جست‌وجوی استاد و پژوهشگر

Abhijit Banerjeeمشاهده پروفایل

استاد

• Economics
• Development Economics
• Public Health Policy
• +۳ مورد دیگر

Abhijit Banerjee is a Professor in the Department of Economics at the Massachusetts Institute of Technology (MIT). His research focuses on development economics, public health policy, and social protection programs, particularly addressing poverty and inequality in low- and middle-income countries. He has conducted large-scale experiments evaluating interventions such as conditional cash transfers, universal basic income, and healthcare policies. Key areas of interest include the design and implementation of anti-poverty programs, behavioral economics, and the long-term health impacts of infectious diseases like COVID-19. His work often integrates experimental methods to assess policy effectiveness, with contributions to global health studies and economic development strategies. Notably, his research on the RECOVERY trial evaluates treatments for hospitalized COVID-19 patients, while other studies explore financial spillover effects of electronic government transfers in Indonesia and savings behavior interventions in Chile. Banerjee has collaborated on projects analyzing post-COVID-19 health outcomes, labor market dynamics in India, and the role of trusted messengers in public health communication during crises. Despite the breadth of his contributions, specific details about his educational background, grants, or lab affiliations are not explicitly provided in the source text.

Allison Koeneckeمشاهده پروفایل

استادیار

• Algorithmic Fairness
• Computational Social Science
• Public Health
• +۴ مورد دیگر

Allison Koenecke is an Assistant Professor of Information Science at Cornell Tech and a field faculty member in Computer Science at Cornell University. Previously, she was a postdoctoral researcher at Microsoft Research New England and completed her PhD at Stanford University’s Institute for Computational & Mathematical Engineering. Her research focuses on algorithmic fairness, computational social science, and causal inference in public health, addressing disparities in automated systems like speech recognition and policy decision-making. Education : PhD, Stanford Institute for Computational & Mathematical Engineering MA/MS, Stanford University BA/BS, Massachusetts Institute of Technology Research Interests : Dr. Koenecke’s work bridges economics and computer science, emphasizing equity in AI systems. Key areas include: Algorithmic bias in speech recognition (e.g., racial disparities in voice assistants) Fairness in policy tools like environmental justice data systems Causal analysis in public health interventions Ethical implications of large language models in education Media & Impact : Her research has been featured in outlets like New York Times , Science , and Scientific American . Notable studies include exposing racial gaps in speech-to-text systems and advocating for inclusive dataset development. She also explores societal impacts of AI in education and governance. Awards : Sloan Research Fellow in Computer Science Forbes 30 Under 30 in Science NSF Awards Cornell CIS Teaching Excellence Award (2024) Teaching & Outreach : She teaches courses like Designing Fair Algorithms and Data Science for Global Development , emphasizing interdisciplinary collaboration. Her PhD Professionalization course addresses hidden curricula in academia. She advises on AI ethics for nonprofits, tech companies, and government agencies.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Professor Daniel Rueckert is a leading academic in Artificial Intelligence and Medical Imaging, holding dual positions at Imperial College London (as Professor of Visual Information Processing) and Technical University of Munich (Alexander von Humboldt Professor for AI in Medicine and Healthcare). He obtained his MSc from Technical University Berlin (1993) and PhD from Imperial College London (1997), followed by postdoctoral work at King’s College London. At Imperial, he led the Department of Computing (2016–2020) and founded the Biomedical Image Analysis group. His research focuses on AI-driven medical image analysis, including algorithms for image reconstruction, registration, and clinical decision support. His research interests span AI applications in healthcare, machine learning for medical imaging, and computational methods for clinical diagnostics. Notable contributions include over 500 publications and 60+ PhD graduates, with key works in federated learning, cardiac motion analysis, and biomarker development. Awards include the Leibniz Prize (2025), Royal Academy of Engineering Fellowship (2015), and multiple ERC grants. He leads the BioMedIA research group and is an editorial board member of Medical Image Analysis . Recent publications highlight advancements in AI-driven medical imaging, such as secure federated learning frameworks and deep learning models for disease prediction. His work bridges academic and industrial sectors through initiatives like IXICO, an Imperial spin-out. Current affiliations include roles at both Imperial and TUM, emphasizing interdisciplinary collaboration in healthcare technology. Advising and grants: Supervised over 60 PhD students and 40 post-docs. Secured grants including ERC Synergy (2013) and ERC Advanced (2020). Active in labs focused on biomedical image computing and AI in healthcare systems. Collaborative efforts include the BioMedIA group and TUM’s AI initiatives. Labs/teams: Leads the Biomedical Image Analysis group at Imperial and the TUM AI in Medicine team. Collaborates extensively on projects like cardiac imaging analysis and federated learning for healthcare.

