Find Academic Supervisors

• Chromatin Dynamics
• Nuclear Organization
• Cellular Biophysics
• +3 more

Ivan Surovtsev is a Research Scientist in the Department of Cell Biology at Yale School of Medicine. His research focuses on understanding chromatin dynamics, nuclear organization, and the biophysical properties of cellular components, particularly in bacterial systems. Key areas include loop extrusion mechanisms, nuclear stiffness regulation, and the interplay between metabolic activity and cytoplasmic fluidity. Research Interests: Dr. Surovtsev investigates how chromatin architecture influences gene regulation and nuclear mechanics. Recent work explores ESCRT-mediated nuclear integrity, cohesin-driven loop formation, and phase separation effects in bacterial cytoplasm. His studies bridge molecular mechanisms with large-scale cellular organization. Recent Themes: Articles highlight advanced microscopy techniques and computational models to study chromatin dynamics. Notable findings include roles for dynamin-like proteins in autophagy, cohesin distribution predicting chromatin topology, and metabolic control of cytoplasmic rheology. Labs/Teams: Active member of the LusKing Lab, collaborating with leaders like Megan King and Corey O'Hern. Research spans interdisciplinary teams in cell biology, biophysics, and computational modeling.

• Family demography
• Social stratification
• Epidemiology
• +4 more

Torkild Hovde Lyngstad is a Professor of Sociology at the University of Oslo, Norway, specializing in family demography, social stratification, and social science genetics. He holds a PhD in demography (2007) and has been a permanent faculty member since 2011. Academic affiliations: University of Oslo (2012-present), European University Institute (2022), University of California-Berkeley (2018-2019), Université-Paris (2011), IIASA (2010), Max Planck Institute (2007), Vienna Institute (2005-2006) His research spans interdisciplinary topics at the intersection of sociology, demography, and genetics, with over 40 peer-reviewed publications. Key areas include: Family dynamics and union dissolution Genetic and environmental influences on education Epidemiological studies of social outcomes Fertility patterns and sibling effects Recent publications show strong emphasis on genetic associations with social phenomena and longitudinal demographic analysis. His work utilizes large-scale datasets and advanced statistical methods. Scientific awards include: ERC Consolidator Grant (2018-2023) Fulbright Fellowship (2018-2019) VAM Mobility Fellowship (2018-2019) Demographer of the Year (2010) He supervises doctoral students and reviews doctoral work internationally, while serving on the Holberg Prize board and assessing funding applications for major agencies.

Clara MulderView profile

Professor

• Residential mobility
• Family migration
• Life course
• +3 more

Prof. Clara Mulder is a Professor of Demography at the University of Groningen's Faculty of Spatial Sciences, leading the Department of Demography and the Population Research Centre. She holds notable academic roles including ERC Advanced Grant recipient (FamilyTies project), KNAW Member, and editorial positions in top journals like Environment and Planning A . Her career spans over 20 years with prior professorships at the University of Amsterdam (2001-2011) and Utrecht University (2000-2001). Education: PhD in Demography from University of Amsterdam (1993), thesis: 'Migration dynamics: A life course approach.' Her research focuses on residential mobility, family migration, intergenerational relationships, and housing dynamics. Key projects include analyzing cross-country homeownership patterns and family ties' spatial impacts. Recent work emphasizes ethnic differences in migration timing and post-separation mobility. Awards: ERC Advanced Grant (2017), NWO VICI Grant (2004), Aspasia Grant (2000). She advises graduate programs as former Director of the Graduate School of Spatial Sciences (2014) and chairs academic committees. Active in international demographics through roles like IUSSP Working Group on Lifetime Migration and editorial boards for Housing Studies and European Journal of Population . Research outputs include over 50 peer-reviewed articles, with recent emphasis on family mobility dynamics and intergenerational housing linkages.

