Find Academic Supervisors

Theo KlimstraView profile

Senior Lecturer

• Adolescence Development
• Identity Development
• Personality Development
• +4 more

Theo Klimstra is a Senior Lecturer at the Eliot-Pearson Department of Child Study & Human Development, Tufts University. His research focuses on adolescence and young adulthood, particularly identity and personality development. He employs advanced quantitative methods, including structural equation modeling, alongside qualitative approaches. Klimstra investigates identity formation across diverse cultural contexts and populations, such as clinical and non-clinical samples. He holds a PhD from Utrecht University (2010) and an MSc in Psychology from the University of Groningen (2005). His work explores narrative identity, the role of exemplars in identity formation, and the impact of global experiences like study abroad. He has received the EARA Outstanding Junior Mentor Award (2018). Klimstra teaches courses on developmental science, including 'Childhood Across Culture' and statistical methods. He actively contributes to academic organizations such as the International Society for Research on Identity (ISRI) and has organized conferences on identity and emerging adulthood. Klimstra’s research has been supported by grants examining identity-personality interactions and resilience. His publications span topics like identity negotiation, the longitudinal effects of parent-adolescent relationships, and psychometric scale development. He emphasizes teaching as a collaborative process that fosters students’ critical thinking and self-reflection.

Agar BrugiaviniView profile

Professor

• Economics
• Social Security
• Retirement Studies
• +2 more

Agar Brugiavini is a Full Professor at Ca' Foscari University of Venice's Department of Economics with significant institutional roles including Member of the Steering Committee of the Ca' Foscari International College, Ethics Committee member, and Coordinator of the Master's Degree Programme in Data Analytics for Business and Society. Her research focuses on: Economics of aging and retirement systems Social security policy evaluation Health economics and long-term care Labor market dynamics for older workers Impacts of demographic changes on social policies Her recent publications demonstrate strong emphasis on pandemic impacts on labor markets, social care systems, and elderly populations, with methodological approaches spanning econometric analysis of survey data and cross-national comparative studies. The research shows consistent focus on vulnerable populations and policy-relevant outcomes. Dr. Brugiavini maintains active research collaborations as evidenced by multi-country studies using SHARE survey data and participates in key academic leadership positions within her institution.

Yana SuchyView profile

Professor

• Neuropsychology
• Executive Functions
• Cognitive Assessment
• +5 more

Yana Suchy is a Professor in Clinical Psychology and Neuropsychology at the University of Utah. She leads the ConVExA Lab and Executive Lab, focusing on executive functions and their role in daily living. Her research spans neuropsychological assessment, aging, and cognitive vulnerabilities in neurodegenerative conditions. Education: Ph.D. in Psychology (University of Wisconsin-Milwaukee, 1998), Postdoctoral fellowship in Clinical Neuropsychology (Evanston Hospital, 1998-2000) Labs: ConVExA Lab, Executive Lab Contact: Office 1301b BEHS, Phone 801-585-0796, Email yana.suchy@psych.utah.edu Her research explores executive functions as a stable yet fluctuating trait that determines daily behavior in healthy aging and clinical populations (e.g., dementia, brain injury). She developed the Contextually Valid Executive Assessment (ConVExA) model to address gaps in ecological validity, emphasizing how task complexity and environmental factors influence functional outcomes. Recent publications analyze executive function testing (D-KEFS), emotion regulation, diabetes management, and intra-individual variability. She mentors graduate students in advanced research methods and clinical applications. Her work highlights the interplay between executive functioning, sleep quality, pain, and self-regulation in older adults, with implications for personalized medicine and neuropsychological assessment.

