Find Academic Supervisors

• Quantum Cognition
• Cognitive Psychology
• Decision Making
• +7 more

Emmanuel M. Pothos is a Professor in the Department of Psychology at City, University of London, within the School of Arts and Social Sciences. He has held prior academic positions as Senior Lecturer at City, Reader at Swansea University, and Lecturer at both the University of Edinburgh and Bangor University, reflecting a sustained and progressive academic career in cognitive psychology. PhD in Psychology, University of Oxford (1995–1998) BSc in Physics, Imperial College London (1992–1995) His research primarily focuses on quantum cognition, where he applies the mathematical formalism of quantum theory to model cognitive phenomena such as decision-making, judgment, and similarity perception. He investigates violations of classical probability in human cognition, context effects, and the role of ambiguity and conflict in choices. His interdisciplinary work draws from psychology, physics, and computational modeling. The recent trend in his publications reveals a strong emphasis on formal modeling of cognitive processes using quantum probability, with applications extending into behavioral health, financial systems, and foundational questions in decision theory. His work frequently appears in high-impact journals across psychology, physics, and interdisciplinary sciences, indicating a broad scholarly impact. While no formal awards are listed in the provided data, his extensive publication record in top-tier journals and frequent peer-review activities for leading outlets such as Nature , Psychological Review , and PNAS reflect significant academic recognition and service. Dr. Pothos actively collaborates with researchers internationally and has contributed to theoretical advances in understanding how quantum-like structures can explain human cognitive biases and complexities. Although no direct mention of student supervision is made, his role as a professor and prolific researcher implies involvement in mentoring graduate students and leading research initiatives. He has not indicated any lab or research group name, but his work clearly involves collaborative projects in cognitive modeling and decision science.

• Network Analysis
• Random Graph Theory
• High-Dimensional Statistics
• +5 more

Can M. Le is an Associate Professor in the Department of Statistics at the University of California, Davis, within the College of Letters and Science. His research lies at the intersection of statistics, network science, and high-dimensional data analysis, with a focus on theoretical and applied aspects of network modeling and inference. Ph.D. in Statistics, University of Michigan, Ann Arbor His research interests include network analysis, random graph theory, community detection, high-dimensional statistical inference, and regularization of network data. He develops methods for analyzing noisy, complex network structures and has contributed significantly to spectral methods and low-rank approximations in network science. His work bridges theoretical statistics with practical applications in social and biological networks. The recent publications demonstrate a strong trend in modeling and inference for network-linked data, with emphasis on robustness, adaptivity, and concentration properties of random graphs. His work combines deep probabilistic analysis with statistical methodology, particularly in community detection and network estimation under noise and heterogeneity. His research is supported by the National Science Foundation (NSF) grant DMS-2015134, indicating active funding and ongoing contributions to the field. While no formal list of advisees is provided, his collaborative work with leading statisticians such as Elizaveta Levina and Roman Vershynin suggests an active research group and mentoring role. He has no listed scientific awards in the provided text. However, his consistent publication record in top journals (JASA, JRSSB, Annals of Statistics, JMLR) underscores his scholarly impact. Dr. Le's work is closely tied to theoretical and applied statistical research on networks, likely involving a research lab or team focused on network data science, though specific lab names or team structures are not mentioned in the text.

Davide La VecchiaView profile

Professor

• Time series analysis
• Robust and semiparametric inference
• Financial econometrics
• +3 more

Davide La Vecchia is a Full Professor at the Research Institute for Statistics and Information Science (RISIS) at the University of Geneva, Switzerland. He holds dual PhDs in Statistics from Bocconi University (2007) and Economics from Università della Svizzera italiana (2011). His academic journey includes roles as an Assistant Professor at the University of St. Gallen and Monash University, and he has held visiting positions at Princeton University, the University of Copenhagen, and CREST (Paris). His expertise spans time series analysis, robust and semiparametric inference, financial econometrics, and spatial statistics. Key research contributions include work on saddlepoint approximations, optimal transportation methods, and latent variable models. Davide has led multiple grants, including from the Swiss National Science Foundation and the Australian Research Council. He serves as a referee for top-tier journals in statistics and econometrics. Teaching focuses on advanced statistical methods, including probability theory, time series analysis, and multivariate inference. His recent work emphasizes high-dimensional data modeling, spatio-temporal factor models, and applications to commodities trading networks. He has been honored with editorial roles and speaker invitations at global conferences, reflecting his leadership in statistical methodology.