• Constitutional Law
• Judicial Politics
• Law and Technology
• +3 more

Dr. Zhiyu Li is an Associate Professor in Law and Policy at Durham Law School, Durham University. She holds affiliations as a Department Representative and Fellow of the Durham Research Methods Centre. Her academic background includes undergraduate degrees in law and economics from East China University of Political Science and Law, and a doctorate in jurisprudential science from the University of California, Berkeley. Her research focuses on constitutional law, judicial politics, technology law, algorithmic justice, and Chinese law and society. She employs both qualitative and quantitative methods, including doctrinal analysis, surveys, experiments, and machine learning. Her work explores the intersection of law, technology, and politics, with notable contributions to journals like the Harvard International Law Journal and Artificial Intelligence and Law . Dr. Li has been cited in major handbooks such as the Oxford Handbook of Comparative Judicial Behaviour and has delivered talks at prestigious forums like the Stanford International Junior Faculty Forum. Her esteem indicators include selection as a Hauser Post-Doctoral Global Fellow at NYU School of Law and fellowships from the Royal Society of Arts and the Higher Education Academy. Her supervision spans seven students, reflecting her commitment to mentoring in legal scholarship. She has held visiting positions at institutions including Boston College, the University of Michigan, and the National University of Singapore, and has lectured globally in Brazil, Germany, and the U.S. Her research projects are supported through initiatives like the Durham Research Project Leadership Programme.

Julien TailleurView profile

Associate Professor

• Active Matter
• Non-equilibrium Statistical Mechanics
• Biophysics
• +3 more

Julien Tailleur is an Associate Professor of Physics at MIT's Physics Department. He joined MIT in July 2022, following roles at CNRS and Université Paris Diderot (2011–2022), where he was a CNRS Director of Research since 2018. His research focuses on active matter and non-equilibrium statistical mechanics, particularly the emergent behaviors of active systems like phase separation and collective motion. Tailleur's work bridges theoretical frameworks with biological applications, such as microbial ecosystems and cellular systems. Education: B.Sc. in Mathematics (Université Pierre et Marie Curie), B.Sc. in Physics (Université d'Orsay, Paris), Ph.D. in Physics (UPMC, 2007) under Jorge Kurchan. Postdoctoral fellowship at the University of Edinburgh (EPSRC-funded) with Michael Cates and Martin Evans. Research Interests: Active matter, motility-induced phase separation, non-equilibrium systems, biophysical applications. Key contributions include discovering how active systems phase-separate without attraction and analyzing their mechanical properties and collective motion. Awards: Tel Aviv University Prize in Biophysics (2025) Journal of Physics A Emerging Talent (2017) EPSRC Postdoctoral Fellowship (2010) Journal of Physics A Best Paper Prize (2009) JSTAT Prize for Young Scientists (2007) Labs/Teams: Active Matter Theory Group at MIT, affiliated with MIT Biophysics.

Johanna BeckmannView profile

Research Fellow

• Climate Change
• Polar Regions
• Antarctic Ice Sheet Dynamics
• +3 more

Dr. Johanna Beckmann is a Research Fellow at the School of Earth Atmosphere and Environment, Monash University. Her work focuses on climate change impacts on polar regions, particularly the Greenland and Antarctic ice sheets. She holds a Ph.D. from the Potsdam Institute for Climate Impact Research (2014-2018), where she developed numerical models to study submarine plume melting effects on ice sheets. Postdoctoral research (2019-2022) under Prof. Ricarda Winkelmann investigated extreme melt events and ice dynamics using the PISM model. Currently, she collaborates with Felicity McCormack and Andrew Mackintosh at Monash to analyze Antarctic ice sheet responses to climate variability, employing the ISSM model. Research Interests : Detection and attribution of ice mass loss (climate change vs natural variability), climate variability in the Southern Ocean, ice sheet modeling (PISM, ISSM, MAR), and sea level rise projections. Her work bridges regional climate modeling with ice dynamics to understand feedback mechanisms. Recent Trends in Publications : Focus on extreme melt events, coupled model applications (MAR-PISM), and Antarctic/Greenland ice sheet stability under warming scenarios. Key themes include feedback loop mitigation, natural vs anthropogenic drivers, and long-term projections to 2200. Advising & Grants : Supervising Honours students exploring Southern Ocean variability impacts. No grants explicitly mentioned in text. Labs/Teams : Part of Monash's ice dynamics team using advanced numerical models to study polar systems, including collaborations with international researchers.

