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Jeffrey J. HardenView profile

Professor

• American Politics
• Political Methodology
• Legislative Institutions
• +5 more

Jeffrey J. Harden is the Andrew J. McKenna Family College Professor in the Department of Political Science and Concurrent Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. He is also a Faculty Affiliate of the Lucy Family Institute for Data & Society. His research focuses on American politics, including legislative institutions, political representation, public policy diffusion, and state politics, alongside methodological work on network inference and statistical analysis communication. Dr. Harden co-directs the Representation and Politics in Legislatures Lab and serves as co-editor of Legislative Studies Quarterly and Cambridge Studies in American Legislatures . His recent work explores topics such as policy diffusion during crises, legislative behavior under pandemic conditions, and the impact of social media on political communication. His research emphasizes quantitative methodologies, including R package development for statistical modeling (e.g., coxed and modeLLtest ). Publications highlight interdisciplinary approaches, combining political theory with computational methods. His work often addresses pressing issues like electoral integrity, pandemic governance, and elite influence on democracy. Dr. Harden’s contributions bridge empirical analysis and policy relevance, shaping debates on legislative dynamics and methodological best practices.

Matt JacksonView profile

Professor

• Geochemistry
• Petrology
• Mantle Dynamics
• +3 more

Matthew G. Jackson is a Professor in the Department of Earth Science at UC Santa Barbara. His research focuses on the long-term geochemical evolution of the Earth, particularly the connections between the Earth's surface and deep mantle. He investigates how subducted oceanic lithosphere is recycled back into the mantle and sampled at oceanic hotspots. Jackson leads a lab exploring the origins of mantle heterogeneity, with a focus on isotopic tracers (e.g., Sr, Nd, He, W) and their implications for mantle dynamics. His work bridges geochemistry with seismology and geodynamics, aiming to constrain the mantle's compositional structure. Affiliations: UC Santa Barbara, Earth Science Department Education: Ph.D. in Geochemistry/Petrology (not explicitly listed in text) Research interests include the fate of subducted materials, early Earth evolution, and the geochemical signatures of recycled crust in hotspot lavas. Jackson collaborates widely, integrating data from fieldwork, geochemical analyses, and computational modeling. His lab has identified ancient geochemical reservoirs in mantle plumes, such as the Samoan and Icelandic plumes, linking them to the Earth's earliest crustal processes. Key projects include studying the Samoan plume's interaction with the Tonga trench, the geochemical structure of mantle plumes using machine learning, and the role of recycled sediments in mantle heterogeneity. His work has been featured in Nature , Science , and PNAS , with over 150 publications. Jackson advises graduate students and collaborates internationally, contributing to expeditions like the NOAA Okeanos Explorer mission to American Samoa. Grants include NSF funding totaling over $8 million, supporting research on mantle plumes, subduction zones, and isotopic tracers. His outreach includes educational initiatives in Samoa and the Cook Islands, engaging local communities in volcanic and geochemical studies.

Berna HascakirView profile

Professor

• Enhanced Oil Recovery
• Flow Assurance
• Oil Field Water Management
• +2 more

Dr. Berna Hascakir is a Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University's College of Engineering. She holds the Flotek Industries, Inc. Career Development Professorship and has secured over $3 million in research funding. Her expertise includes enhanced oil recovery and flow assurance, with extensive publication record. Education: PhD in Petroleum and Natural Gas Engineering (Middle East Technical University, 2008), MS in Environmental Technology (Dokuz Eylul University), BS in Environmental Engineering (Dokuz Eylul University). Research Interests: Focuses on thermal EOR methods including in-situ combustion and steam-assisted gravity drainage. Additional work in reservoir fluid characterization and produced water management. Diagnostic methods include advanced spectroscopy and microscopy techniques. Publication Trends: Articles demonstrate strong focus on experimental and computational methods for reservoir engineering, with recent work expanding into machine learning applications for tool condition monitoring and structural analysis. Awards: Distinguished Member, Society of Petroleum Engineers (2018) ADVANCE Administrative Fellow (2021-2022) Innovative Teaching Award, SPE (2015)

