Find Academic Supervisors

Deborah BeimView profile

Assistant Professor

• American Politics
• Law, Courts, and Politics
• Methodology (Game Theory)
• +3 more

Deborah Beim is an Assistant Professor in the Department of Political Science at the University of Michigan, affiliated with the College of Literature, Science, and the Arts (LSA). She previously taught at Yale University before joining Michigan. Her research focuses on American politics, judicial politics, and applied game theory, particularly examining interactions between the U.S. Supreme Court and Courts of Appeals. She holds an office in 7767 Haven Hall. Her research interests include judicial behavior, legal innovation, and the strategic dynamics within the U.S. court system. Key topics include Supreme Court policy agenda-setting, ideological influences on judicial decisions, and legal uniformity across federal courts. Methodologically, she employs game theory to model judicial interactions and decision-making processes. Beim’s work has been published in top journals like the American Journal of Political Science and Journal of Politics . Her recent articles analyze topics ranging from appellate court panel effects on death penalty outcomes to the signaling mechanisms in en banc review processes. Notably, she explores how legal actors like judges and lawyers strategically shape judicial outcomes through procedural and ideological tactics. While no scientific awards are explicitly listed, her extensive publication record reflects recognition in academic circles. She has no listed advisees, though her role as a faculty member suggests potential mentorship roles not detailed here. No grants or labs are mentioned in the provided materials.

• Mental Health
• Depression
• Psychological Dynamics
• +4 more

Omid V. Ebrahimi is a Career Development Research Fellow at the University of Oxford’s Department of Experimental Psychology, affiliated with Magdalen College. His research focuses on the development and maintenance of mental health disorders, particularly depression and anxiety, using systems-based and network analytical approaches. He leads the Oxford Emotional Disorder Genesis and Evolution (EDGE) Lab and the Critical Incidents and Psychological Adaptation (CIPA) study, tracking 20,000+ individuals over 15 years to explore societal crises’ impacts on mental health. His work during the pandemic examined social containment policies’ effects on mental health and identified strategies to mitigate harm. Education: PhD and DClinPsy qualifications from institutions including the University of Oslo (with time at the University of Amsterdam), UC Berkeley, and The University of Hong Kong. He emphasizes mentoring, receiving a mentorship award, and advocates for clear scientific communication, featured in over 70 media outlets. Research Interests: Critical incidents (e.g., pandemics, climate change), depressive symptom dynamics, network analysis, and systems-based mental health science. Collaborations span global institutions like Harvard University and the University of Iceland. Key Projects: The CIPA study investigates long-term mental health trajectories post-critical incidents. His work integrates biopsychosocial variables to identify prevention and treatment targets for depression/anxiety. Awards: Mentorship Award for his student supervision efforts. Active in policy discussions, emphasizing conference accessibility and structural equity barriers.

• Coastal Flooding
• Sea Level Rise
• Climate Change Impact
• +4 more

Professor Ivan Haigh is an Associate Professor in Ocean and Earth Science at the University of Southampton, UK. His research focuses on sea level variations, coastal flooding, and climate change impacts. He leads multiple international research projects, including the CHANCE project (NERC/NSF-funded) and Vietnam flood risk studies (NERC/NAFOSTED-funded), totaling £4.8M across 8 active grants. He is a Principal Investigator (PI) and Co-Investigator (Co-I) on projects addressing compound flooding, storm surge barriers, and coastal resilience. His work bridges academic research with practical coastal management, collaborating with agencies like the UK Environment Agency and Dutch Ministry of Infrastructure. Educated at the University of Southampton (BSc Oceanography/Maths, 1998-2001) and with a PhD (2005-2009) on sea level changes in the English Channel, Haigh held a postdoctoral fellowship at the University of Western Australia before returning to Southampton as a lecturer. Promoted to Associate Professor in 2016, he also leads the NERC-funded Knowledge Exchange Fellowship (2021), focusing on climate-resilient infrastructure. Teaching includes coordinating coastal processes modules at undergraduate and MSc levels, with a focus on stakeholder engagement. His external roles include keynote speaking at global conferences (e.g., 'All at Seas Conference' 2013) and membership in the Institute of Marine Engineering. Current PhD supervision spans 10 students across interdisciplinary topics like compound flooding and storm surge modeling. Research groups include the Physical Oceanography Institute and Southampton Marine and Maritime Institute. Notable projects include ACROSS (colonisation of Sahul via seafaring) and RISeR (sea-level change projections for northwest Europe). His work emphasizes translating scientific insights into actionable coastal management strategies, addressing both academic and societal challenges.