Steven MansonView profile

Professor

• Geographic Information Science
• Environmental Science
• Biocomplexity
• +12 more

Dr. Steven Manson is a Professor in the Department of Geography, Environment, and Society at the University of Minnesota's College of Liberal Arts, where he also served as Associate Dean for Research and Graduate Programs. He directs the Human-Environment Geographic Information Science (HEGIS) laboratory and leads major data science initiatives like the National Historical Geographic Information System (NHGIS) and IPUMS Terra. PhD in Geography, Clark University (2002) BA Honours in Geography, University of Victoria (1995) His research focuses on geographic information science and human-environment systems , using agent-based modeling and big data to analyze land use change, urban dynamics, and sustainability challenges. Recent work explores spatiotemporal data harmonization and geospatial cyberinfrastructure . The articles reveal trends in GIScience methodology , urbanization analysis , and data-intensive sustainability research . Key contributions include self-organizing map applications for health data and hybrid statistical-GIS techniques for environmental policy. Scientific accolades include: Ecological Society of America Sustainability Science Award NASA Earth System Science Fellow McKnight Land Grant Professorship As Principal Investigator for NHGIS and IPUMS Terra, he secured over $40M in NSF, NIH, and DOJ grants for spatiotemporal data infrastructure. Outreach initiatives include developing open geospatial textbooks adopted globally and collaborating with Twin Cities K-12 programs.

LEE Mong LiView profile

Professor

• Data Management
• Data Cleaning
• Data Fusion
• +5 more

LEE Mong Li is a Professor of Computer Science at the National University of Singapore (NUS) and serves as Director of the NUS Centre for Trusted Internet and Community. She holds a Ph.D., M.Sc., and B.Sc. (First Class Honours) in Computer Science from NUS, where she was awarded the IEEE Singapore Information Technology Gold Medal as the top Computer Science student in 1989. Her academic career includes a visiting fellowship at the University of Wisconsin-Madison (1999) and consultancy with QUIQ USA (2000). Her research spans Data Management, Spatio-temporal Databases, Biomedical Informatics, and Retinal Image Analysis . She has pioneered work in data cleaning, data fusion, and analysis of semistructured data, with applications in social media analytics and healthcare. Her recent publications demonstrate strong interdisciplinary focus, particularly in AI-driven medical diagnostics including diabetic retinopathy screening and chronic kidney disease detection from retinal images. She co-authored foundational books on 'Designing Semi-structured Database' and 'Temporal and Spatio-Temporal Data Mining'. Her 150+ publications in major database conferences and journals reflect leadership in both theoretical and applied research. Recent work shows significant emphasis on Medical AI applications (retinal analysis, kidney disease prediction) Temporal fact verification systems Misinformation detection in multimodal environments Privacy challenges in large language models Key honors include: Singapore's President Technology Award (2014) for co-inventing an AI system screening eye conditions IEEE Singapore Information Technology Gold Medal (1989) She actively contributes to government-funded multidisciplinary projects building practical deployable systems. Her leadership extends to program committees of prestigious database conferences and directing the NUS Centre for Trusted Internet and Community. She teaches BT5110 Data Management and Warehousing and has co-developed an AI system for diabetic retinopathy screening deployed in Singapore's national teleophthalmology program.