Vladimir BravermanView profile

Professor

• Efficient Sublinear Algorithms
• Data Science
• Machine Learning
• +7 more

Vladimir Braverman is a Professor of Computer Science at Johns Hopkins University and an Adjunct Professor at Rice University. He holds secondary appointments in the Department of Applied Mathematics and Statistics at Johns Hopkins. His research focuses on sublinear algorithms, machine learning applications in healthcare and genomics, and data science. Braverman leads projects at the Johns Hopkins Mathematical Institute for Data Science (MINDS) and the Institute for Data Intensive Engineering and Science (IDIES). He has held visiting roles at Google Research and previously led a research group at HyperRoll (acquired by Oracle in 2009). Education : PhD in Computer Science, University of California, Los Angeles (UCLA), 2011 MSc in Computer Science, UCLA, 2009 MSc in Computer Science, Ben-Gurion University of the Negev, Israel, 2004 BSc in Computer Science (cum laude), Ben-Gurion University of the Negev, Israel, 1998 Research Interests : Braverman’s work bridges algorithm design and real-world applications. His lab develops efficient algorithms for large-scale data (e.g., sketches, coresets) with applications in radiomics, genomics, and systems. Notable areas include adversarial machine learning, continual learning for medical imaging, and federated learning systems. Awards : NSF CAREER Award (2017) Best Paper Award, FAST 2019 Google Faculty Award (2014) Cisco Faculty Award Grants and Labs : Active grants include NSF and industry partnerships. Braverman collaborates across disciplines, including physics, oncology, and radiology, through MINDS and IDIES. His work emphasizes translational AI for healthcare and scalable systems. Key Projects : Development of coreset-based algorithms for efficient LLM training Medical AI fairness and adversarial robustness in radiology Federated learning frameworks for cross-domain medical data

Manuela Gonzalez-SuarezView profile

Associate Professor

• Biodiversity Change
• Conservation Biology
• Ecological Modeling
• +3 more

Dr. Manuela Gonzalez-Suarez is an Associate Professor in Ecology and Evolutionary Biology at the University of Reading's School of Biological Sciences. Her research focuses on understanding biodiversity change, identifying drivers of species loss, and developing predictive models for conservation. She leads the EcCo lab, which explores ecological dynamics through data modeling and fieldwork. Dr. Gonzalez-Suarez's work spans diverse organisms and ecosystems, with a particular emphasis on roadkill ecology, functional diversity, and conservation prioritization. Her expertise includes integrating ecological data to inform policy and management strategies. Recent research highlights include global bird conservation strategies, Amazonian road ecology studies, and innovative tools for IUCN Red List assessments. Collaborations emphasize interdisciplinary approaches to address anthropogenic impacts on biodiversity. Publications span topics from species distribution modeling to functional trait analysis, reflecting her commitment to bridging ecological theory with applied conservation. No scientific awards are explicitly mentioned, but her work demonstrates significant contributions to biodiversity science.

Vincent MorView profile

Professor

• Aging
• Health Care Organizations
• Health Care Policy
• +3 more

Dr. Vincent Mor is the Florence Pirce Grant University Professor of Health Services, Policy and Practice at Brown University's School of Public Health. With over 40 years of tenure, he has held leadership roles including Chair of the Department of Community Health (1996–2010) and directed the Center for Gerontology and Health Care Research. His research focuses on aging, long-term care, and nursing home quality. Education details are not explicitly listed, but his career trajectory reflects advanced academic training in public health or related fields. Research interests include health policy, nursing home data systems (e.g., Minimum Data Set), and pragmatic clinical trials for dementia care. He co-leads the NIA IMPACT Collaboratory to improve dementia interventions through embedded trials. He has secured over 50 NIH grants and led major projects like the Program Project Grant examining Medicare/Medicaid impacts on long-term care. His team developed risk-adjusted quality indicators for nursing homes, now used nationally. Awards include the Susan Colver Rosenberg Medal (2021), National Academy of Medicine election (2015), and AcademyHealth’s Distinguished Investigator Award (2011). Recent work addresses vaccine efficacy (e.g., long-COVID risks, influenza vaccination disparities), nursing home staffing, and dementia care interventions. He has published over 500 peer-reviewed articles and serves on editorial boards like Health Services Research.