• Climate Change Ecology
• Plant-Plant Interactions
• Soil Ecology
• +3 more

Dr. Sara Tomiolo is an Assistant Professor in the Plant Ecology Group at the Institute of Evolution and Ecology, University of Tübingen, Germany. She holds a PhD in plant evolutionary ecology from Tübingen University (2013). Her research focuses on plant-plant and plant-soil biota interactions under climate change, drought, and microplastic contamination, using interdisciplinary methods including greenhouse and field experiments. She explores how abiotic stressors and biotic factors influence plant performance, community composition, and range shifts. Professional experience includes postdoctoral roles at Aarhus University (Denmark), Kent State University (USA), and Tübingen University. Her work emphasizes science communication and open science, reflecting her commitment to accessible research practices. She is affiliated with the Institute of Evolution and Ecology within the Faculty of Science, contributing to initiatives like the 'Bunte Wiese' project. Her research addresses critical global challenges such as climate-driven species migration and soil pollution impacts on ecosystems. Key research interests include drought effects on plant interactions, microplastic pollution consequences, and evolutionary responses to environmental stressors. Her publications span topics from niche partitioning under drought to modeling plant competition dynamics. While no awards are listed, her contributions to ecological theory and experimental methodologies are notable. She advises within the Plant Ecology Group and engages in collaborative projects across institutions. Dr. Tomiolo’s lab focuses on integrating field observations with controlled experiments to understand ecological processes at multiple scales. Her work bridges basic research with applied challenges, offering insights into biodiversity maintenance and ecosystem resilience under global change scenarios.

Mattias VillaniView profile

Professor

• Bayesian Statistics
• Machine Learning
• Computational Methods
• +3 more

Mattias Villani is Professor of Statistics at Stockholm University, specializing in Bayesian statistics and machine learning. He obtained his PhD in Statistics from Stockholm University in 2000 and has held positions at Sveriges Riksbank and Linköping University. Villani develops computationally efficient Bayesian methods for inference, prediction and decision-making with flexible probabilistic models. Research Interests: His work spans Bayesian computation (MCMC, HMC, variational inference), machine learning (Gaussian processes, mixture models), and applications in neuroimaging, transportation, and econometrics. Research focuses on scalable Bayesian methods for large datasets and complex models. Publication Focus: Recent articles concentrate on Bayesian neuroimaging analysis, transportation network modeling, and efficient MCMC algorithms. Methodological innovations in subsampling techniques for large-scale Bayesian computation represent a significant research trend. Student Advising: Supervises PhD students in statistical methodology development and applications. Current research groups focus on spatiotemporal modeling, locally stationary processes, and neuroimaging statistics.

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +5 more

Massimo Poesio is a Professor of Computational Linguistics at Queen Mary University of London and a full Professor of Natural Language Understanding at Utrecht University. He leads the ARCIDUCA project (EPSRC-funded) on conversational agents and the Dealing with Meaning Variation project (NWO-funded) exploring NLP applications. His research focuses on anaphora resolution, games-with-a-purpose, and applying NLP to combat deception and misinformation. He is a Fellow of the Alan Turing Institute and supervises students in PhD programs like IGGI and Health Data in Practice. Education: Previous affiliations include University of Essex and University of Trento (founded CLIC Lab). Research Projects: DALI (ERC), SENSEI (EU), AnaWiki (EPSRC), and LiveMemories (Provincia di Trento). His work combines formal semantics with empirical methods, including brain data and corpus analysis. He has developed tools like Phrase Detectives and BART for anaphora resolution, and co-founded the Lingotowns platform for language learning.