• Cellular Toxicology
• In Vitro Methodology
• Fish Cell Biology
• +۲ مورد دیگر

Dr. Vivian Dayeh is an Associate Professor in the Department of Biology at the University of Waterloo, where she joined in 2004 as a full-time lecturer. Her roles include Teaching Fellow, Undergrad Advisor for Biomedical Science and Medical Physiology, and coordinator of the Biotech Technician Diploma program. Ph.D. Biology, University of Waterloo (2004) M.Sc. Biology, University of Waterloo (2001) B.Sc. Biology, University of Waterloo (1999) Dr. Dayeh specializes in cellular toxicology and in vitro methodology development , focusing on alternatives to whole-organism testing in aquatic environments. Her work explores toxicant effects on fish cells, particularly gill and intestinal epithelial systems, and employs protozoa as toxicity indicators. Recent research examines temperature and nutritional stress impacts on cell viability. Her publications from 2004-2025 demonstrate expertise in fish cell culture , cytotoxicity assays , and environmental contaminant testing , with applications in regulatory toxicology and industrial effluent analysis. 2024 Service Award, Society for In Vitro Biology 2021 Fellow Award, Society for In Vitro Biology Multiple Outstanding Performance Awards (2006-2020) Jack Carlson Teaching Excellence Awards (2006, 2018) Joseph F. Morgan Awards (2002, 2003) As an educator, Dr. Dayeh teaches core courses including Introductory Cell Biology , Human Anatomy , Human Physiology , Environmental Toxicology , and Animal Cell Biotechnology . She serves on the SIVB Board and facilitates instructional skills workshops.

Farnoush Banaei-Kashaniمشاهده پروفایل

دانشیار

• Data Management
• Big Data
• Decision Support Systems
• +۴ مورد دیگر

Farnoush Banaei-Kashani is an Associate Professor (Tenured) in the Department of Computer Science and Engineering at the University of Colorado Denver. She also holds an Adjunct Associate Professor position in the Department of Mathematical and Statistical Sciences. As the founder and director of the Big Data Management and Mining Lab (BDLab), she leads multiple GAANN Fellowship Programs, including BDSE (Big Data Science and Engineering), DDC (Data-Driven Cybersecurity), and II (Infrastructure Informatics). She directs the 'Data Science in Biomedicine' MS Track and focuses on data-driven decision systems (DDSs), integrating machine learning and big data analytics into healthcare, energy, transportation, and environmental applications. Education: Details not explicitly provided in the text. Her research spans data management cycles for DDSs, addressing challenges like big data volume, velocity, and variety. Key projects include iWatch (crime surveillance), POCM (mobility monitoring), and GeoSIM (urban texture documentation). She teaches courses such as Machine Learning Systems, Big Data Science, and Data Mining. Publications highlight advancements in sea ice classification, federated learning, proteomic networks, and privacy-preserving AI. Her work is funded by NSF, NIH, DOT, and industry partners like Google and IBM. She has advised numerous students and contributes to academic leadership as editor, conference chair (ACM SIGSPATIAL 2018/2019), and program committee member for venues like SIGMOD and KDD.