Jordan A. GoodmanView profile

Professor

• Particle Astrophysics
• High Energy Physics
• Astrophysics
• +3 more

Jordan A. Goodman is a Distinguished University Professor in the Department of Physics at the University of Maryland. He previously served as Chair of the University Senate and former Chair of the Physics Department. His research focuses on Particle Astrophysics, studying cosmic radiation to understand elementary particles and space processes. He leads the HAWC Gamma Ray Observatory as Principal Investigator and former US spokesperson. His work includes detecting TeV gamma rays from galactic sources like SS 433 and exploring cosmic ray origins through HAWC data. Dr. Goodman has received numerous awards including the 2017 Yodh Prize, 2016 Breakthrough Prize in Fundamental Physics, and teaching honors like the UMCP Distinguished Scholar-Teacher Award. His research spans cosmic ray composition, TeV halo studies around pulsars, and multimessenger astronomy with HAWC and IceCube collaborations. He has advised on projects like SWGO, a next-generation gamma-ray observatory. Key contributions include discovering gamma-ray emission from the quiescent sun and analyzing blazar spectral evolution. His lab focuses on advancing gamma-ray detection techniques using machine learning and improving gamma/hadron separation methods.

• Fertility behavior
• Economic uncertainty
• Family dynamics
• +6 more

Chiara Ludovica Comolli is an Affiliate Researcher at Stockholm University's Department of Sociology, within the Demography Department, and part-time researcher at the University of Lausanne's Institute of Social Sciences. She holds a PhD in Political and Social Sciences from the European University Institute (2016). Her research focuses on fertility behavior in developed countries, particularly how economic and financial uncertainty influences childbearing decisions. Key areas include family dynamics, inequality, wellbeing, and quantitative methods. She leads projects on Europe's fertility decline, pandemic impacts on fertility, and life course event concentration's effects on later-life wellbeing. Collaborations include work on Switzerland's later-life wellbeing through life course events. Education: BA/MSc in Economic and Social Sciences (Bocconi University, Milan) Current Projects: Nordic fertility trends, pandemic fertility behavior, and life course event analysis Research Highlights: Her work bridges macroeconomic conditions and micro-level fertility decisions, emphasizing recession effects (Great Recession/Covid-19) and policy implications. Recent articles explore partisan fertility responses, mortality risks post-widowhood, and gender equity in childcare labor. Affiliations: Stockholm University Demography Unit (SUDA), University of Lausanne, and involvement in the Swiss Household Panel data analysis.

Juho HärkönenView profile

Professor

• Social Inequalities
• Demography
• Sociological Demography
• +3 more

Juho Härkönen is a Professor of Sociology at Stockholm University (on leave since February 2018) and concurrently holds the same title at the European University Institute. His research focuses on social inequalities, family dynamics, and demographic factors influencing socioeconomic outcomes. He specializes in studying divorce, labor market attachment, and health disparities across generations. Dr. Härkönen earned his Ph.D. from the European University Institute. He is affiliated with Stockholm University Demography Unit (SUDA), leading projects on inequalities in early health and socioeconomic differences in family change. His editorial role includes co-editing Advances in Life Course Research since 2017. His teaching includes advanced demographic methods, family sociology, and event history analysis. Current research is funded by the Academy of Finland and Norface, focusing on topics like immigrant integration and health inequalities. He collaborates on initiatives like TITA and FamiliesAndSocieties, addressing population dynamics and policy implications. Key projects include analyzing labor market poverty, cross-national family dissolution trends, and the impact of parental education on child outcomes. His work bridges demographic and sociological methodologies, emphasizing life course perspectives and policy relevance.

