جست‌وجوی استاد و پژوهشگر

Adrian Wellerمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Machine Learning
• Explainability
• +۹ مورد دیگر

Adrian Weller is a prominent researcher and academic at the University of Cambridge, serving as a Director of Research in Machine Learning within the Department of Engineering. He holds multiple significant leadership roles including Programme Director for Trust and Society at the Leverhulme Centre for the Future of Intelligence (CFI), and previously served as Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI. His work bridges theoretical machine learning research with practical applications and societal implications of artificial intelligence. Weller's research interests span a broad spectrum of AI and machine learning topics with a particular focus on ensuring beneficial societal outcomes. His work encompasses explainability, fairness, robustness, scalability, privacy, safety, and ethics in AI systems. He has made significant contributions to trustworthy machine learning, including developing frameworks for AI governance, certification, and human-AI collaboration. His research group actively investigates neuro-symbolic approaches, privacy-preserving techniques, and methods for improving the reliability and interpretability of AI systems. His recent publications demonstrate a strong trend toward addressing the practical challenges of deploying AI systems in real-world contexts, particularly focusing on certification frameworks, governance mechanisms, and human-centered approaches. His work spans theoretical advances in machine learning architectures while maintaining a strong connection to societal impact, with publications appearing in top venues across AI, machine learning, and interdisciplinary applications. Scientific Awards: MBE for services to digital innovation (2022 Queen's Birthday Honours) Turing AI Fellowship for Trustworthy Machine Learning Weller actively supervises a large group of PhD students and postdocs, with current students including Juyeon Heo, Yanzhi Chen, Katie Collins, Isaac Reid, Yichao Liang, Herbie Bradley, and Shoaib Siddiqui. His former students have gone on to positions at leading institutions including Google DeepMind, ETH Zurich, NYU, and MPI-IS Tübingen. He has served on numerous advisory boards including the Centre for Data Ethics and Innovation, UNESCO's expert group on AI ethics, and the World Economic Forum's Global Future Council on AI. His research has been supported through his Turing AI Fellowship and various collaborative projects focused on safe and ethical AI development. Weller leads a vibrant research group focused on trustworthy machine learning, which actively organizes workshops and conferences including ICML 2024 (where he served as Program Chair), multiple workshops on responsible AI, and events through the ELLIS network. His group collaborates extensively across disciplines, working with researchers in computer science, social sciences, law, and policy to address the multifaceted challenges of developing beneficial AI systems.

Ben Greenمشاهده پروفایل

استاد

• Additive Combinatorics
• Analytic Number Theory
• Harmonic Analysis
• +۳ مورد دیگر

Ben Green is the Waynflete Professor of Pure Mathematics at the University of Oxford and a Fellow of Magdalen College. His work spans additive combinatorics, analytic number theory, harmonic analysis, ergodic theory, discrete geometry, and group theory, with a focus on interdisciplinary approaches. Research Interests: Additive combinatorics and its applications to primes Analytic number theory (prime distribution, L-functions) Harmonic analysis (Fourier methods, spectral theory) Ergodic theory and its combinatorial applications Discrete geometry (ordinary lines, convex structures) Group theory (approximate groups, expansion) Article Trends: His recent work emphasizes multiplicative functions, Ramsey-type problems in number theory, expansion in finite groups, and extremal set theory. Themes include prime gaps, arithmetic progressions, and interactions between analysis and algebra. Scientific Awards: Clay Research Award (2004) Ostrowski Prize (2005) Whitehead Prize (2005) Leverhulme Prize (2007) European Mathematical Society Prize (2008) Royal Society Fellow (2010) Sylvester Medal (2014) Senior Whitehead Prize (2019) Advising: Ben has supervised numerous D.Phil students across additive combinatorics, analytic number theory, and related fields. Past students hold postdoctoral and academic positions globally.