Guy WoodwardView profile

Professor

• Ecology
• Aquatic Ecosystems
• Climate Change
• +7 more

Professor Guy Woodward is a Professor of Ecology at Imperial College London's Department of Life Sciences (Silwood Park), part of the Faculty of Natural Sciences. He leads the NERC ERCITE Programme and holds affiliations with the Freshwater Biological Association, serving on its Board of Directors. His research focuses on the impacts of stressors like chemical pollution, climate change, and habitat alteration on aquatic ecosystems, particularly food web dynamics and metabolic theory. Woodward has secured over £13M in grants, including a £2.5M ERCITE grant, and collaborates with international experts such as Dr. Jose Montoya and Prof. Owen Petchey. His work emphasizes individual-based approaches to ecological networks and the application of allometric scaling laws. Key contributions include studying geothermally heated streams in Iceland and experimentally warming mesocosms to understand climate impacts. Woodward has supervised numerous PhD students, including Dr. Gabriel Yvon-Durocher, Dr. Julia Reiss, and Dr. Eoin O'Gorman. Education: PhD in Ecology from the University of London and BSc (Hons) in Ecology & Environmental Management from Cardiff University. His research spans over 20 years, with notable grants from NERC, the European Science Foundation, and AXA Insurance. He co-authored the Next Generation Biomonitoring series and serves as Series Editor for Advances in Ecological Research (Elsevier). Current affiliations include the Georgina Mace Centre for the Living Planet and the Grantham Institute. Research highlights include quantifying climate-warming effects on food webs, developing metabolic theory applications, and investigating synergistic stressor impacts. His team explores ecological resilience, with projects like 'Restoration of Chalk Rivers' and 'Climate Change Impacts on Freshwater Food Webs'. Woodward's work bridges theoretical and applied ecology, aiming to inform conservation and ecosystem restoration strategies.

Robert D. Gregg, IVView profile

Associate Professor

• Wearable Robots
• Legged Robots
• Prosthetics & Orthotics
• +3 more

Robert D. Gregg, IV is a Professor of Mechanical Engineering, Robotics, and Electrical & Computer Engineering at the University of Michigan. He serves as Associate Director for Graduate Education at Michigan Robotics and directs the Locomotor Control Systems Laboratory. His research focuses on control systems for wearable robots, prosthetics, and orthotics, emphasizing biomimetic principles and nonlinear control theory. Gregg holds a PhD from the University of Illinois at Urbana-Champaign (2010) and prior academic roles at the University of Texas at Dallas and Northwestern University. Education: PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2010 MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2007 BS, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2006 Research Interests: Gregg’s work spans control mechanisms for bipedal locomotion, wearable robotics, nonlinear control theory, and rehabilitation engineering. His lab develops high-performance control systems for prosthetic legs and exoskeletons to enhance mobility for individuals with disabilities. Key areas include energy-efficient control strategies, adaptive impedance systems, and biomechanical modeling of human movement. Grant & Award Highlights: $3M NIH R01 Grant (2023): Modeling and control of agile powered prosthetic legs for varied activities. $1.7M NIH R01 Grant (2021): Modular powered orthoses for broad patient populations. NSF CAREER Award (2017) NIH New Innovator Award (2013) Advising & Labs: Gregg mentors PhD students in robotics and biomechanics, emphasizing independent research and collaborative team environments. His lab supports over 15 researchers and has produced notable alumni like Dr. Cara Welker (University of Colorado Boulder faculty). The lab’s work is supported by NIH, NSF, and industry partnerships. Recent Contributions: Recent work includes phase-variable control for stair climbing, energy shaping methods for exoskeletons, and open-source robotic leg platforms. Gregg also chairs major robotics conferences (e.g., IROS 2023) and advises on clinical translation of wearable robotics.

• Computational Linguistics
• Cognitive Science
• Machine Learning
• +3 more

Lena Jäger is a Professor in the Department of Computational Linguistics at the University of Zurich (UZH). Her research focuses on the intersection of linguistics, computational cognitive science, and machine learning, particularly analyzing cognitive mechanisms underlying human language processing through experimental psycholinguistics, computational modeling, and NLP methods. She holds an MA in Chinese Language and Culture, an MSc in Experimental and Clinical Linguistics, a PhD in Cognitive Science, and a BSc in Computer Science. Prior to UZH, she led a Machine Learning Junior Research Group funded by the German Federal Ministry of Education and Research (2020) and conducted postdoctoral research at the University of Potsdam. Her work emphasizes developing machine learning methods for analyzing eye-tracking data to uncover cognitive processes reflected in eye movements. Notable contributions include creating multilingual eye-tracking corpora (e.g., MultiplEYE, PoTeC) and advancing tools like pymovements for data processing. Her research spans applications in language comprehension, biometric identification, and clinical diagnostics (e.g., ADHD detection via eye movements). Education: BA/MA: Chinese Language and Culture (University of Freiburg, Tongji University, Beijing Language and Culture University, Université Paris 7) MSc: Experimental and Clinical Linguistics (University of Potsdam) PhD: Cognitive Science (University of Potsdam) BSc: Computer Science (concurrent with PhD) Awards: Machine Learning Junior Research Group Grant (2020). Labs/Teams: Leads computational linguistics and machine learning research groups at UZH, collaborating on projects like ScanDL and CoLAGaze. Her recent work bridges AI and cognitive science, exploring how language models emulate human reading behaviors and developing frameworks for ethical AI applications. Ongoing projects include improving fairness in biometric identification systems and analyzing individual differences in reading through synthetic data.