Sami BensassiView profile

Associate Professor

• International Trade
• Development Economics
• Informal Trade
• +7 more

Dr. Sami Bensassi is a Reader in Managerial Economics at the University of Birmingham, affiliated with the Birmingham Business School and the Department of Management. He serves as Head of the Business, Economics and Policy Group and is a member of the Centre for Crime, Justice and Policing. He has been at the university since January 2013 and holds a PhD in Economics from the University of Paris-Nanterre. BA in Economics, Université Toulouse I MA in Development Economics and International Trade, Université Panthéon Sorbonne (Paris I) PhD in Economics, Université Paris X Nanterre His research lies at the intersection of trade, development, and institutions, with a strong focus on informal trade, smuggling, corruption, and conflict zones. He also investigates return migration and trade-related fraud. His work combines empirical analysis with policy relevance, often drawing on data from Africa and the Middle East. His recent publications span topics such as informal trade measurement, trade policy effectiveness, climate impacts on historical trade, and public health interventions in developing countries. These reflect a consistent interdisciplinary and policy-oriented approach, often in collaboration with international organizations. He has received the University of Birmingham's Outstanding International Impact Award for his research on smuggling at Tunisian borders. Research funding from FCDO, European Union, Economic Research Forum, IFPRI Collaborations with World Bank, Food and Agriculture Organisation (FAO) Supervision of PhD and Master’s students (specific names not listed) He is actively involved in research dissemination through his personal website, Google Scholar, and other academic platforms.

Cesar RuizView profile

Assistant Professor

• Metal Additive Manufacturing
• Process-Informed Machine Learning
• Quality Control
• +3 more

Cesar Ruiz is an Assistant Professor in the Department of Industrial & Systems Engineering at The University of Oklahoma. His research focuses on integrating domain knowledge with machine learning and stochastic modeling for engineering applications, particularly in metal additive manufacturing, predictive maintenance, and quality control. He holds a Ph.D. and M.S. in Industrial Engineering from the University of Arkansas and a B.A. in Business Engineering from the Higher School of Economics and Business in El Salvador. His research domains include metal additive manufacturing processes, process-informed machine learning frameworks, and reliability evaluation in complex systems. Notable works address challenges in layer segmentation for quality assessment, predictive maintenance strategies, and degradation-based reliability analysis. Ruiz has received prestigious awards such as the RAMS Golomski Award (2020, 2022), ASQ Best Reliability Paper (2021), and IEEE CASE Best Conference Paper (2021). His affiliations include SRE, INFORMS, and ASME. His research spans aerospace and defense systems, with recent publications emphasizing advanced manufacturing techniques, functional data analysis, and Bayesian modeling for reliability growth. He collaborates on projects involving biosensor optimization and large-scale system maintenance frameworks.