• Branching processes
• Random trees
• Reinforcement processes
• +۹ مورد دیگر

Cécile Mailler is a Reader in Probability at the University of Bath, where she is a member of the probability group Prob-L@B. She has held significant research positions including an EPSRC postdoctoral fellowship (2018-2021) titled "Random trees: analysis and applications" and previously worked as a postdoc at Prob-L@B (2013-2016) as part of Peter Mörters' EPSRC project "Emergence of Condensation in Stochastic Networks". She earned her PhD under the supervision of Brigitte Chauvin and Danièle Gardy at the Laboratoire de Mathématiques de Versailles. Her research focuses on probability theory with emphasis on branching processes, random trees, reinforcement mechanisms, Pólya urns, stochastic approximation, random networks, and statistical physics. She has made significant contributions to understanding preferential attachment models, zero-range processes, and random Boolean trees. Her work bridges theoretical probability with applications in statistical physics and combinatorics. Analysis of her recent publications shows a strong focus on random tree structures, branching processes, and reinforcement learning algorithms, with applications spanning from network theory to statistical mechanics. Her research demonstrates sophisticated mathematical techniques applied to complex stochastic systems, particularly those with reinforcement mechanisms and memory effects. Associate Editor of the Applied Probability Trust (since October 2020) Associate Editor of Stochastic Processes and Their Applications (since March 2022) Author of a general introduction to Pólya urns for the LMS Newsletter (November 2020) Co-organizer of the "Random Walks: Applications and Interactions" conference at CIRM (January 2026) She actively supervises PhD students working on topics including the multi-city ants process, Pólya urns with growing initial composition, large deviations for the Monkey walk, and competing growth processes. She has secured research funding through EPSRC fellowships and has been involved in multiple collaborative projects with prominent researchers in probability theory. Mailler regularly teaches mini-courses on advanced probability topics at international summer schools and workshops, demonstrating her commitment to knowledge dissemination in the field.

Pietro Ortolevaمشاهده پروفایل

استاد

• Decision Theory
• Behavioral Economics
• Experimental Economics
• +۵ مورد دیگر

Pietro Ortoleva is a Professor of Economics and Public Affairs at Princeton University , affiliated with the Department of Economics and the School of Public and International Affairs. His research spans Decision Theory , Behavioral Economics , Experimental Economics , and Political Economy , with a focus on understanding deviations from traditional economic models. Education: PhD in Economics, New York University (2009); BA in Economics, Università degli Studi di Torino (2004). Professional Roles: Coeditor of the American Economic Review (since 2021), former Editor of the Journal of Economic Theory (2018–2020), and editorial board member for multiple journals. His work investigates stochastic choice , ambiguity aversion , and reference-dependent preferences , often through incentivized experiments. Recent studies include the role of social norms in vaccine uptake , cautious utility models , and non-Bayesian belief updating . He has secured multiple National Science Foundation grants for projects on behavioral economics and decision-making under uncertainty. His 15 most recent publications reveal trends in behavioral decision theory , with emphasis on randomization preferences , time lotteries , cognitive biases , and political behavior . These studies frequently bridge economics, psychology, and public policy.

• Analytic Number Theory
• Probabilistic Number Theory
• Random Multiplicative Functions
• +۲ مورد دیگر

Professor Adam Harper specializes in analytic and probabilistic number theory at the University of Warwick. His research examines moments of random multiplicative functions, distribution of zeta sums, and extreme values in number theory. Teaches MA4L6 (Analytic Number Theory) and MA257 (Introduction to Number Theory). Recent publications (2019-2024) address Halász's theorem, Fyodorov-Keating conjectures, and character sum distributions. Research bridges combinatorics, probability, and statistical mechanics, with focus on multiplicative chaos and Gaussian processes.

• Random Matrix Theory
• Probability Theory
• Mathematical Physics
• +۳ مورد دیگر

Dr Nicholas Simm is a Principal Research Fellow in the Department of Mathematics at the University of Sussex, affiliated with the School of Mathematical and Physical Sciences. He has been funded by the Royal Society since October 2018 as a University Research Fellow. His research focuses on random matrix theory, probability, and mathematical physics, with applications to areas such as quantum physics and statistical mechanics. Key research interests include orthogonal polynomials, eigenvalue statistics, multiplicative chaos, and Painlevé transcendents. His work bridges pure mathematics and applied problems, leveraging tools from probability theory and integrable systems. Notable publications include studies on asymptotics of orthogonal polynomials, fluctuations in eigenvalues of random matrices, and connections to the Riemann zeta function. His recent work explores high-frequency limits in holomorphic multiplicative chaos and large deviations in elliptic random matrices. Dr Simm has secured grants from the Royal Society and Leverhulme Trust for projects on random matrices, log-correlated fields, and mesoscopic statistics. He collaborates widely, with co-authors including leading researchers in probability and mathematical physics.

