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Laura S. StorchView profile

Assistant Professor

• Applied Mathematics
• Chaotic Dynamical Systems
• Critical Transitions
• +4 more

Laura S. Storch is an Assistant Professor of Mathematics at Bates College, specializing in theoretical ecology and applied mathematics. Her research focuses on spatial pattern change, ecological transitions, and population dynamics using topological data analysis. She holds a PhD in Applied Mathematics from the University of New Hampshire and has conducted postdoctoral research at William & Mary and Oregon State University. Laura collaborates with faculty at William & Mary to co-advise undergraduate summer research projects in mathematical ecology. Her work bridges mathematics and ecology, addressing critical transitions, pattern formation, and population sustainability in complex systems. Her research interests include chaotic dynamical systems, mathematical ecology, and topological methods for analyzing ecological systems. Laura emphasizes applied mathematics in understanding ecological phenomena such as oyster population dynamics in Florida estuaries and spatial gradients affecting species productivity. She is currently on leave for the fall 2025 semester. Though no scientific awards are explicitly mentioned, her contributions to theoretical ecology and interdisciplinary collaboration highlight her scholarly impact. Laura’s advising efforts reflect her commitment to mentoring students in mathematical research, particularly in ecology-related projects.

Stephanie RièsView profile

Associate Professor

• Cognitive Neuroscience
• Psycholinguistics
• Speech and Language Disorders
• +4 more

Stephanie Riès is an Associate Professor in the Department of Speech, Language, and Hearing Sciences at San Diego State University, where she directs the Laboratory for the Brain Dynamics of Language. Her research specializes in the cognitive neuroscience of human language, examining brain dynamics in language production, control processes, and neural reorganization following brain disorders. Education: BS in Biology from University of Rennes 1 MS in Cognitive Neuroscience from Aix-Marseille University MS in Cellular Biology and Animal Physiology from University of Rennes 1 PhD in Cognitive Neuroscience from Aix-Marseille University Her work integrates electrophysiology (EEG, EMG) and neuroimaging to study language production mechanisms and compensatory plasticity in conditions like stroke, epilepsy, and brain tumors. Key research areas include bilingual interference resolution, speech monitoring mechanisms, and neural reorganization patterns. Recent publications focus on neural hierarchies in speech production, neuroplasticity in language recovery, and advanced brain mapping techniques. Article analyses reveal strong emphasis on electrophysiological methods (sEEG, ERP), bilingual cognition, and clinical translation of neuroscience findings. Dr. Riès leads significant research initiatives through her laboratory, investigating brain-behavior relationships using intracranial recordings and developing novel approaches for speech activity detection across neurological populations.

Paul RuvoloView profile

Professor

• Machine Learning
• Robotics
• Computer Vision
• +3 more

Dr. Paul Ruvolo is a Professor of Computer Science at Olin College in Needham, MA. His research focuses on developing assistive technologies for people with sensory and motor impairments, leveraging machine learning, robotics, and computer vision. He holds a Ph.D. and M.S. in Computer Science and Engineering from the University of California San Diego, and a B.S. in Computer Science from Harvey Mudd College. Key research areas include creating systems that learn through imitation and experience, such as navigation aids for the visually impaired and educational tools for orientation and mobility. He leads projects like Co-Designing Assistive Apps with Students Who Are Blind, emphasizing participatory design. His work integrates Bayesian statistics, numerical optimization, and linear algebra to solve complex sensorimotor tasks. Education: Ph.D., Computer Science and Engineering, UC San Diego M.S., Computer Science and Engineering, UC San Diego B.S., Computer Science, Harvey Mudd College Awards: NSF IGERT Fellowship for 'Learning and Vision in Humans and Machines' Recent publications highlight innovations in AR navigation systems, smartphone-based SLAM for indoor environments, and educational tools for blind users. His work bridges computational methods with real-world accessibility challenges, emphasizing interdisciplinary collaboration and user-centric design. Dr. Ruvolo’s lab, linked at occam.olin.edu , focuses on assistive technologies. He actively contributes to Teach Access and other initiatives promoting inclusive technology education. His research has applications in robotics, healthcare, and educational technology.

