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David StillwellView profile

Professor

• Psychometrics
• Computational Social Science
• Big Data Analytics
• +3 more

David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.

Chia-Wen ChenView profile

Researcher

• Item Response Theory
• Forced-Choice Items
• Computerized Adaptive Testing
• +3 more

Dr. Chia-Wen Chen is a Psychometrician at the Psychometrics Centre within the Cambridge Judge Business School , specializing in Executive Education. Originally from Taiwan, he holds a PhD in Psychometrics from the Education University of Hong Kong (2018), preceded by a master's degree in Psychology from National Chung Cheng University (2012). His career spans institutions in Taiwan, Hong Kong, Norway, and the UK, including postdoctoral research at the University of Oslo's Centre for Educational Measurement (2019-2023). PhD in Psychometrics (2018), Education University of Hong Kong MSc in Psychology (2012), National Chung Cheng University Postdoctoral Researcher (2019-2023), University of Oslo Chia-Wen's research focuses on Item Response Theory (IRT) models for forced-choice and compositional items , with applications in computerized adaptive testing (CAT) , differential item functioning (DIF) , and multilevel modeling . His work includes developing novel IRT methods for ranking items and Most-Least formats, addressing reliability/validity in educational scales like the Principal Instructional Management Rating Scale (PIMRS), and analyzing large-scale datasets (PISA) for cross-national educational insights. Recent publications demonstrate expertise in ipsative testing , online parameter estimation , and factor mixture modeling for educational diagnostics. He has also contributed to methodologies for CAT algorithms in educational evaluation and fault line analysis in school leadership teams.

• Financial Inclusion
• Microfinance
• Credit Unions
• +3 more

Pal Vik serves as a Senior Research Fellow at Community Finance Solutions within the Salford Business School at the University of Salford. His research spans over 15 years of externally funded projects focusing on financial inclusion, microfinance sustainability, and credit union resilience. He actively contributes to academic discourse through the “Innovation in Financial Inclusion” podcast and supervises PhD candidates in financial inclusion topics. His research interests center on the financial sustainability and social impact of microfinance initiatives, the nature and determinants of financial exclusion, effectiveness of self-regulation mechanisms, and the role of credit unions in promoting financial resilience. His work bridges historical banking analysis with contemporary crisis response, particularly examining how institutions weather events like the COVID-19 pandemic and cost-of-living crises. Vik’s publication record demonstrates consistent thematic focus, evolving from historical banking studies (2016) toward urgent contemporary issues like digital skills impacts on financial inclusion (2024). His research consistently employs mixed-methods approaches, combining quantitative analysis with rich qualitative insights from sector stakeholders. Award Highlights: 2017 Reg Mathews Memorial Prize for SROI research European Microcredit Research Award 2008 for UK CDFI sustainability analysis His grant portfolio includes over 40 externally funded projects since 2009, with recent work examining pandemic impacts on community finance institutions and digital inclusion barriers. He maintains active supervision of PhD students in financial inclusion/exclusion, microfinance, credit unions, financial education, and ethical banking codes. Vik leads research within the Community Finance Solutions unit, collaborating with multiple UK local authorities (Kirklees, Calderdale, Rochdale) to evaluate financial inclusion interventions. His current work focuses on the intersection of digital capabilities and financial access in low-income communities.

• Visual Psychophysics
• Perimetry
• Glaucoma
• +3 more

Peter Jones is a vision science researcher at City, University of London, specializing in developing novel ophthalmic assessment tools. His work focuses on creating accessible vision testing methodologies, including tablet-based perimeters (Eyecatcher), VR/AR impairment simulators (OpenVisSim), and child-friendly assessment protocols. Research Focus: Innovating visual field testing through mobile technology and AI algorithms Quantifying functional vision in retinal diseases (glaucoma, AMD, CRB1-retinopathies) Developing age-appropriate psychophysical tests for pediatric populations Validating real-world vision simulation using VR/AR technologies Publication Trends: Jones' 59+ publications demonstrate consistent focus on translational vision science. Recent work (2020-2025) emphasizes: 1) Home-based monitoring solutions for chronic eye diseases, 2) Child-friendly computerized vision assessments, and 3) Validation of novel perimetry algorithms. His collaborative studies frequently involve clinical validation across diverse populations.

• Psychometrics
• Cognitive Psychology
• Educational Psychology
• +12 more

Martin E. Arendasy is currently affiliated with the University of Graz, Austria, and is an active researcher in psychometrics, cognitive psychology, and educational testing. His work focuses on test design, measurement invariance, and cognitive processes underlying intelligence and creativity. Research interests include working memory training, neural efficiency, transcranial stimulation, and gender differences in cognitive tasks. He employs advanced psychometric models like Item Response Theory (IRT) and structural equation modeling in his studies. The 15 most recent articles highlight his contributions to understanding retest effects, planning ability, and the interplay between cognitive control and creativity. Many studies involve collaborations with co-authors like M. Sommer and S. Kober. Key methodologies: automatic item generation, latent profile analysis, fMRI, and transcranial alternating current stimulation (tACS). Findings address test fairness, neural correlates of intelligence, and strategies to minimize practice effects in cognitive assessment.

