorectal cancer screening, and behavioral studies during the COVID-19 pandemic. His projects often involve collaborations with state health departments and the National Cancer Institute. R. Davilene Carter Presidential Prize for Best Manuscripts (2012, 2013, 2016, 2017, 2021) University Research Professor Award (2012) Current projects include statewide tobacco control evaluations and multi-institutional trials for cancer screening. He has led over 220 grants and 258 research outputs, emphasizing translational research and community engagement.
Bettina Sandgathe Husebø is a Professor and Head of the Center for Geriatric and Nursing Home Medicine at the Department of Global Health and Community Medicine, Faculty of Medicine, University of Bergen (UiB). She also serves as Innovation Manager at IGS, UiB since 2019. Her extensive career spans clinical practice, research, and leadership roles in geriatric and palliative care. Dr. Husebø completed her medical education at the University of Bonn, Germany in 1988, followed by specialization in Anaesthesiology and Intensive Care in 1995. Her Norwegian qualifications include Medical Specialization in Palliative Medicine (2012) and Nursing Home Medicine (2014) from UiB, along with a PhD from the Faculty of Medicine Dentistry at UiB in 2008. She further enhanced her expertise with a Postgraduate Safety, Quality, Informatics and Leadership (SQIL) Program from Harvard University in 2021. Her research focuses on critical geriatric issues including pain assessment and management in dementia patients, behavioral disturbances in dementia, palliative care in nursing homes, and digital phenotyping applications for elderly care. She has pioneered work on the relationship between pain, agitation, and neuropsychiatric symptoms in dementia patients, particularly through the COSMOS trial and LIVE@Home.Path study. Her recent publications (2023-2025) demonstrate a strong emphasis on digital health solutions for dementia care, with particular focus on activity monitoring, pain assessment through technology, and community-based interventions for aging populations. Her work bridges clinical geriatrics, technology innovation, and patient-centered care models. Among her notable recognitions are the National Dementia Award by His Majesty King Harald of Norway (2022) and multiple awards for research excellence in pain management and palliative care. Her work has significantly influenced Norwegian healthcare policy regarding dementia care and end-of-life practices. As an educator, she lectures in English, German, and Norwegian on dementia, pain in dementia, innovation technologies for older adults, symptom management at end-of-life, systematic medication review, and advance care planning. She has received teaching awards including 'Teacher of the Year' from the Faculty of Medicine and Dentistry at UiB. Dr. Husebø leads the Center for Geriatric and Nursing Home Medicine (SEFAS) and has been instrumental in establishing Norway's first palliative care ward in a nursing home. Her research group focuses on translating evidence into practice to improve quality of life for elderly patients, particularly those with dementia.
Jean-Luc Thiffeault is a Professor of Applied Mathematics at the University of Wisconsin-Madison, serving as Chair of the Department of Mathematics. His research spans applied mathematics, fluid dynamics, and topological chaos, with a focus on mixing mechanisms in viscous flows, biogenic mixing by microorganisms, and computational modeling. Key research themes include: Topology-driven fluid mixing via braid theory; Chaotic advection in low-Reynolds environments; Microswimmer interactions with boundaries and waves; Development of numerical tools for dynamical systems analysis. He has authored significant software packages like braidlab (braid analysis), rodent (ODE integration), and jlt lib (utility functions for scientific computing). Collaborative projects include studies on hagfish slime unraveling, burger flipping dynamics, and Brownian particle winding around vortices. His work is supported by NSF grants DMS-0806821 and CMMI-1233935, emphasizing interdisciplinary approaches combining mathematics, physics, and computational methods.