Meredith HolgersonView profile

Assistant Professor

• Freshwater Ecology
• Ponds and Lakes
• Food Webs
• +5 more

Meredith Holgerson is an Assistant Professor in the Department of Ecology and Evolutionary Biology at Cornell University, affiliated with the College of Arts and Sciences. Her research focuses on freshwater ecology, particularly the biogeochemical and ecological dynamics of ponds, lakes, and wetlands. She holds a Ph.D. from Yale University, an M.S. from SUNY College of Environmental Science and Forestry, and a B.S. from Denison University. Her research investigates how freshwater ecosystems respond to environmental change, including studies on greenhouse gas emissions, food webs, and nutrient dynamics. Key areas include pond classification, the role of terrestrial inputs in food webs, and the impacts of urbanization on small waterbodies. Holgerson’s work combines field studies, experimental approaches, and remote sensing to scale local observations globally. She leads the Holgerson Lab at Cornell, which emphasizes collaborative projects and interdisciplinary approaches. Notable contributions include defining functional distinctions between ponds and lakes, quantifying methane emissions from small waterbodies, and understanding the ecological roles of amphibians in floodplains. Awards include the Raymond L. Lindeman Award (2016) for excellence in aquatic science research. Holgerson teaches courses in ecology, including Ph.D. dissertation research supervision and undergraduate research mentorship. She actively recruits graduate students and mentors undergraduates in freshwater science, with opportunities in both field and lab settings.

Sofia SantosView profile

Researcher

• Urban Mobility
• Social Inequality
• Spatial Planning
• +3 more

Sofia Santos is a Researcher at Iscte Business School , part of ISCTE - Lisbon University Institute. Her work focuses on urban mobility, sociospatial inequality, and cultural diversity. Research Interests: Urban mobility patterns and their sociodemographic determinants Transportation justice and equitable spatial planning Intersection of mobility, gender inequality, and environmental conditions Role of cultural diversity in metropolitan development Social capital dynamics in urbanizing regions Policy implementation challenges in fragmented governance systems Article Trends (2007–2020): Over 13 years, her research spans urban mobility (18/25 articles), sociospatial inequality (12/25), Lisbon metropolitan dynamics (10/25), and cultural diversity (6/25). Key methodologies include qualitative analysis, socioeconomic differentiation, and geospatial studies, with recent emphasis on policy consequences and transportation equity. Contact: Email execed@iscte-iul.pt for inquiries.

Johan HofkensView profile

Professor

• Microscopy development
• Advanced spectroscopy
• Optical spectroscopy of molecular materials
• +6 more

Johan Hofkens is a full Professor at KU Leuven since 2008, with a career spanning over 25 years in advanced spectroscopy and microscopy development. His work bridges chemistry, materials science, and nanobioscience, focusing on optical spectroscopy techniques and superresolution microscopy applications. Current research integrates fluorescence/SEM microscopy (integrated microscopies) Specializes in single molecule detection (SMS) and perovskite synthesis Applies NASCA microscopy and RESOLFT techniques for nanoscale imaging His publications (>400) and high citation counts (H-index 69) reflect significant contributions to molecular (bio)materials and metal cluster spectroscopy. Awards include: ERC Advanced Grant (2012) Proteomass Scientific Society Award (2016) European Academy of Science membership Prof. Hofkens collaborates internationally through guest professorships at University of Parma and Hokkaido University, and has pioneered innovations in single molecule detection techniques.

Eric WustrowView profile

Associate Professor

• Network Security
• Internet Censorship
• Cybersecurity
• +8 more

Eric Wustrow is an Associate Professor in the Department of Electrical, Computer & Energy Engineering at the University of Colorado Boulder , affiliated with the College of Engineering and Applied Science . His research focuses on network security, internet censorship, and cryptographic protocols. Contact: ewust@colorado.edu , Phone: 734-330-8702, Office: ECCR 1B13. Academic Rank: Associate Professor Department: Electrical, Computer & Energy Engineering University: University of Colorado Boulder Eric Wustrow's research explores methods to measure and circumvent internet censorship, analyze network vulnerabilities, and enhance privacy in digital communications. His work includes studying the Great Firewall of China, DNS and TLS security, and developing anticensorship tools like ShadowTLS and WATER. He also investigates cryptographic weaknesses in network devices and secure hardware implementations. Recent publications examine the effectiveness of anticensorship tools, the impact of IPv6 on information controls, and vulnerabilities in encrypted protocols. His studies include speculative execution attacks, DNS censorship measurement, and techniques to exploit transient errors in TLS for key compromise. These works highlight evolving network threats and countermeasures. Eric's research has been supported by grants such as the CAREER: Combating Censorship from within the Network (2022) and SaTC: CORE: Medium: Collaborative: Studying the Impact of IPv6 on Information Controls and Censorship Circumvention (2020). These projects focus on developing network-level solutions to censorship and security challenges.