• Neurodevelopmental disorders
• ADHD research
• Remote measurement technology
• +۵ مورد دیگر

Professor Jonna Kuntsi is a leading researcher in developmental disorders and neuropsychiatry at King's College London's Institute of Psychiatry, Psychology & Neuroscience, where she holds a professorship in the Social, Genetic & Developmental Psychiatry Centre. With extensive training including BSc, MSc, and PhD from University College London and clinical experience at Great Ormond Street Hospital for Children, she has established herself as a prominent figure in ADHD research globally. Her research primarily focuses on attention deficit hyperactivity disorder (ADHD) and related conditions, with particular expertise in neurodevelopmental disorders, remote measurement technology applications, developmental trajectories, preterm birth associations, and the effects of physical activity on cognition and ADHD symptoms. Professor Kuntsi has pioneered the ADHD Remote Technology (ART) research programme, securing substantial funding including £4 million from the UK Medical Research Council and European Commission for innovative projects like ART-transition and ART-CARMA. Her publication record demonstrates consistent high-impact research across multiple domains of ADHD investigation, with recent work emphasizing digital phenotyping, remote monitoring technologies, and the developmental aspects of ADHD across the lifespan. This research portfolio shows a clear trajectory toward increasingly sophisticated technological approaches to understanding and managing ADHD. Co-Chair of EUNETHYDIS - the European Network for ADHD Member of the European ADHD Guideline Group (EAGG) Principal Investigator in International Multi-centre Persistent ADHD Collaboration (IMpACT) Steering committee member of ECNP ADHD across the Lifespan Network Steering committee member of ECNP Digital Health Applied to Clinical Research Network Professor Kuntsi actively collaborates with patient support organizations including ADHD Europe and the UK ADHD Information and Support Service (ADDISS), and with technology companies like Empatica and The Hyve. She serves as Chair of the PhD Subcommittee across Departments of Social, Genetic & Developmental Psychiatry and Biostatistics & Health Informatics, demonstrating her commitment to mentoring the next generation of researchers while leading multiple international research networks that advance both scientific understanding and clinical practice in ADHD.

Chris Spencerمشاهده پروفایل

پژوهشگر ارشد

• Statistical Genetics
• Genetic Epidemiology
• Infectious Diseases
• +۳ مورد دیگر

Chris Spencer is a Wellcome Trust Career Development Fellow at the Nuffield Department of Medicine, University of Oxford. His research focuses on statistical genetics, with emphasis on African population genetics, malaria susceptibility (via the MalariaGEN consortium), and stratified medicine applications in hepatitis C (STOP-HCV consortium). He develops methodologies to analyze genetic determinants of host-parasite interactions and their role in disease prevention and treatment. His work explores infectious disease impacts on human immune physiology through natural selection, aiming to translate genetic insights into clinical strategies. Recent studies include structural variation in malaria resistance genes and polymorphisms linked to pneumococcal bacteremia in Kenyan children. His computational tools, such as FINEMAP, advance variable selection in genome-wide association studies. Publications span malaria genetics, viral resistance, and population admixture, reflecting a multidisciplinary approach to genomic medicine. Collaborations with global consortia highlight his commitment to addressing global health challenges through genetics.

Ciara Raffertyمشاهده پروفایل

مدرس ارشد

• Applied Cryptography
• Post-Quantum Cryptography
• Homomorphic Encryption
• +۴ مورد دیگر

Dr. Ciara Rafferty is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, affiliated with the Centre for Secure Information Technologies. She leads research in advanced cryptography, focusing on post-quantum systems, homomorphic encryption, and hardware acceleration. Her work includes quantum-safe cryptography projects like the UK Quantum Communications Hub and AQuASeC (Innovate UK). She co-teaches CSC2056 - Systems Security and Cryptography and actively supervises PhD students. Dr. Rafferty is a Senior Member of IEEE and an EPSRC SPRITE+ Expert Fellow. Research Interests: Homomorphic Encryption Post-Quantum Cryptography Cryptographic Hardware Architectures Privacy-Preserving Technologies Side-Channel Attack Mitigation Key Projects: UK Quantum Communications Hub (Phase 2) SAFEcrypto (H2020 Project) AQuASeC (Toshiba Europe-funded) SEQURED (Rolls Royce-funded) Awards: Senior Member of IEEE EPSRC SPRITE+ Expert Fellow Advising & Grants: PhD Supervision: Shabnam K (Secure Cloud Computation) Funding: EPSRC, Innovate UK, Industry Partners Lab/Teams: Centre for Secure Information Technologies (CSIT), collaborating on hardware-accelerated cryptography and quantum-safe systems.