Karen ShenView profile

Assistant Professor

• Health Economics
• Healthcare Labor Markets
• Long-Term Care
• +7 more

Karen Shen is an Assistant Professor in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health. She is affiliated with the Roger and Flo Lipitz Center to Advance Policy in Aging and Disability, the Hopkins Economics of Alzheimer’s Disease & Services Center, and the Hopkins Business of Health Initiative. Her research focuses on healthcare labor markets and financing policies affecting aging populations and individuals with mental health and substance use disorders. PhD in Economics, Harvard University, 2021 MS in Statistics, Stanford University, 2013 BS in Mathematical and Computational Sciences, Stanford University, 2013 Dr. Shen's research lies at the intersection of health economics and public policy. Her work investigates how labor market dynamics, staffing policies, and public financing mechanisms impact care delivery and outcomes, particularly in long-term care and mental health settings. She employs rigorous econometric methods to analyze large-scale datasets and inform evidence-based policy. Her recent publications span topics such as healthcare worker shortages, Medicaid financing of home care, nursing home staffing and quality, opioid use disorder treatment access, and the impact of the pandemic on healthcare employment. The articles reflect a strong trend toward policy-relevant empirical research using quasi-experimental designs and administrative data to evaluate real-world interventions. Alleviating Worker Shortages Through Targeted Subsidies: Evidence from Incentive Payments in Healthcare (2024) Who benefits from public financing of home-based long term care? Evidence from Medicaid (2024) Health Care Staff Turnover and Quality of Care at Nursing Homes (2023) Do Policies to Increase Access to Treatment for Opioid Use Disorder Work? (2023) Job Flows Into and Out of Health Care Before and After the COVID-19 Pandemic (2024) Dr. Shen has not received any explicitly mentioned scientific awards in the provided texts. She advises students in health economics and policy, though specific advisees are not listed. She has been involved in research grants related to aging, Alzheimer’s disease, and healthcare policy through her center affiliations. Her work has been widely disseminated, with publications in top journals and attention from news outlets and social media. She is part of collaborative research networks focusing on aging, mental health, and healthcare systems.

Elizabeth ChinView profile

Assistant Professor

• Causal Inference
• Algorithmic Fairness
• Machine Learning
• +12 more

Elizabeth Chin is an Assistant Professor in the Department of Biostatistics at the Bloomberg School of Public Health, Johns Hopkins University. Her work bridges biostatistics, causal inference, and public health, with a strong focus on equity and ethical decision-making systems. PhD in Biomedical Data Science, Stanford University (2022) BS in Applied Mathematics, UCLA (2017) Her research interests include causal inference, algorithmic fairness, machine learning, and their application to public health challenges such as health inequities, environmental justice, and policy evaluation. She develops statistical methodologies to improve the robustness and fairness of data-driven decisions, particularly in vulnerable populations including incarcerated individuals. Elizabeth Chin's recent publications span high-impact areas such as mental health care disparities, forensic statistics, environmental lead exposure, and pandemic response. Her work often appears in top journals like Nature Machine Intelligence , NEJM , JAMA Pediatrics , and PNAS . A key trend across her articles is the use of advanced statistical methods to address structural injustices and inform equitable policy. National Science Foundation Graduate Fellowship Stanford Graduate Fellowship She has advised and collaborated with leading researchers in biostatistics and public health. Her work has received significant media attention and has been referenced in policy discussions, indicating real-world impact. Elizabeth Chin is actively contributing to national conversations on data ethics, health equity, and scientific rigor in public health.

Eyal LubetzkyView profile

Professor

• Probability Theory
• Combinatorics
• Statistical Mechanics
• +3 more

Eyal Lubetzky is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. His research focuses on probability theory and combinatorics, with notable contributions to the study of Ising models, cutoff phenomena, and random graphs. He holds a Ph.D. in Mathematics from Tel-Aviv University (2007) and a B.Sc. in Mathematics and Computer Science from the same institution (2002). Education: Ph.D., Mathematics, Tel-Aviv University, Israel, 2007 B.Sc., Mathematics and Computer Science, Tel-Aviv University, Israel, 2002 His research interests span probability theory, combinatorics, and statistical mechanics, with a focus on phase transitions, stochastic processes, and the analysis of complex systems. Notable works include groundbreaking studies on the cutoff phenomenon in Ising models and the mixing times of Markov chains. He has authored numerous influential papers, including studies on the dynamics of SOS surfaces, critical wetting phenomena, and the mixing properties of spin systems. His work has been recognized in volumes like What's Happening in the Mathematical Sciences . Lubetzky serves as an Associate Editor for journals such as Probability and Mathematical Physics , Probability Theory and Related Fields , and Annals of Applied Probability . He has organized workshops on topics like Markov chain mixing times and probabilistic combinatorics.