Martin ReaneyView profile

Professor

• Food Science
• Bioengineering
• Lipid Chemistry
• +3 more

Martin Reaney is a Professor and Ministry of Agriculture Strategic Research Program (SRP) Chair in Lipid Quality and Utilization at the University of Saskatchewan's Department of Food and Bioproduct Sciences, within the College of Agriculture and Bioresources. His research focuses on lipid chemistry, sustainable agriculture, and food technology, particularly in biodiesel production, flaxseed bioactives, and novel food products. Key research interests include optimizing lipid quality through refining techniques (e.g., electrostatic field processing, enzymatic degumming), developing functional food ingredients (e.g., aquafaba-based emulsifiers, flaxseed-derived peptides), and enhancing biofuel production. His work bridges agricultural innovation with industrial applications, emphasizing sustainability and nutritional value. Key Projects: Biodiesel optimization, flaxseed lignan extraction, cyanogenic glycoside removal in flaxseed through fermentation, and electrostatic refining of crude oils. Lab/Affiliations: SRP Chair in Lipid Quality & Utilization, affiliated with the University of Saskatchewan's Ministry of Agriculture initiatives. Contact: martin.reaney@usask.ca | 6E02 Agriculture Building. Publications span lipid processing, food safety, and nutraceutical development, with a focus on interdisciplinary approaches to address global food and energy challenges.

Kevin LangergraberView profile

Associate Professor

• Primate Behavior
• Conservation Biology
• Genetics
• +3 more

Dr. Kevin Langergraber is an Associate Professor at Arizona State University's School of Human Evolution and Social Change. His research focuses on primate behavior, conservation biology, and evolutionary anthropology, particularly through his leadership in the Ngogo Chimpanzee Project in Uganda's Kibale National Park. This long-term study examines chimpanzee social structures, health dynamics, and ecological interactions, with a strong emphasis on conservation strategies against poaching and disease transmission. Key research interests include genetic adaptation in primates, the impact of human activities on wildlife communities, and behavioral ecology across varying environmental conditions. He has pioneered methods combining genomic analysis, field observations, and machine learning to study ape behavior and biodiversity monitoring. His work integrates socioecological data with physiological measurements to understand aging patterns, reproductive strategies, and disease epidemiology in wild populations. Recent publications highlight advancements in wildlife conservation protocols, primate menopause studies, and innovative datasets for behavior recognition. Collaborations span global institutions to address challenges in primate conservation and evolutionary biology. Dr. Langergraber also engages in public outreach through documentaries and crowdfunding initiatives to fund anti-poaching patrols and support chimpanzee research.

Victor TsaiView profile

Professor

• Seismology
• Geomechanics
• Fluid-Solid Interactions
• +5 more

Victor Tsai is a Professor of Earth, Environmental, and Planetary Sciences at Brown University. He specializes in seismology, geomechanics, and theoretical glaciology, with a focus on earthquake mechanics, glacial dynamics, and wave propagation. His research bridges geophysical theory and observation, addressing topics like fault network complexity, subglacial hydrology, and seismic tomography. Tsai holds a PhD from Harvard University (2009) and has been recognized with awards including the NSF CAREER Award (2015) and the Charles F. Richter Award (2014). Education: PhD (Harvard, 2009), AM (Harvard, 2006), BS (Caltech, 2004) Affiliations: Brown University (since 2019), previously at Caltech (2011–2019) Research highlights include modeling earthquake source complexity, understanding high-frequency ground motion, and developing new seismic imaging techniques. His work on glacial earthquakes and meltwater pulses has advanced climate-ice interaction studies. Collaborations span seismology, glaciology, and planetary science.

Sally StaresView profile

Lecturer

• Survey methods
• Public opinion analysis
• Public perceptions of science & technology
• +3 more

Sally Stares is a social psychologist and faculty member in the Department of Methodology at the London School of Economics (LSE). She specializes in survey methods, public opinion analysis, and public perceptions of new technologies. After nine years as a lecturer/senior lecturer at City, University of London, she returned to LSE, where she previously earned her MSc in Social Research Methods and PhD in Social Psychology. Her research focuses on science-technology-society interactions, particularly public attitudes toward self-driving vehicles, automated journalism, and criminal justice standards. Methodologically, Dr. Stares is an expert in survey design, latent variable models, and cross-national analysis. She has contributed to EU-funded projects on diversity-aware technology, global civil society metrics, and poverty typologies in Scotland. As an editorial board member of Public Understanding of Science , she emphasizes bridging gaps between scientific communities and the public. Her recent work explores audience reactions to automated media content and cross-national variations in automated vehicle acceptance. Publications span transportation policy, biotechnology ethics, and criminology, with a focus on empirical social science methodologies. She has advised organizations including the Social Mobility Commission and Mo Ibrahim Foundation on research design and implementation. Labs/Teams: Active in LSE's methodological research groups and collaborates with interdisciplinary teams on technology ethics and public engagement initiatives.