Sonja PhilippView profile

Professor

• Structural Geology
• Geothermal Reservoirs
• Fracture Mechanics
• +3 more

Sonja Philipp is Professor of Structural Geology and Geodynamics at the University of Göttingen, researching brittle deformation processes and geothermal reservoir characterization. Her work combines field studies with numerical modeling to analyze fracture propagation and fluid transport in sedimentary rocks. Projects include AuGE (geothermal exploration analogues) and fracture analyses in limestone-marl alternations. Research highlights permeability structures in fault zones and mechanical heterogeneity effects on reservoir performance. Philipp teaches Fractured Reservoirs and leads rock mechanics investigations for safe geothermal drilling.

• Biostatistics
• Public Health Research
• Collaborative Statistical Methods
• +3 more

Alex Dahlen is a Clinical Associate Professor of Biostatistics at the NYU School of Global Public Health, leading the Collaborative Statistical Core. He holds a PhD in physics from Princeton University (2011) and previously served as a senior statistician at Stanford University's Department of Medicine. His work focuses on collaborative statistical methods for public health research, study design, and training next-generation data scientists. Education: PhD in Physics (Princeton University, 2011). Professional experience includes statistical leadership roles in academic and clinical settings, emphasizing interdisciplinary collaboration and methodological rigor. Research interests span biostatistical applications in neonatal care, healthcare data analysis, and global public health challenges. His recent studies address falls prevention, neonatal hypothermia protocols, and healthcare worker mental health during pandemics. He actively mentors junior scientists in coding, analysis, and ethical research practices. Notable contributions include benchmarking healthcare claims data and developing telemedicine strategies for neonatal care. His work integrates cutting-edge statistical techniques with real-world clinical and public health problems.

Edith CohenView profile

Visiting Professor

• Algorithms Design
• Data Mining
• Big Data Analytics
• +10 more

Edith Cohen is a Research Scientist at Google and a Visiting Full Professor in the School of Computer Science at Tel Aviv University, where she contributes to academic research and teaching. Her career spans leading industrial research labs, including AT&T Bell Labs, Microsoft Research, and Google Research. Undergraduate and M.Sc.: Tel Aviv University (1985, 1986) Ph.D.: Stanford University, Computer Science (1991) Her research centers on scalable algorithms for massive data, with key contributions in sketching (e.g., MinHash, HyperLogLog), sampling techniques, graph mining (centrality, influence, similarity), data streams, and differential privacy. She designs principled algorithmic solutions that balance accuracy, speed, and storage in large-scale systems. The recent articles highlight a strong focus on robustness and privacy in streaming and learning systems, particularly under adversarial or adaptive settings. Her work bridges theoretical rigor with practical impact, applying advanced statistical and algorithmic methods to real-world data challenges. ACM Fellow (2017) IEEE Communications Society William R. Bennett Prize (2007) ISF and NSF Research Grants She has advised several students and interns at AT&T and Google, and has served on program committees and editorial boards of top computer science venues. Her work has led to numerous patents in data summarization, network routing, and query processing. She actively collaborates with researchers across institutions and continues to publish in premier conferences such as STOC, KDD, ICML, and PODS.