Koenraad SchalmView profile

Professor

• String Theory
• Theoretical Physics
• Holographic Duality (AdS/CFT)
• +7 more

Koenraad Schalm is a Professor of Theoretical Physics at Leiden University, affiliated with the Leiden Institute of Physics (LION) within the Faculty of Science. He leads the Schalm Group, which focuses on string theory and its applications in condensed matter and cosmology through holographic duality (AdS/CFT). His research interests include string theory, quantum critical systems, holographic models of superconductivity, black hole physics, and early universe cosmology. He explores how string-theoretic models can explain experimental observations in quantum materials and primordial fluctuations. The recent publications highlight a strong focus on applying holography to condensed matter phenomena, including strange metals, superconductivity, and non-equilibrium transport. There is also significant work on cosmological perturbations and inflation, showing interdisciplinary reach between high-energy theory and observational cosmology. Vici Innovation Research Incentives Award, NWO (2013) Vidi Innovation Research Incentives Award, NWO (2004) FOM Program group grant 'Observing the big bang: the quantum universe and its imprint on the sky' (2014) NWO Graduate Program Award 'de Sitter Program in Cosmology' (2011) FOM Project grant with J. Zaanen (2009) FOM Program group grant 'A String Theoretic Approach to Cosmology and Quantum Matter' (2009) NWO van Gogh Grant with P.S. Corasaniti (2007) FOM Project grant with E. Verlinde and J.P. van der Schaar (2007) Schalm has advised numerous PhD students and collaborators, including Aravindh Swaminathan, Shankar Aleksandar Bukva, Ludwig Hoffmann, and Petter Säterskog. He has been principal investigator on multiple NWO and FOM grants. He co-organized workshops such as 'Black Hole Answers for Condensed Matter Questions' and 'Effective Field Theory in Inflation', and is actively involved in academic service. He leads the Schalm Group, which investigates the interface between string theory and experiment, particularly through the AdS/CMT correspondence. The group aims to uncover quantum signatures of string theory in condensed matter systems and cosmological data.

Chen-Pang YeangView profile

Professor

• History of Physics
• History of Technology
• History of the Modern Physical Sciences
• +7 more

Chen-Pang Yeang is a Professor at Victoria College, University of Toronto, where he also serves as Director for the Special Project on Scientific Instruments. His work bridges the history of science and engineering, focusing on the modern physical sciences and technological development from the late 19th century to the present. His research interests include the history of physics, electromagnetism, quantum information, noise in communication systems, and the interplay between scientific theory and engineering practice. He investigates how technical knowledge is produced, justified, circulated, and transformed across disciplines and communities. Key themes include instrumentation, signal processing, and the role of amateurs in technological innovation. His publications reveal a strong interdisciplinary focus, combining historical analysis with deep technical understanding. His recent work explores figures like Heinrich Hertz and Chao Yuen Ren, while also addressing broader conceptual shifts in physics and engineering, such as the emergence of cybernetics and quantum information. The articles reflect consistent engagement with both theoretical frameworks and material practices in science. Selected Scientific Contributions: Historical analysis of Hertz’s discovery of electric waves Development of radio ionospheric sounders Evolution of noise measurement in early 20th-century engineering Chao Yuen Ren’s path from linguistics to cybernetics Engineering entanglement in quantum information He has advised or collaborated on research involving wave propagation, SAR imaging, and quantum solitons. His book Probing the Sky with Radio Waves (University of Chicago Press, 2013) is a major contribution to the history of atmospheric science and wireless technology. While no formal students are listed, his collaborative projects suggest mentorship and team-based research. He is associated with no named lab or research group in the text, but his special project on scientific instruments likely involves curated research initiatives.