Rajen Shahمشاهده پروفایل

استاد

• Statistical Inference
• High-Dimensional Data Analysis
• Machine Learning
• +۳ مورد دیگر

Professor Rajen Shah is a faculty member in the Statistical Laboratory at the University of Cambridge, part of the Department of Pure Mathematics and Mathematical Statistics (DPMMS) within the Faculty of Mathematics. His research focuses on statistical methodology, particularly in high-dimensional data analysis, machine learning, and robust statistical inference. He is known for contributions to areas such as change-point regression, inverse propensity score weighting, and efficient estimation techniques in complex models. Key research interests include developing novel methods for variable selection, robust hypothesis testing, and scalable algorithms for large-scale data. He has collaborated on interdisciplinary projects, such as functional genomics studies (e.g., screening conserved genes of unknown function). His work often emphasizes theoretical rigor alongside practical applications in fields like causal inference and computational statistics. Prof. Shah has published extensively in top-tier journals like The Annals of Statistics , Bernoulli , and Journal of the Royal Statistical Society Series B . His recent articles address challenges in cross-validation for change-point detection, rank-transformed subsampling, and sandwich boosting methods. He is actively involved in the academic community, contributing to the Cambridge Statistics Clinic and supervising research in statistical methodology. His research group is affiliated with the Statistical Laboratory at the Centre for Mathematical Sciences, Cambridge. The lab focuses on advancing statistical theory and applications, with a strong emphasis on high-dimensional and assumption-lean methods.

Oliver Johnsonمشاهده پروفایل

استاد

• Information Theory
• Probability
• Statistics
• +۳ مورد دیگر

Professor Oliver Johnson is a faculty member at the School of Mathematics, University of Bristol, UK, where he serves as Head of School and holds the Professor of Information Theory position. His research bridges information theory, probability, and statistics, focusing on entropy convergence, group testing, and fundamental limits in data analysis. Current PhD students: Kieran Morris, Conor Crilly Ex-PhD students: Matt Aldridge, Leonardo Baldassini, Dan Cowley, Vaia Kalokidou, Tom Kealy, Jennifer Chakravarty, Zichen Gui, Chrys Paschou Ex-postdoc: Erwan Hillion His work includes ORCiD profile and collaborations across information theory, cybersecurity, and ecological modeling.

Simon B N Thompsonمشاهده پروفایل

عضو هیئت علمی

• Neuroscience
• Neurology
• Stress Physiology
• +۵ مورد دیگر

Dr. Simon B N Thompson is an Associate Professor at Bournemouth University and a Visiting Professor at Université Paris Ouest Nanterre La Défense . As a member of the International Scientific Council for Research into Multiple Sclerosis , his work bridges neuroscience, endocrinology, and clinical diagnostics through the Thompson Cortisol Hypothesis. Key Research Focus: Cortisol-yawning connection, brain thermoregulation, and MS-related fatigue. Methodology: fMRI studies, electromyography, and international comparative analysis. Scientific Contributions: Proposed cortisol as diagnostic biomarker for neurological disorders and developed protocols for yawning-related stress response. Current projects aim to create early MS detection systems using cortisol metrics. Awards & Collaborations: Santander Travel Scholarship International partnerships with Princeton University, Bard College, and French MS Society Collaboration with Dr. Andrew Gallup on yawning mechanisms Public Engagement: Featured in New Scientist and multiple international conferences (Paris, Dubai, New York). His work has been presented to the French Ambassador and received cross-disciplinary support from the MS Society Osborne Centre.

Ayla Humphreyمشاهده پروفایل

استادیار

• Child and Adolescent Mental Health
• Clinical Psychology
• Autism Spectrum Disorders
• +۵ مورد دیگر

Ayla Humphrey is an Assistant Professor and Consultant Clinical Psychologist at the University of Cambridge Department of Psychiatry . Her research focuses on early identification of mental health needs in children, cognitive therapy for trauma-exposed youth, and developmental disorders like autism and Tuberous Sclerosis . She serves as Course Director for the MPhil Foundations of Clinical Psychology and co-founded the NHS Cambridge Centre for Paediatric Neuropsychological Rehabilitation . Her research spans Child and Adolescent Mental Health Services (CAMHS) integration with social care, trauma-focused cognitive therapy , and developmental disorder screening . Key collaborations include the NIHR-funded COACHES study and the PYCES (Parents and Young Children under Extreme Stress) project. Scientific awards include the 2017 British Psychological Society Award for Outstanding Contribution to Applied Practice . She actively supervises PhD students and contributes to school-based mental health identification frameworks . Her work emphasizes evidence-based service transformation and cross-sector collaboration.