Bjorn BirgissonView profile

Professor

• Civil Engineering
• Transportation Infrastructure
• Materials Science
• +3 more

Bjorn Birgisson is the Chair of the School of Environmental, Civil, Agricultural and Mechanical Engineering and holds the Georgia Power E-Mobility Distinguished Professorship at the University of Georgia. His research focuses on infrastructure resilience, pavement engineering, materials science, and novel construction technologies. He has pioneered work on asphalt mixture performance, autonomous vehicle impacts on roadways, and extraterrestrial construction materials using lunar regolith. His interdisciplinary approach integrates computational modeling, experimental testing, and environmental sustainability. Educational Background: Ph.D., P.E. credentials are highlighted but formal education details are not provided in the text. His professional appointments emphasize practical application of research to real-world infrastructure challenges. Research Interests include: Transportation infrastructure resilience to climate change Advanced material characterization for pavements Additive manufacturing for space exploration Non-destructive evaluation techniques His recent publications (2020-2025) address: Moisture variation in clayey soils Pavement crack initiation modeling Autonomous truck infrastructure impacts Lunar regolith utilization Scientific Awards: Georgia Power E-Mobility Distinguished Professorship recognizes his contributions to sustainable transportation infrastructure. Advising/Grants: While student names are not listed, his research teams focus on doctoral-level projects in geotechnical engineering and materials science. Grant activities likely include federal/state transportation initiatives and space exploration partnerships. Labs/Teams: Active in the Boyd Research and Education Center, collaborating with industry partners on pavement testing and additive manufacturing technologies.

Marco GiacaloneView profile

Research Professor

• Digitalisation of Legal Processes
• Private International Law
• Online Dispute Resolution (ODR)
• +4 more

Marco Giacalone is a Research Professor at the Private and Economic Law Department (PREC) of the Vrije Universiteit Brussel (VUB), where he also serves as Co-Director of the Research Group on Digitalisation and Access to Justice (DIKE). He holds adjunct professorships at VUB (2018-2019) and has been a postdoctoral researcher at the Brussels Research Institute on Development, Governance, and Empowerment. His work focuses on the intersection of digital technologies and legal processes, particularly in Private International Law, ODR, and ADR. **Education**: PhD in Law (Doctor Europaeus, 2016) from VUB and University of Naples Federico II, specializing in Dispute Resolution and emerging IT realities. **Research Interests**: Digital transformation of legal systems, blockchain applications in justice, AI-driven conflict resolution, cross-border dispute mechanisms, and equitable algorithmic systems. His projects include EU-funded initiatives like CREA3 (Equitative Algorithms) and IDEA (Access to Justice tools). **Grants & Projects**: Over 10 projects funded by the EU, including EU683 (Equitative Algorithms), EU681 (IDEA), and EU676 (Digitalising Small Claims). Active in consortiums like IPSU 2022 (Digital Ius Knowledge Empowerment) and OZR4193 (VUB-UNIPARTHENOPE PhD collaboration). **Awards**: 2019 Best Paper Award and Marie Skłodowska-Curie Fellowship (2020). Extensive speaking engagements on topics like AI in judiciary, blockchain legal frameworks, and digital justice. **Labs/Teams**: Leads the DIKE Research Group and collaborates with the Brussels Research Institute. Involved in developing tools like Prodigit (digital tax justice) and CREA’s cloud-based decision support systems.

Frank Van OverwalleView profile

Professor

• Social Neuroscience
• Cerebellum Research
• Social Cognition
• +3 more

Frank Van Overwalle is a Professor of Psychology at Brussels University, affiliated with the Consultation Center Brain, Body and Cognition. His research focuses on Social Connectionism and Social Neuroscience, particularly the neural mechanisms underlying social cognition, mentalizing, and cerebellar contributions to social and cognitive processes. He has led over 40 research projects and published 214 peer-reviewed articles, including works on cerebellar sequencing, mentalizing, and neuroimaging techniques. His research highlights the cerebellum's role in social action prediction, implicit learning, and emotional processing. Notable projects include investigations into cerebellar tDCS effects on social cognition and collaborations on the neural basis of group stereotypes and Theory of Mind. Van Overwalle received the Tobie Jonckheere Award in 1989 for his doctoral work on educational psychology. He has participated in numerous conferences and serves on the boards of the Cognitive Neuroscience Society and Organization for Human Brain Mapping. His work bridges cognitive models with empirical neuroimaging data, emphasizing cerebellar contributions to higher-order social functions.