Dr. Michael Choma is an Adjunct Associate Professor in the Radiology & Biomedical Imaging department at Yale School of Medicine . He also serves as Vice President Clinical at LookDeep Health , a Bay-Area startup developing AI/computer vision technologies for inpatient telemedicine and patient monitoring. Dr. Choma holds a PhD (2004) and MD (2006) from Duke University , completed pediatric training at Boston Children’s Hospital , and pursued postdoctoral research at the Wellman Center for Photomedicine, Massachusetts General Hospital/Harvard Medical School . His research spans biomedical optics , medical imaging , and developmental biology , with a focus on optical coherence tomography (OCT) for studying pulmonary and cardiovascular physiology . He has developed OCT technologies to quantify cilia-driven fluid flow in respiratory systems, investigated embryo heart physiology , and designed novel light sources for speckle-free imaging. His work also bridges clinical medicine and engineering innovation , particularly in digital health and AI-driven diagnostics . Dr. Choma’s publications from 2015-2016 highlight trends in medical imaging , biophotonics , and computational diagnostics , with subfields including optical coherence tomography , fluid dynamics , and point-of-care testing . His scientific awards include the Numenta Startup Prize (2015) and Theodore von Kármán Fellowship (2014) . At Yale, Dr. Choma previously led an NIH-funded biophotonics laboratory and contributed to clinical radiology . He also served as an attending physician in the Yale-New Haven Primary Care Clinic . His interdisciplinary approach integrates medical practice , engineering , and data science , with recent interests in AI bias in medicine , digital pathology , and healthcare innovation .
Tajda Laure is a Researcher at the Erasmus School of Social and Behavioural Sciences , Erasmus University Rotterdam. Her work focuses on emotion regulation , mental health , and digital interventions for university students. Specializes in mobile mental health applications Active in mixed methods research design Collaborates with experts like Dr. M. Boffo and Prof. R.C.M.E. Engels Research Trends : Recent articles highlight her development of the ROOM mental health app, optimization of transdiagnostic emotion regulation interventions, and methodologies involving microrandomized trials and mixed method studies . Her work intersects digital health , positive psychology , and mindfulness practices .
Patricia D. McGuire is an Associate Professor at the School of Social Work , Carleton University , with a PhD in Sociology from the University of Saskatchewan (2013). Her academic work centers on Indigenous knowledge systems, community-based research methodologies, and decolonizing practices within Canadian sociological and social work frameworks. Doctor of Philosophy (Sociology) , University of Saskatchewan (2013) Master of Arts , Lakehead University (2003) Bachelor of Arts (Political Science) and Honours Bachelor of Social Work , Lakehead University (1988) McGuire's research focuses on Indigenous resilience , decolonizing methodologies , and community-driven solutions , particularly examining Anishinaabe societies. She has contributed extensively to sociology and social work literature through book chapters and peer-reviewed articles addressing Indigenous epistemologies, structural barriers in education, and reconciliation processes. Her publications explore topics like urban Indigenous youth safety , land-based education , and Indigenous women's leadership . McGuire has collaborated with the Ontario Native Women’s Association (ONWA) on CIHR-funded projects, including land-based camps and restorative justice practices. Supervision & Education : Supervised PhD and MSW students on CIHR projects (2019–2020), including eight MSW research assistants and one practicum student. Her teaching emphasizes Indigenous community engagement and structural analysis.
Nikolaos Koutsouleris serves as a Research Professor leading the Precision Psychiatry team at the Max Planck Institute of Psychiatry in Munich, Germany. He directs the KOUTSOULERIS LAB, which focuses on developing advanced machine learning methodologies for clinical psychiatry applications. His work bridges computational neuroscience, clinical psychology, and precision medicine approaches to transform psychiatric diagnosis and treatment. Dr. Koutsouleris's research program centers on precision psychiatry, with particular emphasis on multimodal data integration for predicting psychiatric outcomes. His laboratory develops sophisticated machine learning workflows that combine neuroimaging, clinical assessments, genetic information, and biomarker data to create personalized prediction models. This approach enables more accurate identification of individuals at risk for psychosis and other psychiatric disorders, facilitating earlier intervention and tailored treatment strategies. Analysis of Dr. Koutsouleris's publication record reveals a consistent trajectory toward increasingly sophisticated applications of artificial intelligence in psychiatry. His recent work demonstrates a shift from single-modality prediction to complex multimodal frameworks that capture the heterogeneous nature of psychiatric conditions. Key themes include addressing methodological challenges in clinical prediction generalizability, exploring neurobiological underpinnings of mental illness through advanced analytics, and translating computational findings into clinically actionable tools. As leader of the KOUTSOULERIS LAB at the Max Planck Institute of Psychiatry, Dr. Koutsouleris oversees a multidisciplinary research environment that brings together computational scientists, clinicians, neuroscientists, and data analysts. His team collaborates extensively with international consortia to validate prediction models across diverse populations, ensuring robustness and clinical applicability of their findings. The laboratory serves as a nexus for innovation in computational psychiatry, driving methodological advances while maintaining strong connections to clinical practice.