• Nanomaterials Synthesis
• Toxins Detection
• Raman Spectroscopy
• +7 more

Dr. Ioana Andreea Brezestean is a Scientific Researcher III (R2 rank) at the National Institute for Research and Development in Isotopic and Molecular Technologies (Cluj-Napoca, Romania). She holds a PhD in Physics (2022) and Master's degrees in Medical Physics (2013, 2015) from Babeș-Bolyai University . Her work focuses on nanomaterial synthesis , SERS substrate development , and environmental/health monitoring through advanced spectroscopic techniques. Current projects include NanedisSERS (bioinspired 3D nanoplatforms for neurodegenerative disease diagnostics) and AL-DIBI SERS (Alzheimer's biomarker detection using gold nanourchins). Her expertise spans nanoparticle fabrication (silver/gold), microfluidic sensor design , and multi-modal characterization (Raman, FT-Raman, SERS, TERS, microscopy). She contributes to eco-friendly nanocomposite development in projects like ECONANO4AUTO (bio-PA materials with chicken feather derivatives). Key collaborations include SINTEF AS (Norway), University of Medicine and Pharmacy 'Iuliu Hațieganu' , and NANOM MEMS SRL . Her methodology integrates DFT calculations , quantum chemistry modeling , and statistical pattern recognition for pathogen resistance analysis.

• Digital Image Processing
• Mathematical Image Analysis
• Computer Vision
• +2 more

Dr. Antonio Buades Capó is a Professor in Applied Mathematics at the University of the Balearic Islands (UIB), specializing in digital image processing and computer vision. He actively contributes to the Mathematical Image Processing and Analysis research group. PhD in Mathematics (2006) from UIB Research focuses on image/video restoration , stereo vision , and medical imaging Coordinator of national project TIN2011-27539 His 2016 publications demonstrate expertise in variational models for pansharpening, directional filtering techniques, and optical flow-based video processing. Key subfields include 3D reconstruction, texture decomposition, and visual perception algorithms. Scientific Recognition Recipient of prestigious Longuet-Higgins Prize (2015) Currently accepting PhD candidates in 3D and video processing, with tutoring available by appointment at the Anselm Turmeda building.

• Artificial Intelligence
• Explainable AI
• Computer Vision
• +4 more

Antoni Jaume-i-Capó is a Professor at the Department of Mathematical Sciences and Computer Science (DMI) at the University of the Balearic Islands (UIB) since 2005. He directs the Artificial Intelligence Applications Laboratory (LAIA@UIB) and participates in the Computer Graphics, Vision, and Artificial Intelligence Unit (UGiVIA) under the Health Sciences Research Institute (IUNICS). His educational innovation work is associated with the Educational Research and Innovation Institute (IRIE). Current affiliations: University of the Balearic Islands (UIB) Research leadership: LAIA@UIB, UGiVIA, IUNICS Research Interests: His work focuses on Artificial Intelligence , particularly explainable AI (XAI) systems, Computer Vision , Vision-Based Interfaces , Human-Based Computing , Intelligent Systems for Motor Rehabilitation , and Medical Image Processing . He combines these areas to develop technologies for healthcare diagnostics, rehabilitation, and educational innovation. Recent Article Trends: His publications address sickle cell disease diagnosis through machine learning, XAI fidelity metrics , medical imaging techniques, and vision-based rehabilitation systems. Common themes include human-AI collaboration , medical diagnostics , and educational gamification . Scientific Awards Premio al mejor trabajo JENUI 2010 (Best Paper Award at JENUI 2010) Grants & Projects EXPLAINME (PID2023-149079OB-I00, 2024-2028) People4sicklemia II (OCDS-CUD2017/05, 2017-2018) EXPLAINING (PID2019-104829RA-I00, 2020-2024) European projects: HUMODAN, NEUBIAS, LUDI, EUGAIN Supervision Advised students: Ines Abdennaji, Grethel Coello Said, Natasa Petrovic, et al. Labs & Collaborations LAIA@UIB (Artificial Intelligence Applications Lab) Collaborations: Computer Vision Center (UAB), University of Florida, Rutgers University, Wrexham Glyndwr University

Irene AndreuView profile

Assistant Professor

• Magnetic nanoparticles
• Biomaterials
• Nanoparticle assisted drug delivery
• +3 more