Mathias Christmannمشاهده پروفایل

استاد

• Organic Chemistry
• Natural Product Synthesis
• Organocatalysis
• +۶ مورد دیگر

Prof. Dr. Mathias Christmann is a faculty member at the Institute of Chemistry and Biochemistry, Freie Universität Berlin , leading the research group in Organic Chemistry . His work focuses on strategic and methodological challenges in synthetic chemistry, particularly in total synthesis, organocatalysis, and renewable resource transformations. Position: Professor Contact: mathias.christmann@fu-berlin.de Location: Takustr. 3, Room 24.16, 14195 Berlin Research Interests include: Natural product-inspired small molecule synthesis for biological pathway modulation Minimizing C-C bond formations through selective functionalization of terpene building blocks Organocatalytic and metal-catalyzed reactions in multistep sequences Flow chemistry applications for scalable and sustainable synthesis Biological evaluation of TRPC channel agonists/antagonists for cancer therapy Publication Trends highlight expertise in total synthesis of complex terpenoids, organocatalysis for stereocontrolled reactions, flow chemistry for late-stage transformations, and TRPC4/5 channel modulation in renal cancer studies. His group pioneers asymmetric desymmetrization , photo-oxidation protocols , and electrosynthesis methods with minimal reagent waste. Advisees include PhD candidates Jan-Hendrik Dickoff , Mayar Elbendary , Nadine Kreidt , Tobias Olbrisch , Kamar Shakeri , and Zhen Wang , focusing on terpene-based drug discovery and catalytic reaction design.

• Radiation Biology
• Radiation Carcinogenesis
• Radiation Applications in Medicine
• +۳ مورد دیگر

John Ford is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University. His research focuses on radiobiology, radiation carcinogenesis, and medical applications of radiation. He holds academic appointments within the College of Engineering and contributes to the Health Physics, Radiation Biology & Medical Physics research group. Education includes a B.S. and M.S. in Nuclear Engineering from Mississippi State University (1982, 1986), a Ph.D. in Biomedical Sciences from the University of Tennessee (1992), and postdoctoral training at Oak Ridge National Laboratory (1992–1993). His work emphasizes understanding radiation effects on biological systems, with notable contributions to radiation dosimetry, bystander signaling mechanisms, and dietary modulation of radiation damage. Recent studies explore space radiation monitoring technologies and therapeutic applications of radiation. Awards include the BP Award for Teaching Excellence (2007) and ARRO Educator of the Year (2013–2014). Research spans interdisciplinary areas such as radiation-induced cancer mechanisms, nutritional interventions to mitigate radiation effects, and advanced radiation detection instrumentation. He has advised numerous projects in radiation safety curriculum development and collaborated on NASA-funded studies modeling radiation impacts on astronauts.

Patrick Baylisمشاهده پروفایل

استادیار

• Environmental Economics
• Climate Change Economics
• Energy Economics
• +۴ مورد دیگر

Patrick Baylis is an Assistant Professor of Environmental Economics at the Vancouver School of Economics, University of British Columbia. His research focuses on how people respond to environmental threats such as wildfires, air pollution, and extreme temperatures. He employs large datasets, natural language processing, and spatial information in his work, primarily using R/RStudio and Python for data analysis. Dr. Baylis earned his PhD from the University of California Berkeley in 2016 in Agricultural and Resource Economics. Prior to joining UBC, he was a postdoctoral fellow at the Stanford Center on Food Security and the Environment. He also worked as a research assistant at the Energy Institute at Haas and is a proud alumnus of Carleton College. His research interests span environmental economics with a particular focus on climate change impacts, energy economics, and behavioral responses to environmental threats. His work often examines the intersection of climate, health, and economic behavior, using innovative methods like social media data analysis to measure sentiment responses to temperature changes and other environmental factors. Analysis of his publication record reveals a strong focus on using big data approaches to understand human responses to environmental challenges. His work frequently appears in top journals including Nature Climate Change, PNAS, and the Journal of Public Economics. His research spans multiple subfields including wildfire economics, air quality valuation, climate migration, and the behavioral impacts of temperature extremes. Dr. Baylis has received significant media attention for his work, with coverage in major outlets including The New York Times, The Washington Post, The Guardian, and The Atlantic. His research on temperature and suicide rates, as well as climate perception, has been particularly influential in connecting environmental conditions with human behavior and mental health outcomes. He maintains an active research program examining critical environmental challenges, including wildfire risk, air pollution impacts, climate adaptation strategies, and the economic dimensions of climate change. His work combines rigorous economic analysis with innovative data collection and processing methods to provide new insights into how humans respond to environmental threats.