Hochang B. LeeView profile

Professor

• Psychiatry
• Behavioral Health
• Geriatric Psychiatry
• +3 more

Hochang B. Lee is a Professor and the John Romano Professor and Chair of the Department of Psychiatry at the University of Rochester School of Medicine and Dentistry. He also serves as the Chief of Psychiatry at Strong Memorial Hospital and Regional Chief of Psychiatry for the University of Rochester Medical Center . Previously, he held roles at Yale and Johns Hopkins, including founding director of psychological medicine services and research leadership positions. Education: MD from Jefferson Medical College (1997), followed by psychiatry residency and fellowships in neuropsychiatry and psychiatric epidemiology at Johns Hopkins. Research Interests: His work focuses on innovative behavioral health service delivery for medical/surgical patients, prevention of postoperative neuropsychiatric complications in elders , and Asian American mental health disparities , particularly in dementia and depression. Scientific Awards : Lee has received numerous accolades including the Donald Oken Fellow Award (2020), Don R. Lipsitt Award (2019), and multiple visiting professorships and research institute scholarships. Article Trends : His publications span delirium prevention , geriatric psychiatry , psychosomatic medicine , and mental health service integration . Recurring themes include postoperative cognitive disorders , telemedicine applications , and cross-cultural mental health .

• Maternal and Fetal Medicine
• Reproductive Medicine
• Neonatal Health
• +7 more

Professor Donald Peebles is a Professorial Researcher in Maternal and Fetal Medicine and Honorary Consultant at University College London. He leads the Research Department of Maternal Fetal Medicine, focusing on improving outcomes for women and babies through studies on preterm labor, fetal brain injury, and novel fetal therapies. Doctor of Medicine, University of London (1995) Master of Arts, University of Cambridge (1994) Bachelor of Medicine/Bachelor of Surgery, University of London (1988) Bachelor of Arts, University of Cambridge (1986) His research spans maternal innate immunity, hypoxia-related fetal brain injury, fetal physiology, and molecular therapies for fetal disease. He has pioneered translational research in Women’s Health through leadership roles at UCL and UCLPartners. Scientific contributions include leadership in the DESiGN trial, EVERREST study, and cervical gene therapy research. He supervises 2 PhD students and serves on the RCOG Academic Committee.

Kyle D. RudserView profile

Professor

• Clinical Trials
• Survival Analysis
• Longitudinal Analysis
• +1 more

Kyle D. Rudser is a Professor in the Division of Biostatistics and Health Data Science at the School of Public Health, University of Minnesota - Twin Cities. He serves as the Director of the Biostatistical Design and Analysis Center (BDAC) within the Clinical and Translational Science Institute (CTSI). His educational background includes: PhD in Biostatistics from University of Washington (2007) MS in Biostatistics from University of Washington (2005) BA in Mathematics and Chemistry from St. Olaf College (2002) Dr. Rudser's research focuses on statistical methodologies including clinical trial design and monitoring, survival analysis techniques, longitudinal data analysis, and nonparametric approaches. His work emphasizes developing innovative statistical models for complex biomedical data with applications across diverse clinical domains. His publication portfolio demonstrates extensive expertise in survival analysis methodologies and clinical trial design, with recent collaborative work expanding into interdisciplinary health research areas including obesity interventions, urinary health epidemiology, and chronic disease management. Awards and recognition: Member, Delta Omega Honorary Society in Public Health As BDAC Director, he leads biostatistical support for translational research initiatives across the university medical center.