Anirban ChakrabortiView profile

Professor

• Econophysics
• Sociophysics
• Complex Systems
• +14 more

Anirban Chakraborti is a Professor at the School of Computational and Integrative Sciences, Jawaharlal Nehru University (JNU), New Delhi, India, where he has been a faculty member since 2014. He previously held academic positions at École Centrale Paris (France) as Chercheur Senior (Associate Professor) and Chargé de Recherche (Assistant Professor), and earlier roles at Banaras Hindu University, Brookhaven National Laboratory (USA), and Helsinki University of Technology (Finland). He is a leading figure in the interdisciplinary field of econophysics and complex systems. Education: Diplôme d’Habilitation à Diriger des Recherches (2013), Université Pierre et Marie Curie – Paris VI, France (Physics) Ph.D. in Physics (2003), Saha Institute of Nuclear Physics, Jadavpur University, India Post-M.Sc. in Physics (1999), Saha Institute of Nuclear Physics, Jadavpur University, India (Ranked First) M.Sc. in Physics (1998), University of Calcutta, India (Ranked First) B.Sc. in Physics (1996), Scottish Church College, University of Calcutta, India His research interests lie at the intersection of physics, economics, and data science. He is particularly known for pioneering work in econophysics , including the statistical mechanics of money, wealth distribution, agent-based market models, and network-based analysis of financial and social systems. He also works on complex systems , computational finance , statistical physics , and nanosciences , with applications in sensing and imaging. His work often involves modeling socio-economic phenomena using tools from statistical physics. His recent publications span topics such as financial fluctuations, wealth inequality, network analysis of conflicts, order book dynamics, and nanomaterial characterization. These works reflect a strong trend toward interdisciplinary research combining physics, economics, and data analytics, with a focus on real-world applications in finance, inequality, and social systems. Scientific Awards: Indian National Science Academy Young Scientist Medal (2009) He has advised Ph.D. students such as Kiran Sharma and leads the ETC (Experimental-Theoretical-Computational) Lab at JNU, which brings together physicists, computer scientists, and mathematicians. The lab has been involved in international collaborations, including projects funded by the Estonian Ministry of Education and Research and consultancies with TCS Innovation Labs and DONO Consulting. His research has been supported through grants and collaborative projects, reflecting strong industry and global academic engagement.

• Stochastic Analysis
• Constructive Quantum Field Theory
• Statistical Mechanics of Multiscale Systems
• +9 more

Professor Massimiliano Gubinelli is the Wallis Professor of Mathematics at the University of Oxford and a Professorial Fellow at St. Anne's College. He leads the Stochastic Analysis Group within the Mathematical Institute, where his research focuses on stochastic analysis, constructive quantum field theory, and the intersection of probability theory with partial differential equations (PDEs) and renormalization group methods. His work spans statistical mechanics of multiscale systems, analysis of PDEs with random terms, homogenisation theory, mathematical quantum mechanics, path-integral formalisms, and non-commutative probability/geometry. He has pioneered paracontrolled distribution techniques to study singular stochastic PDEs and explored rough paths in ramification and transport equations. Recent publications highlight advancements in the sine-Gordon model via stochastic quantization, nonlinear PDEs with modulated dispersion, and ρ-irregularity in stochastic systems. His research bridges stochastic analysis, quantum field theory, and PDEs, emphasizing pathwise behavior and renormalization. Scientific Awards Junior member of the Institut Universitaire de France (2013–2018) Invited session speaker at the 2018 International Congress of Mathematicians (ICM) in Rio He contributes to scientific software development as a lead developer of TeXmacs , an open-source platform for technical documents, and teaches courses such as C8.1 Stochastic Differential Equations (MT22). No formal student advisement or grant details are provided.