• Mathematical Physiology
• Dynamical Systems
• Mathematical Modeling
• +3 more

Gerda de Vries is a Professor in the Department of Mathematics & Statistical Sciences at the University of Alberta, Faculty of Science. Her research focuses on mathematical physiology, dynamical systems, and mathematical modeling, particularly in cellular biophysics, pattern formation, and systems biology. She has contributed extensively to understanding complex biological systems through interdisciplinary approaches combining mathematics and biology. Her work spans applications in radiation biology (e.g., cell cycle dynamics and low-dose radiation effects), biophysics (microtubule organization, motor proteins), ecology (predator-prey interactions, forest fire modeling), and education (adapting primary literature for STEM teaching). Recent research highlights include analyzing saddle-node bifurcations, bystander effects in radiation, and collective behavior in animal groups. De Vries has published over 50 peer-reviewed articles since 2000, with a focus on bridging abstract mathematical theory to concrete biological phenomena. Notable contributions include models of pancreatic β-cell dynamics, immune system versatility, and educational frameworks for mathematical biology. Her academic career includes leadership in curriculum development and interdisciplinary research, though no specific grants or awards are explicitly listed in the provided information.

Andrés VelascoView profile

Professor

• Macroeconomics
• Economic Policy
• Populism
• +3 more

Andrés Velasco is Dean of the School of Public Policy at the London School of Economics and Political Science (LSE). Formerly, he served as Chile's Minister of Finance (2006–2010) and held academic positions at Columbia University and Harvard Kennedy School. He specializes in macroeconomics, economic policy, populism, and development. His research explores fiscal policy, inflation targeting, and crisis management in emerging economies. He has authored over 100 academic articles and books, including Liberalismo en Tiempos de Cólera and Contra la Desigualdad . Velasco has advised governments globally and chairs international commissions like the Global Panel on Multilateral Lending Institutions. Awards include the Inter-American Development Bank's Excellence in Research Award (2006). His work bridges academic rigor and policy relevance, addressing global challenges in finance, development, and governance. Education: BA/MA Yale University, PhD Columbia University, Postdoctoral Fellowship at Harvard/MIT. Awards: Multiple recognitions for economic research and policy contributions. Publications: Over 100 articles, books on macroeconomic policy, and policy analyses. Professional Roles: G20 Eminent Persons Group member, Board roles at Adecoagro and Itaú-Unibanco. Research focuses on fiscal rules, commodity-driven booms, and the political economy of policy reforms. His recent work addresses pandemic economics, inflation dynamics, and populism's impact on governance.

• Political Communication
• Public Opinion Studies
• Crisis Communication
• +4 more