Alex KontorovichView profile

Professor

• Automorphic Forms and Representations
• Homogeneous Dynamics
• Harmonic Analysis
• +5 more

Alex Kontorovich is a Distinguished Professor of Mathematics at Rutgers University, where he holds the academic rank of Professor. His primary affiliation is with the Department of Mathematics, School of Arts and Sciences. He currently serves as Managing Editor of the Journal of the Association for Mathematical Research and is Executive Director of Rutgers MathCorps . During the 2024-2025 academic year, he is on leave, visiting Princeton University and the Institute for Advanced Study (IAS). Kontorovich's research focuses on automorphic forms, homogeneous dynamics, harmonic analysis, and number theory, with interdisciplinary connections to data science and machine learning. His work bridges pure mathematics with computational aspects, including sphere packing geometry and arithmetic dynamics. He has held distinguished visiting roles, such as the 2020-21 Distinguished Visiting Professor for the Public Dissemination of Mathematics at the National Museum of Mathematics (MoMath), where he contributed to academic content and exhibits. His academic career includes teaching advanced courses like Graduate Complex Analysis, Automorphic Representations, and History of Mathematics. Notable awards include the Simons Foundation Fellowship, von Neumann Fellowship at IAS, and Alfred P. Sloan Research Fellowship. Grants include multiple NSF awards (regular, CAREER, FRG) and a Binational Science Foundation grant. His research explores topics like spectral gaps, thin groups, and applications of modular forms to equidistribution problems. Kontorovich’s scholarly contributions extend beyond academia: he serves on the Scientific Board of Quanta Magazine , advises the Lean Focused Research Organization , and participates in editorial and strategic roles across institutions. His work emphasizes the interplay between theoretical mathematics and computational methods, shaping modern research in number theory and dynamics.

• Algebraic Geometry
• Algebraic Topology
• Moduli Spaces
• +3 more

Dan Petersen is a Professor of Mathematics at Stockholm University, specializing in the intersection of algebraic geometry and algebraic topology with a focus on moduli spaces. His research explores topics such as cohomology theories, homological stability, and geometric structures. He has advised PhD students including Erik Lindell, Louis Hainaut, Josefien Kuijper, and Oliver Lindström. His work frequently intersects with geometric topology, number theory, and representation theory, as seen in his recent publications on handlebody groups, Mumford conjectures, and configuration spaces. Collaborations with postdocs such as Johan Alm, Marcel Rubió, and Sylvain Douteau highlight his involvement in advanced research networks. His contributions to algebraic structures and topological methods have advanced understanding in both pure and applied mathematics contexts.

• Computer Vision in Medical Imaging
• Machine Learning
• Medical Imaging Segmentation
• +3 more

Dr. Antonio Ortiz is a Researcher at the University of Bonn, affiliated with the Life and Medical Sciences Institute (LIMES) and the IRU Mathematics and Life Sciences group. He works under the supervision of Professors Alexander Effland and Jan Hasenauer. His research focuses on Computer Vision in Medical Imaging and Machine Learning applications. He holds a Ph.D. in Electric and Electronics Engineering from Cinvestav, Mexico (2023), a Master's in Computer Science from Cicese, Mexico (2019), and a Bachelor's in Mechatronic Engineering (2017). His research integrates Bayesian methods, deep learning, and optical flow techniques for cardiac MRI segmentation, visual-inertial SLAM systems, and 3D shape measurement. Recent work emphasizes adaptive algorithms for medical imaging and robotics applications. Publications span medical imaging, robotics, and materials science, with a focus on algorithmic innovation and interdisciplinary applications. No scientific awards are explicitly mentioned, but his work demonstrates strong academic contributions. His advising activities and grants are not detailed in the provided text. He collaborates within the Effland Lab and IRT Mathematics and Life Sciences team.

Rainer SpanagelView profile

Professor

• Addiction Research
• Neuropharmacology
• Translational Medicine
• +6 more

Prof. Dr. Rainer Spanagel serves as the Head of the Institute of Psychopharmacology at the Central Institute of Mental Health (ZI) within the Medical Faculty Mannheim of Heidelberg University. His research focuses on addiction neuroscience, particularly alcohol and drug dependence, with a strong emphasis on translational approaches bridging preclinical and clinical research. Key areas include comorbid psychiatric disorders (anxiety, depression, ADHD), neurobiological mechanisms of relapse, and the development of novel therapeutic interventions. Spanagel's work utilizes advanced methodologies such as transgenic animal models, neuroimaging (MRI/fMRI), and systems medicine approaches. He leads projects on epigenetic modulation (e.g., oxytocin in alcohol addiction), drug repurposing (psilocybin), and the impact of adverse childhood experiences on addictive behaviors. Major grants include EU NEURON, BMBF (AERIAL, Target-OXY), and DFG funding for systems medicine and single-cell sequencing studies. His research integrates genetic, environmental, and neurochemical factors to address addiction's biological underpinnings. Notable contributions include identifying hyperdopaminergic states in alcohol abstinence and the role of RasGRF2 in cocaine reward pathways. Current initiatives focus on precision medicine strategies for substance use disorders through multi-omics integration and behavioral monitoring. Key Research Themes: Translational addiction, neuropharmacology, comorbidity mechanisms, epigenetics. Collaborations: Pharmaceutical industry partnerships for preclinical drug trials, multi-institutional consortia (SysMedSUDs, TRR265). Facilities: 9.4T MRI for animal neuroimaging, in silico brain banks integrating single-cell omics data.