Ulrich HalekohView profile

Associate Professor

• Biostatistics
• Epidemiology
• Biodemography
• +7 more

Ulrich Halekoh is an Associate Professor in the Department of Public Health at the University of Southern Denmark, Faculty of Health Sciences. His work lies at the intersection of biostatistics, epidemiology, and biodemography, with a strong emphasis on twin and cohort studies, genetic epidemiology, and methodological research in clinical and public health settings. His research interests include: Biostatistical methodology for study design and analysis Genetic and environmental determinants of health and disease Biodemography and aging Occupational and musculoskeletal health Clinical epidemiology, particularly in critical care and neurology The trends in his recent publications reveal a consistent focus on statistical modeling in complex datasets, including twin studies, register-based research, and clinical trials. His work frequently involves collaboration across disciplines, applying advanced biostatistical techniques to real-world health problems such as ICU management during the pandemic, back disorders in occupational settings, and motor function in cerebral palsy. Though no formal list of awards is provided, his sustained research output and leadership in national and international statistical societies reflect recognition in his field. He is actively involved in teaching and supervision, offering courses in biostatistics, R programming, and STATA, contributing significantly to graduate and professional training. While specific advisees are not listed, his collaborative research suggests active mentorship. He has participated in multiple workshops and conferences, including leadership roles in the Danish Society for Theoretical Statistics. Ulrich Halekoh is a key member of research teams focusing on genetic epidemiology and public health statistics, contributing to large-scale studies involving Danish twin registries and national health databases.

• Data Management
• Database Design
• Wildlife Ecology
• +3 more

Dr. Novella Franconi is a Researcher in Biosciences at Swansea University, affiliated with the School of Biosciences, Geography and Physics. She holds expertise in research data management, ecological database design (particularly PostgreSQL), and wildlife ecology. She teaches modules BIO252 (Ecological Data Analysis) and BIO346 (Professional Skills in Marine Biology), focusing on data standards, FAIR data principles, and employability skills. Education: MSc in Biosciences from the University of Pisa (Italy) and a PhD in Environmental Sciences from the University of Siena (Italy). Prior to Swansea, she worked at the University of Siena, French ONCFS Institute, and the international EURODEER project. Research interests include wildlife movement ecology, remote sensing, and data-driven conservation strategies. Her work emphasizes spatial databases, reproducible data practices, and collaborative projects with NGOs and protected areas. Recent publications span topics like animal ID systems, grey seal phenology under climate change, and biologger optimization. She actively collaborates with global researchers and institutions to advance wildlife monitoring and biodiversity conservation.

Marine CioccoView profile

Researcher

• Meteoritics
• Planetary Science
• Cosmochemistry
• +7 more

Marine Ciocco is a Researcher and Postdoctoral Fellow at the University of Oslo's Department of Geosciences, affiliated with the Centre for Planetary Habitability. Her work focuses on meteoritics, planetary science, and cosmochemistry with an emphasis on impact processes and Martian sample analysis. Education: PhD in Earth, Universe and Space Sciences - Cosmochemistry (2023), Muséum National d'Histoire Naturelle & Sorbonne Université Masters in Planetary Science and Space Exploration (2019), Paris Saclay University Bachelor in Earth Sciences (2017), Paris Sud University Research Interests: Study of impact cratering dynamics on Earth and Mars Characterization of shock metamorphosed minerals in martian samples Development of analogue samples for Mars Sample Return missions High-pressure geochemistry of extraterrestrial materials Key Projects: Mars Sample Return Analogue Sample Library (MSR ASL) Impact Craters from Earth to Mars Teaching: Courses on meteorites, planetary science, and asteroid studies at both French and English language levels. Grants/Awards: Meteoritical Society Barringer Crater Company Travel Award (2021) Orlaug L. Merkesdals Legat Grantee (2024) Labs/Teams: Active contributor to the Centre for Planetary Habitability's Mars Sample Return research initiatives.

• Climate Change Biology
• Invasive Species Ecology
• Biodiversity Conservation
• +5 more

Stefan Dullinger is a Professor in the Department of Botany and Biodiversity Research at the University of Vienna’s Faculty of Life Sciences. His research focuses on climate change impacts, invasive species, and biodiversity conservation in alpine and tropical ecosystems. He leads projects such as MICROCLIM, examining alpine flora under climate change, and has contributed to over 200 peer-reviewed publications. Research Interests: Climate Change Adaptation in Ecosystems Biological Invasions and Their Management Protected Area Effectiveness Species Distribution Modeling Mountain and Alpine Ecosystems Key Projects: ERC-funded MICROCLIM (2021–2025): Microscale analysis of alpine plant responses to climate change Climate change impacts on global alpine diversity (2025–2029) Modeling drivers of plant radiation (2021–2024) Publications Highlight: Over 200 articles, including work on agroforestry impacts, alien species distributions, and forest management challenges in Europe. Recent contributions emphasize ethical dilemmas in conservation and global biodiversity footprints of urban consumption. Collaborations: Extensive international networks, with recent contributions to UN SDG-related research and interdisciplinary studies on epigenetics and climate adaptation in alpine plants.