Carles Pont Sorribes is an Associate Professor and Vice-Dean at the Faculty of Communication at Universitat Pompeu Fabra (UPF), where he also directs the Journalism Degree program. He serves as Academic Director of the Master in Political and Institutional Communication at UPF Barcelona School of Management. His academic journey includes a Ph.D. in Social Communication, a Master's in Social Communication, and a Bachelor's in Journalism and Education Sciences. Education: Ph.D. in Social Communication Master's in Social Communication Bachelor's in Journalism and Education Sciences His research focuses on political communication, public opinion, risk/crisis communication, and journalism. Key themes include the Catalan sovereignty process's international media coverage, digital news credibility, and media engagement strategies. Recent work explores AI's role in journalism training and the impact of disinformation on senior populations. Publications highlight trends in crisis communication (e.g., Ebola and Germanwings disasters), the framing of Catalan independence in global media, and the evolution of Twitter as an emergency communication tool. His books include El impacto del engagement y el futuro de la empresa periodística (2022) and Risk and News (2020). Dr. Pont Sorribes has no listed scientific awards but contributes to academic-industry collaboration through his roles in educational programs. His work emphasizes media sustainability and audience loyalty, with proposals for operational frameworks in journalism.

Zhaohai LiView profile

Professor

• Genetic Epidemiology
• Statistical Methods for Meta-analysis
• Clinical Biostatistics
• +3 more

Dr. Zhaohai Li Professor of Statistics at George Washington University, specializing in statistical methodologies for genetic epidemiology and clinical biostatistics. His research focuses on meta-analysis techniques, empirical Bayes methods, and population-based study designs. He has contributed extensively to improving statistical approaches in clinical trials and addressing challenges in genetic association studies. Education: Ph.D. in Statistics, Columbia University, 1989 Research Interests: His work addresses critical issues in modern biostatistics including: Population stratification in genetic studies Hardy-Weinberg equilibrium testing Optimal experimental design for case-control studies Handling missing data in genetic linkage analysis Development of robust statistical tests for complex survey data Publications Overview: Dr. Li's recent work emphasizes methodological advancements in: Bayesian approaches to population genetics Meta-analytic frameworks for combining study results Statistical solutions for multi-stage clinical trials Algorithmic improvements for genome-wide association analyses Professional Contributions: His articles consistently address practical challenges in biomedical research, bridging theoretical statistics with real-world genetic and clinical applications.

Lorenzo PellisView profile

Research Fellow

• Infectious Disease Epidemiology
• Mathematical Modeling
• Epidemiology
• +6 more

Dr. Lorenzo Pellis is a Research Fellow at the University of Manchester, holding the Sir Henry Dale Fellowship, and a Visiting Fellow at the University of Warwick's Mathematics Institute and Zeeman Institute. He is also an Honorary Research Associate at the Medical Research Council (MRC) Centre for Outbreak Analysis and Modelling, within the Department of Infectious Disease Epidemiology at Imperial College London. His research bridges applied mathematics and epidemiology, focusing on developing models that inform public health decisions. He earned his Doctoral degree in Mathematical Biology from Imperial College London in 2009, with a dissertation titled Mathematical models for emerging infections in socially structured populations: the presence of households and other social structures II: Comparisons and implications for vaccination . Pellis's research interests include the development of novel deterministic and stochastic methods to model infection spread dynamics, particularly in human populations with complex social structures. He focuses on directly transmitted infections and the impact of co-infections on epidemiological and evolutionary outcomes. His work emphasizes multi-scale models integrating within-host and between-host processes, with applications to antimicrobial resistance, HIV-TB co-infections, and respiratory syncytial virus (RSV) transmission in Kenya. He also explores model comparison techniques to assess the utility of simple models in public health decision-making. His recent articles collectively explore mathematical modeling in infectious disease dynamics, with a focus on network-based approaches, multi-strain infections, and the integration of within-host and between-host processes. They highlight challenges in metapopulation and network models, as well as the evolutionary dynamics of HIV and TB co-infections. Sir Henry Dale Fellow , funded by the Wellcome Trust and Royal Society His grants include support for his Sir Henry Dale Fellowship, which funds research on co-infections and multi-scale models. He collaborates with Prof. Matt Keeling and Dr. Thomas House at Warwick and Prof. James Nokes on RSV studies in Kenya. His work also involves improving epidemic dynamics approximation methods on networks. He is affiliated with the applied Mathematics group at Manchester's School of Mathematics, the Zeeman Institute at Warwick, and the MRC Centre at Imperial College. His interdisciplinary collaborations span institutions and disciplines, including applied mathematics, epidemiology, and public health.