• Mental Health
• Primary Care
• Depression
• +۷ مورد دیگر

Professor Irwin Nazareth serves as Professor of Primary Care and Population Science at University College London's Department of Primary Care & Population Health. He previously held leadership roles including Head of Department (2006-2015) and Director of the MRC General Practice Research Framework (2005-2012), and currently directs the PRIMENT Clinical Trials Unit. His work bridges clinical practice, research, and education in primary care settings. His research spans mental health in primary care , with specific focus on depression, anxiety, psychosis, addiction disorders, and unexplained medical symptoms. Methodologically, he specializes in designing complex intervention trials and analyzing big data from clinical databases. His work extends internationally across Europe, South America, Africa, and South Asia, with significant projects in India. Nazareth's recent publications reveal strong trends in functional neurological disorders (particularly Physio4FMD trials), epilepsy dietary interventions (KIWE trials), and digital health solutions for tobacco cessation. His work consistently combines clinical neurology, mental health, and innovative trial methodologies with practical primary care applications. As an educator, he supervises doctoral students in Primary Care and Mental Health, teaches clinical medicine to medical students, and provides continuing education for GPs. He also leads Commonwealth Fellowship programs training healthcare professionals from Africa, India, Southeast Asia, and the Caribbean. Secured major funding from MRC, Wellcome Trust, Cancer Research UK, European Commission, and NIHR Extensive international collaborations across multiple continents Focus on implementation of research findings into clinical practice Expertise in complex intervention trials and big data analysis

• Heart Failure
• Cardiovascular Disease
• Type 2 Diabetes Mellitus
• +۵ مورد دیگر

Ify Mordi, PhD, serves as a Clinical Senior Lecturer and Honorary Consultant in Teaching and Research within the Division of Cardiovascular Research at the University of Dundee's School of Medicine. With an impressive research portfolio spanning over a decade, Dr. Mordi has published 139 research outputs and secured significant funding from organizations including the British Heart Foundation and Juvenile Diabetes Research Foundation. Her work contributes to UN Sustainable Development Goals related to good health and well-being through innovative cardiovascular research. Dr. Mordi's research focuses on the intersection of cardiovascular disease and diabetes, with particular expertise in heart failure (especially heart failure with preserved ejection fraction), aortic stenosis, and coronary artery disease. Her work increasingly incorporates artificial intelligence applications in cardiovascular medicine, including groundbreaking research using retinal imaging to predict cardiovascular outcomes. She leads multiple major research initiatives including the SOPHIST trial investigating Sotagliflozin in patients with heart failure symptoms and type 1 diabetes, and the UK HFpEF Registry in collaboration with the University of Manchester. Analysis of Dr. Mordi's recent publications reveals a strong trend toward integrating advanced analytics and AI with traditional cardiovascular research. Her work spans genetic epidemiology, clinical trials, population health studies, and innovative diagnostic approaches. The research demonstrates growing emphasis on precision medicine approaches for cardiovascular disease, particularly in diabetic populations, and the development of non-invasive diagnostic tools that could transform clinical practice. Dr. Mordi actively contributes to academic mentoring through PhD examinations and serves as an invited speaker at international conferences. Her research has received significant media attention, with coverage in 13 news outlets and mentions across social media platforms, highlighting the translational impact of her work. She has been involved in multiple high-impact collaborative projects including the iDiabetes Platform for enhanced phenotyping of diabetes patients and the REACH-HFpEF study examining home-based rehabilitation for heart failure patients. Through her leadership in the British Heart Foundation-funded Clinical Fellowship focused on improving prediction and prevention of heart failure in type 1 diabetes, Dr. Mordi is establishing herself as a key investigator in the field of cardio-diabetology. Her research program bridges basic science, clinical application, and health services research to address critical gaps in cardiovascular care for diabetic patients.