Wen JiangView profile

Professor

• Cryo-EM Structural Biology
• Biophysics Computing
• In situ Structural Biology
• +4 more

Wen Jiang is the Dorothy Foehr Huck and J. Lloyd Huck Chair in Structural Biology and Professor of Biochemistry & Molecular Biology at Penn State University. He leads the Jiang Lab, specializing in cryo-EM structural biology, biophysics computing, and in situ structural techniques like CLEM and electron tomography. His research focuses on amyloids, viruses, and protein complexes, alongside methodological advancements in cryo-EM sample preparation and data analysis. Education: B.S. in Physics (Peking University), M.S. in Biophysics (Chinese Academy of Sciences), Ph.D. and postdoc in Cryo-EM (Baylor College of Medicine under Prof. Wah Chiu). Research interests include structural studies of neurodegenerative disease-related amyloids, viral structures, and the development of computational tools for cryo-EM (e.g., Helicon, CryoVR). The lab collaborates across disciplines, welcoming candidates in biology, physics, engineering, and computer science. Prominent software contributions include MotionCorr enhancements, jspr for image processing, and web apps like map2seq and ProCart. Alumni have transitioned to roles at institutions like NIH, HHMI Janelia, and industry positions in biotechnology. Key lab activities include cryo-EM methodology, viral vaccine design using pseudoviruses, and structural studies of bacterial enzymes and viral capsids. Collaborations focus on applying cryo-EM to biomedical challenges like neurodegeneration and infectious diseases.

Inga UrtāneView profile

Assistant Professor

• Pharmacology
• Toxicology
• Pharmaceutical Sciences
• +9 more

Inga Urtāne is an Assistant Professor and Head of the Department of Pharmaceutical Chemistry at the Faculty of Pharmacy, Riga Stradins University. She is actively engaged in research and academic leadership, contributing to pharmaceutical sciences, clinical pharmacology, and public health. Her affiliations include expert roles at the Latvian Council of Science in Basic Medicine and Chemical Sciences, and membership in professional and ethics committees. Riga Stradins University – Faculty of Pharmacy, Department of Pharmaceutical Chemistry Latvian Council of Science – Expert in 3.1 Basic Medicine (2020–2026) and 1.4 Chemical Sciences (2015–2018) Rīgas Austrumu klīniskās universitātes slimnīcas atbalsta fonda Medicīnisko un biomedicīnisko pētījumu Ētikas komiteja – Member Starptautisko inovatīvo farmaceitisko firmu asociācijas un Latvijas Patentbrīvo medikamentu asociācija – Member Her research centers on drug safety, polypharmacy, and cardiovascular pharmacotherapy, with a focus on anticoagulants, lipid-lowering agents, and antihypertensive drugs. She investigates medication adherence, prescribing errors, and national drug consumption trends using real-world health data. Her work supports the UN Sustainable Development Goal for Good Health and Well-being. The recent publications (2020–2024) reflect a strong trend in pharmacoepidemiology, clinical pharmacy, and analytical pharmacology, particularly on direct oral anticoagulants, statin therapy, and hypertension management. Her studies often involve collaboration with national health databases and focus on optimizing drug use in complex patient populations. Scientific Awards and Recognitions: No specific awards or prizes are mentioned in the provided text. Advising and Grants: Inga Urtāne serves as a supervisor for PhD projects, including those on DOAC safety and hypolipidemic drug use. She has contributed to multiple RSU-funded and national research initiatives. Her leadership extends to organizing academic events such as RSU Research Week 2025 and participating in scientific committees. Labs and Research Teams: While no specific lab name is provided, her research is conducted within the Department of Pharmaceutical Chemistry at RSU, involving interdisciplinary teams focused on drug analysis, clinical outcomes, and public health policy.