• Infectious Disease Modeling
• Mathematical Epidemiology
• Rotavirus
• +۵ مورد دیگر

Virginia Pitzer is a Professor of Epidemiology (Microbial Diseases) at Yale School of Public Health, where she joined as an assistant professor in 2012. She serves as Co-Director of the Public Health Modeling concentration and is an Affiliated Faculty member at the Yale Institute for Global Health. Dr. Pitzer is also a member of the Graduate Studies Executive Committee overseeing the PhD program and currently serves as Co-Editor-in-Chief for PLOS Computational Biology. She has contributed to World Health Organization advisory groups, including the Immunization and Vaccine-related Implementation Research Advisory Committee (WHO IVIR-AC). Dr. Pitzer's research focuses on mathematical and statistical modeling of infectious disease transmission dynamics, with special emphasis on rotavirus, typhoid fever, and Respiratory Syncytial Virus (RSV). Her work examines how interventions such as vaccination, improved treatment of cases, and improvements in sanitation affect disease transmission at the population level. She has published extensively on vaccine effectiveness, transmission patterns across age groups, and the impact of vaccination programs in both high and low-income countries. Her research has significant implications for public health policy and vaccine implementation strategies globally. Dr. Pitzer has received recognition for her scholarly contributions through her editorial role at PLOS Computational Biology and her participation in WHO advisory committees. Her work bridges mathematical modeling with practical public health applications, particularly in global contexts where infectious diseases pose significant challenges. As Co-Director of the Public Health Modeling concentration, Dr. Pitzer plays a key role in training the next generation of researchers in mathematical epidemiology. Her collaborative approach is evident through her numerous co-authored publications with researchers across Yale and international institutions. The Pitzer Lab continues to advance methodologies for modeling infectious disease transmission and evaluating public health interventions.

Svetlana Stanišićمشاهده پروفایل

دانشیار

• Environmental Science
• Air Pollution Modeling
• Artificial Intelligence Applications
• +۷ مورد دیگر

Svetlana Stanišić is an Associate Professor at Singidunum University's Faculty of Informatics and Computer Science, Department of Applied Artificial Intelligence. She holds a dental degree from the University of Belgrade's Dental Faculty (1998-2004) and a PhD in Physical Chemistry from the University of Belgrade's Faculty of Physical Chemistry (2007-2011). Her interdisciplinary research bridges environmental science, artificial intelligence, and public health. Her research interests focus on environmental science, air pollution modeling, and artificial intelligence applications . She investigates the atmospheric fate of pollutants using advanced machine learning techniques, with particular emphasis on polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and particulate matter. Her work combines environmental chemistry, computational modeling, and public health impact assessment to address urban air quality challenges. Analysis of her recent publications reveals a clear trend toward explainable AI applications in environmental science . She has pioneered the use of SHAP (SHapley Additive exPlanations), XGBoost, and metaheuristic optimization for pollutant fate prediction and source apportionment. Her research spans indoor and outdoor environments, with particular attention to health implications of air pollution exposure in urban settings like Belgrade. Dr. Stanišić leads significant research projects including "crAIRsis" (2024-2026) , which characterizes crisis-caused air pollution alternations using AI frameworks, and "ATLAS" , focusing on artificial intelligence theoretical foundations for spatio-temporal modeling. She has also authored influential books including "Ako je hrana Vaš porok" (2024) and "Ishrana i zdravlje" (2018). Her research group focuses on environmental informatics , developing computational tools to understand pollutant behavior in complex urban environments. The team combines atmospheric chemistry measurements with advanced machine learning techniques to create predictive models with practical applications for urban air quality management and public health protection.