David BuscherView profile

Professor

• Optical Interferometry
• Astronomical Instrumentation
• High-Resolution Imaging
• +3 more

Prof David Buscher is a Professor of Astrophysics at the University of Cambridge, affiliated with the Cavendish Laboratory. His work focuses on advancing optical/infrared interferometry through the Magdalena Ridge Observatory Interferometer (MROI) project and the ANDES spectrograph for the Extremely Large Telescope (ELT). He leads efforts in instrument design, automation, and data analysis, with a focus on high-resolution imaging of celestial objects. Education details are not explicitly stated in the text, though his affiliation with the Cavendish Laboratory implies a strong academic background in physics or astronomy. Research Interests: Optical interferometry techniques, interferometric imaging of distant objects (e.g., AGN dust tori, geosynchronous satellites), and development of advanced astronomical instruments. His work bridges theoretical frameworks with practical engineering challenges, emphasizing thermal stability, precision alignment, and real-time data processing. Articles from 2025 to 2020 reflect a progression toward achieving first fringes with MROI, optimizing fringe tracking systems, and exploring applications in space surveillance and exoplanet studies. Collaborations include the European Interferometry Initiative, emphasizing community-driven advancements and diversity in science. Scientific Awards: None explicitly mentioned in the provided texts. Advising & Grants: No explicit student names or grant details are listed. However, his role in MROI and ANDES suggests significant institutional and collaborative project funding. His work involves interdisciplinary teams across mechanical engineering, software development, and astrophysical theory. Labs/Teams: Lead investigator for MROI projects at the Cavendish Laboratory. Collaborates with international teams on ELT instrumentation and interferometry education initiatives.

Armin KashefiView profile

Lecturer

• Modelling and Simulation
• Digital Innovation and Transformation
• Strategic Management of Information Systems
• +1 more

Dr. Armin Kashefi serves as a Lecturer in the Department of Computer Science at Brunel University London within the College of Engineering, Design and Physical Sciences. Holding a PhD and MSc in Management Information Systems alongside a BSc in Software Engineering, he is a Certified Fellow of the Higher Education Academy (FHEA) with a Postgraduate Certificate in Academic Practice. His primary teaching responsibility involves leading the core Business Analysis and Process Modelling module for Business Computing degrees while supervising undergraduate and postgraduate research projects. His academic credentials include: PhD in Management Information Systems MSc in Management Information Systems BSc in Software Engineering Postgraduate Certificate in Academic Practice (PGCAP) Dr. Kashefi's research program spans hybrid simulation modeling, digital innovation, and socio-technical systems. He pioneers multiscale frameworks integrating agent-based, discrete event, and system dynamics approaches to address organizational resilience and operational efficiency challenges. His work extends to digital disaster response systems where he examines social media and collaborative tools in emergency contexts, alongside investigating ICT for development in African communities through projects like TANDEM and Sci-GaIA. This research bridges technical simulation methodologies with critical analysis of organizational behavior and socio-cultural factors in technology adoption. Analysis of his recent publications reveals distinct thematic trajectories: current work (2024-2025) focuses on multiscale modeling for organizational resilience and airport terminal optimization; mid-career research (2018-2020) explores digital disaster workflows and social media in emergencies; while foundational studies (2015-2018) examine ICT adaptation behaviors and community technology initiatives in Ghana and West Africa. This progression demonstrates consistent application of simulation methodologies across evolving application domains from healthcare to critical infrastructure. His professional recognition includes: Fellow of the Higher Education Academy (FHEA) Dr. Kashefi has secured significant research funding through Innovate UK's TEA-PoCT project (2014-2015) for point-of-care testing economic evaluation, and contributed to two Horizon 2020 EU initiatives (2015-2017): TANDEM (TransAfrican Network Development) and Sci-GaIA focusing on EU-Africa research network collaboration. He actively supervises MSc dissertations and final-year projects while teaching Research Project Management and Year 2 Group Projects. Departmental service includes membership on the Athena SWAN Communication Team, Made in Brunel Software Innovation logistics coordination, and the Senior Tutor team supporting student academic progression. He maintains active research collaborations with Dr. Faris Alwzinani, Dr. David Bell, and Prof. Mark Perry while contributing to Brunel's research ecosystem through the Departmental Research Group and ORCID profile (0000-0001-7816-2227). His work consistently bridges theoretical modeling with practical applications in organizational contexts across healthcare, transportation, and disaster response domains.

Tom GaleView profile

Clinical Professor

• Medical Education
• Clinical Education
• Patient Safety
• +9 more

Tom Gale is a Clinical Professor of Medical Education at the Peninsula Medical School, University of Plymouth, where he serves as Director of Assessment for Medicine and Dentistry and Director of the Collaboration for the Advancement of Medical Education Research and Assessment (CAMERA). He is also Joint Programme Lead for the MSc in Healthcare Improvement and Patient Safety. His work spans medical education, clinical skills, patient safety, and trainee wellbeing, with leadership roles in national and international medical education bodies. Research Interests: His primary research areas include medical and clinical education, healthcare workforce development, patient safety, professional wellbeing, and simulation-based learning. He actively explores stressors in anaesthetic training, assessment methodologies, and the integration of theory and practice in clinical education. The most recent articles highlight a strong focus on trainee wellbeing , assessment innovation , and educational policy . Themes include tolerance of ambiguity in new doctors, adaptive testing, remediation programs, and international comparisons in dental education. His work employs qualitative and mixed methods, often involving stakeholder engagement and realist evaluation. Chair, Recruitment Committee, Royal College of Anaesthetists Executive Board Member, European Board of Medical Assessors Member, Quality & Standards Group, Health Education England Member, Curriculum Review Group, Royal College of Anaesthetists Tom Gale has supervised two PhD students to completion—Thuraya Kattan and Rebecca Baines—and oversaw 13 master’s dissertations. He leads multiple externally funded research projects, including those on remediation, trainee wellbeing, and professional preparedness. He has held key educational leadership roles such as Chair of the BMBS Programme Award Board and Director of Clinical Skills & Simulation. He is actively involved in research labs and collaborative networks, particularly through CAMERA, which fosters innovation in medical education assessment and research. His work aligns with UN Sustainable Development Goals related to quality education and good health.