Rebecca Dizon RossView profile

Associate Professor

• Development Economics
• Applied Microeconomics
• Human Capital
• +5 more

Rebecca Dizon-Ross is an Associate Professor of Economics at the Booth School of Business , University of Chicago. She is also the Charles E. Merrill Faculty Scholar and a former Prize Fellow in Economics, History, and Politics at Harvard University. Her academic journey includes a Ph.D. in Economics from Stanford University and a B.A. (summa cum laude) from Harvard University. University: The University of Chicago School: Booth School of Business Department: Department of Economics Rank: Associate Professor Awards: Charles E. Merrill Faculty Scholar Research Interests : Rebecca focuses on development economics , applied microeconomics , and human capital . Her work examines: Household investments in health and education Effectiveness of interventions to increase investment Parental behavior and gender preferences Dynamic incentive design for health behaviors Policy evaluation in social safety nets Selected Publications span topics in child development , parental decision-making , and public health subsidies . Her ongoing projects include incentives for drug abstinence, the relationship between government benefits and work values, and education's impact on female labor force participation in India. Scientific Awards : Charles E. Merrill Faculty Scholar (University of Chicago) Prize Fellow in Economics, History, and Politics (Harvard University) Education : Ph.D. in Economics (Stanford University) B.A. in Economics (summa cum laude, Harvard University)

Ken OngView profile

Professor

• Epidemiology
• Genetics
• Metabolism
• +6 more

Professor Ken Ong is Professor of Paediatric Epidemiology at the University of Cambridge , jointly appointed in the Department of Paediatrics and the MRC Epidemiology Unit , School of Clinical Medicine . He co-leads the Unit’s Early Life Aetiology and Mechanisms of Diabetes and Related Metabolic Disorders programme with Dr John Perry and serves as an honorary consultant paediatric endocrinologist and clinical lead for childhood obesity at Cambridge University Hospitals NHS Trust . He also chairs the Scientific Advisory Committee on Nutrition’s Subgroup on Maternal and Child Nutrition . Education: PhD in Paediatrics, University of Cambridge and University of Oxford – investigating gene-environment interactions in fetal and early childhood growth using large population-based studies. Research Interests: Professor Ong’s overarching research addresses the early-life determinants of obesity, type 2 diabetes and related metabolic disorders . His programme integrates epidemiology, genetics, physiology and public health to identify developmental trajectories that confer long-term disease risk. Key themes include: The role of rapid postnatal growth and weight gain in programming later metabolic disease. Genetic and environmental influences on puberty timing and their consequences for obesity, diabetes and psychosocial outcomes. Mechanistic pathways linking early growth, reproductive maturation and lifelong health, with a view to informing behavioural interventions that delay puberty and prevent childhood obesity. Publication Trends: Across >150 publications, Professor Ong’s recent work (2024-2025) demonstrates a strong focus on large-scale genetic discovery (GWAS, exome and whole-genome sequencing) for traits such as adiposity, puberty timing, birth weight, proteomic aging and diabetes risk . Methodologically, his team employs Mendelian randomization to infer causality, integrates multi-omics (genomics, epigenomics, metabolomics) and leverages population cohorts (UK Biobank, ALSPAC, TOPCHILD Collaboration). Comparative studies now extend to canine models to validate obesity genes across species, while intervention coding work within TOPCHILD seeks to distil effective behavioural components for obesity prevention in early childhood. Scientific Awards & Recognition: While specific named prizes are not listed in the text, Professor Ong’s sustained leadership of a major MRC programme, chairmanship of national SACN subgroups and honorary NHS consultant role collectively denote significant peer recognition. Grants & Funding: Professor Ong’s programme is core-funded by the Medical Research Council (MRC) through the Early Life Aetiology and Mechanisms of Diabetes and Related Metabolic Disorders strategic award. Additional project grants arise from cross-disciplinary initiatives within Cambridge Reproduction and the Cambridge Metabolic Network. Laboratory & Team: He heads a multidisciplinary team located within the Institute of Metabolic Science on the Cambridge Biomedical Campus, integrating bioinformaticians, geneticists, epidemiologists and clinical researchers. Active collaborations span the MRC Epidemiology Unit, Department of Paediatrics, Cambridge University Hospitals NHS Trust and international consortia.