• Nanomedicine
• Drug Delivery Systems
• Cellular Uptake of Nanoparticles
• +۳ مورد دیگر

Anna Salvati is an Associate Professor specializing in nanomedicine and drug delivery systems. Her research focuses on nanoparticle-cell interactions, biomolecular corona formation, and the physicochemical properties governing nanomaterial behavior in biological environments. Key research themes include cellular uptake mechanisms, toxicity of nanomaterials, and nanoparticle targeting strategies. Recent publications highlight her work on nanoparticle stability, membrane interactions, and environmental impacts of microplastics. Her studies integrate multiomics approaches, advanced imaging, and interlaboratory validation to address challenges in nanomedicine design and safety testing. Current projects explore the role of high-density lipoproteins in nanoparticle functionality and the modulation of drug release kinetics through material engineering.

Akram N. Alshawabkehمشاهده پروفایل

استاد

• Geoenvironmental Engineering
• Soil and Groundwater Remediation
• Electrokinetic and Electrochemical Processes
• +۷ مورد دیگر

Akram N. Alshawabkeh is the George A. Snell Professor of Engineering and University Distinguished Professor at Northeastern University's College of Engineering, where he also serves as Senior Vice Provost and Director of the PROTECT Superfund Research Center. He holds a PhD in Civil and Environmental Engineering from Louisiana State University (1994), an MS from Jordan University of Science & Technology (1990), and a BE from Yarmouk University (1988). His research focuses on geoenvironmental engineering, soil and groundwater remediation, and electrochemical processes. Alshawabkeh has led major research initiatives, including the PROTECT Superfund Research Center (since 2010) and the CRECE Children's Environmental Health Center (since 2015). He has over 100 peer-reviewed publications and has advised numerous PhD, MS, and undergraduate students. His honors include the ASCE Thomas A. Middlebrooks Award (2014), Fulbright Scholar (2005-2006), and National Science Foundation CAREER Award (2001). His service roles include Chair of the Superfund Research Program Conference (2015), Technical Program Co-Chair for GeoCongress 2008, and editorial board memberships in journals like Journal of Geotechnical and Geoenvironmental Engineering . He has also held leadership positions in professional societies, including Fellow status in the American Society of Civil Engineers (ASCE). Alshawabkeh's work emphasizes interdisciplinary collaboration, addressing environmental health challenges in Puerto Rico and beyond. His research integrates engineering, toxicology, epidemiology, and social science to tackle issues like preterm birth linked to environmental contaminants and karst aquifer remediation.

Hanadi Sleimanمشاهده پروفایل

استاد

• Chemical Biology
• Materials Chemistry
• Nanotechnology
• +۳ مورد دیگر

Professor Hanadi Sleiman is a renowned academic in the Department of Chemistry at McGill University, specializing in DNA-based nanomaterials and their applications in drug delivery and supramolecular chemistry. She holds leadership roles, including Director of the NSERC CREATE training program in Nucleic Acids and President of the International DNA Nanotechnology Society (ISNSCE). Her research focuses on engineering DNA nanostructures for targeted therapies, such as cancer treatments, and advancing materials chemistry through DNA-functionalized systems. Education: Ph.D. in Chemistry, Stanford University (1990) Postdoctoral Fellow, University of Louis Pasteur (1993) Research Interests: Professor Sleiman’s work combines synthetic chemistry with DNA self-assembly to create programmable materials. Her lab designs DNA cages for drug encapsulation, explores DNA-minimal approaches to scalable materials, and integrates DNA with nanoparticles, polymers, and metals for biomedical applications. Key areas include cancer therapy, biosensors, and enzyme mimics. Awards & Honors: Fellow of the Royal Society of Canada (2017) Killam Research Fellowship (2018) R. U. Lemieux Award in Organic Chemistry (2018) William Dawson Scholar Award (2004–2012) Grants & Collaborations: She directs the NSERC CREATE program and collaborates with institutions like the Quebec Centre for Advanced Materials (QCAM) and the McGill Centre for Structural Biology (CRBS). Her training initiatives emphasize nucleic acid therapeutics and diagnostics. Labs & Teams: Her Sleiman Group at McGill develops innovative DNA architectures in the Otto Maass laboratory, with a focus on translational research for clinical applications.