• Political Economy
• Public Policy
• Social Capital
• +5 more

Fabio Sabatini is a Full Professor of Political Economy at Sapienza University of Rome and a Research Fellow at the Institute of Labor Economics (IZA). His work focuses on the intersection of communication technologies, social capital, and political behavior. He teaches Political Economy and Economics of Sustainable Development, and actively engages in public discourse through Substack newsletters like The Civic Economist . His research explores how digital media shapes societal values, economic outcomes, and political preferences. Notable themes include the behavioral impacts of social media, the role of social capital in crises, and the geopolitical tensions between the US and EU under Trump's administration. Sabatini critiques policies that undermine academic freedom and democratic institutions, frequently analyzing authoritarian trends in global governance. He maintains an extensive publication record with over 50 papers in peer-reviewed journals, focusing on topics like terrorism radicalization, disaster politics, and digital economy effects. His work bridges theoretical frameworks with empirical analysis, often addressing contemporary policy challenges. Sabatini's academic networks include collaborations with institutions like the European Commission and IZA. His Substack articles and social media activity reflect a commitment to public engagement, translating complex economic concepts for broader audiences while critiquing populist policies and advocating for evidence-based governance.

Glenda CooperView profile

Academic

• Crisis and Humanitarian Reporting
• Journalism and Ethics
• Live Journalism
• +11 more

Dr Glenda Cooper is Reader in Journalism Studies and Head of the Department of Journalism at City St George's, University of London , where she leads a team of 25 staff, 50 visiting lecturers, and over 500 students from 53 countries. She holds a PhD in Journalism from City and an MA in English Language and Literature from Oxford, and has played a pivotal role in elevating the BA Journalism programme to 1st place nationally in the Guardian and Complete University Guide (2023), as well as 1st for Graduate Prospects (Sunday Times 2022). Education: MA in Academic Practice, City, University of London (2022) PhD in Journalism, City, University of London MA in Creative Writing, City, University of London BA (Hons) English Language and Literature, St Hilda's College, University of Oxford PG Diploma in Newspaper Journalism, City University of London Glenda's research focuses on crisis and humanitarian reporting , journalism ethics , live journalism , and the intersection of media and politics, particularly through the legacy of Alistair Cooke’s Letter from America . She has led major funded projects with the British Academy, ESRC, Google Digital News Initiative, and HEIF. Her current research explores AI’s impact on journalism through the DMINR project and innovative storytelling formats via the News on Stage initiative and the Contemporary Narratives Lab . Her recent publications span topics such as AI in newsrooms, humanitarian scandals (#AidToo), refugee representation, and digital narrative innovation. These works reflect a strong interdisciplinary trend, combining journalism studies with media technology, ethics, performance, and political communication. The articles indicate a growing focus on digital transformation, ethical challenges in sourcing, and the evolving role of journalists in public discourse. Scientific Awards and Recognition: Laurence Stern Fellow at the Post (2001) Guardian Research Fellow at Nuffield College, Oxford (2006–2007) AURORA Role Model for Future Women Leaders in Academia (2018) Glenda has supervised PhD students on topics ranging from political communication in Istanbul to the manosphere's influence on journalism. She has been instrumental in curriculum development, notably designing a core ethics module for final-year journalism students. She also serves as Reviews Editor for Journalism: Theory, Practice and Criticism , UK Director of the European Journalism Observatory, and Board Member of The Conversation UK . She co-founded and co-presented the Knowhow podcast, bridging academia and media. She co-directs the Contemporary Narratives Lab and co-founded the News on Stage project, which merges journalism with theatre through live events such as News Cabaret and News on the Street . Her play Aid Memoir , based on her PhD research, was performed at the Pleasance Theatre and featured in the ESRC Festival of Social Science.