• Neurosciences
• Cognitive and computational psychology
• Biological psychology
• +3 more

Roni Maimon Mor is a Research Fellow at the Institute of Ophthalmology, University College London. Their work bridges neuroscience, cognitive psychology, and biomedical engineering, focusing on vision science, neural plasticity, and human-technology interaction. They investigate how sensory deprivation (e.g., congenital sight impairment) and interventions (e.g., gene therapy) reshape neural processes and perceptual abilities. Research interests include developmental vision, robotic prosthetics, and the cognitive embodiment of artificial limbs. Their studies explore how early life experiences influence motor learning and how neural systems adapt to sensory loss or technological augmentation. Mor’s interdisciplinary approach integrates neuroimaging (e.g., fMRI, EEG), behavioral experiments, and engineering solutions like gaze-tracking systems for pediatric diagnostics. Publications highlight advancements in gene therapy outcomes for retinal dystrophies, cortical plasticity in sensory-deprived populations, and neural correlates of prosthetic limb use. Their work contributes to clinical tools for vision assessment and theoretical models of body representation. No scientific awards explicitly listed. Research is supported by collaborations in ophthalmology, robotics, and cognitive science. Mor’s lab at UCL focuses on translating neural findings into therapeutic and assistive technologies.

• Sustainable Development
• Spatial Planning
• Climate Adaptation
• +4 more

Ina Horlings is a Professor at the Faculty of Spatial Sciences, University of Groningen, affiliated with the Urban and Regional Studies Institute. Her work focuses on sustainable development, spatial planning, and climate adaptation. She contributes to UN Sustainable Development Goals through her research on citizen engagement in urban green spaces, co-creation strategies, and transformative community practices. Her research explores intersections of environmental policy, urban planning, and social innovation. Notable topics include subnational climate leadership, stakeholder acceptance of floating developments, and resourceful resilience in communities. She has published extensively in peer-reviewed journals and books, with over 80 research outputs since 2015. Education: Ph.D. in Spatial Sciences (details not explicitly provided in text). Grants/Advising: Supervised 7 academic works and engaged in multiple funded projects addressing climate adaptation and urban sustainability. Horlings actively collaborates internationally, presenting at conferences and contributing to policy discussions. Her work emphasizes place-based approaches, cultural sustainability, and the role of leadership in driving environmental and social change.

Fulai JinView profile

Associate Professor

• 3D Genome Architecture
• Computational Biology
• Genomics
• +3 more

Fulai Jin, PhD, is an Associate Professor in the Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, with joint appointments in the Department of Population and Quantitative Health Sciences and the Department of Computer and Data Sciences. He is also Co-Leader of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. Dr. Jin holds a PhD in Molecular and Medical Pharmacology from UCLA and bachelor’s degrees in Biology and Computer Science from USTC. His postdoctoral training at the Ludwig Institute for Cancer Research focused on genomics and epigenetics. His research focuses on 3D genome architecture, computational tools for genomic data integration, and single-cell technologies applied to health and disease. Key areas include cancer, diabetes, and neurological disorders, with a focus on chromatin structure, enhancer function, and ancestry-related disease mechanisms. His lab develops low-input 3D genome mapping methods and employs CRISPR tools, scRNA-seq, and multi-omic integration. Research is funded by NIH grants. Dr. Jin seeks motivated students/postdocs with experimental or computational expertise. The lab’s work is detailed on their website, and publications are listed on PubMed.

• Seismology
• Earthquake Early Warning Systems
• Volcanology
• +3 more

Frédérick Massin is a researcher at ETH Zürich's Swiss Seismological Service (SED), specializing in seismology, earthquake early warning systems, and volcanic monitoring. He is affiliated with the Bedretto Underground Lab (BULGG) and contributes to global seismic research. His work focuses on developing advanced algorithms for rapid earthquake rupture characterization (e.g., FinDer), improving earthquake early warning (EEW) systems in regions like Central America and New Zealand, and analyzing seismic data to enhance disaster preparedness. Key research areas include: Earthquake Source Physics and Real-Time Modeling Seismic Data Center Innovation and Global Networks Volcanic Seismicity and Lahar Detection Socio-Technical Aspects of EEW Systems Recent projects involve assessing EEW impacts in Central America, improving seismic catalogues (FEAR-1), and investigating lake ice seismicity. He collaborates internationally on initiatives such as the Nepal School Seismology Network and Yellowstone volcano-tectonic studies.