Gabriela Minigoمشاهده پروفایل

پژوهشگر

• Immunology
• Microbiology
• Malaria Research
• +۵ مورد دیگر

Gabriela Minigo serves as an Honorary Fellow in Global and Tropical Health and Associate Dean - Learning and Teaching within the Faculty of Health. Her academic profile demonstrates active engagement in malaria immunology research with a recent expansion into circadian rhythm and metabolic health investigations. Dr. Minigo completed her PhD at the University of Melbourne (awarded March 31, 2007) and earned a Master of Clinical Epidemiology from the University of Newcastle (awarded December 8, 2017). Her educational background provides a strong foundation in both basic science and clinical epidemiology. Her primary research focuses on immunological responses to malaria, with particular expertise in T follicular helper cells, dendritic cell function, and regulatory T cells in Plasmodium falciparum and Plasmodium vivax infections. Analysis of her research fingerprint reveals significant contributions to Plasmodium falciparum Immunology and Microbiology (100%), Dendritic Cell Immunology and Microbiology (45%), Regulatory T Cell Immunology and Microbiology (38%), and other related fields. In recent years, she has expanded her research to investigate the relationship between photoperiod, circadian rhythm, and metabolic health, as evidenced by her 2024 publications on these topics. Dr. Minigo's scholarly output shows an evolving research trajectory from fundamental malaria immunology toward interdisciplinary investigations connecting circadian biology with metabolic health. Her recent publications (2022-2024) demonstrate continued strong contributions to malaria immunology while incorporating new dimensions related to light exposure, sleep patterns, and glucose control. She has secured research funding for multiple projects including 'Rainmaker start up- Does exposure to artificial light alter circadian rhythm and glucose control in Australian adults? A pilot study' (2023-2026) where she serves as Co-Investigator, and 'Effect of Extended Photoperiod Exposure on Circadian Rhythm and Glucose Control' (2024-present) where she is Principal Investigator. Previously, she contributed as Chief Investigator C to 'Manipulating T follicular helper cells to improve human malaria vaccines' (2020-2023). As Associate Dean for Learning and Teaching, Dr. Minigo holds significant educational leadership responsibilities within the Faculty of Health. She is registered to supervise postgraduate research, indicating her active role in mentoring graduate students in immunology and tropical medicine research.

Ka I Ipمشاهده پروفایل

استادیار

• Developmental neuroscience
• Emotion regulation
• Cross-cultural psychology
• +۸ مورد دیگر

Ka I Ip is an Assistant Professor at the Institute of Child Development , University of Minnesota. As director of the D.A.N.C.E. Lab , Dr. Ip employs multimodal methods including neuroimaging, cortisol assays, and cross-cultural experiments to study emotion regulation and developmental psychopathology. PhD in Developmental Psychology (University of Michigan) Susan Nolen-Hoeksema Postdoctoral Fellow (Yale University) Research focuses on how cultural contexts and early adversity shape emotional development, with particular attention to racial-ethnic minorities and immigrant families . His work applies findings to social policy reform and health equity initiatives. Recent publications analyze neighborhood socioeconomic impacts on brain development , discrimination effects in bilingual adolescents , and cortisol dynamics in immigrant families . Key journals include Biological Psychiatry and Developmental Psychology . APA Editor’s Choice Article (2024) Yale Health Equity Research Finalist (2022) Accepting PhD students for Fall 2026. Collaborates with teams in neuroimaging , cross-cultural research , and pediatric biomarker studies .