Irene Andreu is an Assistant Professor in the Department of Chemical, Biomolecular, and Materials Engineering at the University of Rhode Island's College of Engineering. Her research focuses on magnetic nanoparticles, biomaterials, nanoparticle-assisted drug delivery, and nanomaterial safety, with applications in biomedical systems and environmental monitoring. Ph.D. in Physics, Universidad de Zaragoza (2015) M.S. in Physics and Physical Technology, Universidad de Zaragoza (2011) Licentiate in Physics (Condensed Matter concentration), Universidad de Zaragoza (2010) Her research explores nanoparticle synthesis, functionalization, and environmental interactions. Key projects include developing magnetic nanoparticle-based drug delivery systems, investigating nanoparticle safety in workplaces, and utilizing nanomaterials for Martian water reuse and biofilm mitigation via NSF-funded grants. Recent publications highlight her work on porous microspheres for antigen delivery, plasmon-tuned particles for Raman spectroscopy, and environmental fate of nanomaterials. Collaborations span virology, polymer chemistry, and environmental toxicology. She has received grants including the Rhode Island Space Grant (2023) and NSF ERI funding (2023) for magnetic nanoparticle applications. Her expertise bridges materials engineering, nanotechnology, and biomedical solutions.

Anja EichlerView profile

Researcher

• Ice Core Chemistry
• Atmospheric Pollution
• Climate Reconstruction
• +3 more

Dr. Anja Eichler serves as a Scientist at the Paul Scherrer Institute (PSI) in Switzerland, working within the Analytical Chemistry Group of the Laboratory of Atmospheric Chemistry under the Center for Energy and Environmental Sciences. She has held this staff scientist position since 2008, specializing in ice core analysis for climate and pollution reconstruction. Her educational background includes: Chemistry studies in Dresden and Darmstadt, Germany, earning a degree in analytical and physical chemistry from Technical University Darmstadt with thesis on "Investigation of Iron gall ink using TXRF and SEM" PhD from University of Bern (2000) on "Deposition of trace species in firn and ice of alpine glaciers" Eichler's research centers on chemical trace species analysis in ice cores, employing advanced techniques like IC, ICP-OES, ICP-MS, and WS-CRDS to measure major ions, trace elements, and water isotopes. She develops novel analytical methods and applies statistical tools to reconstruct historical climate patterns and atmospheric pollution in mid- and low-latitude regions, placing contemporary environmental changes in long-term context. Her work bridges analytical chemistry with paleoclimatology and environmental history. Her publication record (2009-2019) reveals consistent focus on ice core chemistry, with emphasis on meltwater effects on pollutant records, historical emissions from metallurgy and industrialization, and climate-pollution interactions. Key themes include heavy metal pollution tracking (Pb, Hg, Cu), snowpack chemical processes, and Siberian/Andean environmental histories, demonstrating methodological innovation in ice core interpretation. Scientific recognition includes: Marie-Heim Vögtlin fellowship from Swiss National Science Foundation for postdoctoral research on Siberian Altai climate and pollution history As a staff scientist at PSI, Eichler contributes to institutional research projects through her analytical expertise, supporting both internal initiatives and external collaborations in environmental chemistry. Her work provides critical data for understanding anthropogenic impacts on atmospheric composition. She operates within PSI's Laboratory of Atmospheric Chemistry, which maintains specialized facilities for ice core processing and chemical analysis. The Analytical Chemistry Group provides essential services for environmental research projects while advancing methodological standards for ice core studies.

• Collective Intelligence
• Collaboration & Group Processes
• Network Analysis
• +2 more

Nikolas Zöller is a research scientist at the Max Planck Institute for Human Development 's Adaptive Rationality department. His work focuses on collective intelligence, human-AI collaboration, and computational modeling of social systems. He combines methods from physics, computer science, and psychology to study decision-making processes in both natural and artificial collectives. Ph.D. candidate at Constructor University Bremen (2020-2024) Research Associate at Potsdam University of Applied Sciences (2015-2022) Master of Science in Physics from Freie Universität Berlin (2014) Bachelor of Science in Physics from Freie Universität Berlin (2010) His research spans: Collective intelligence frameworks Human-AI collaborative diagnostics Agent-based modeling of social networks Technological co-diffusion patterns Thermodynamic optimization in physical systems Recent publications highlight his work on: Diagnostic accuracy in human-AI collectives GitHub collaboration topology Affect control theory in group dynamics Co-diffusion of complementary technologies Scientific recognition includes: European Press Prize (2022) as part of a team Springer Best Masters Award (2014)