جست‌وجوی استاد و پژوهشگر

Brian D. Atheyمشاهده پروفایل

استاد

• Bioinformatics
• Pharmacogenomics
• Machine Learning
• +۸ مورد دیگر

Brian D. Athey is a Professor of Computational Medicine and Bioinformatics and Psychiatry at the University of Michigan Medical School. He serves as Michael Savageau Collegiate Professor & Chair of his department, leading interdisciplinary research in pharmacogenomics, epigenomics, and machine learning applications. His work bridges biomedical informatics with clinical insights in mental health, neurology, and drug response mechanisms. Ph.D. , Biophysics, University of Michigan (1990) B.S. , University of Michigan-Dearborn (1982) Dr. Athey’s research focuses on the pharmacoepigenome, high-throughput 4D imaging, and AI-driven pharmacogenomic pipelines. His lab develops tools for patient-specific drug response prediction, chromatin structure analysis, and next-generation sequencing assays. Collaborations span institutions like Assurex Health, tranSMART Foundation, and Johns Hopkins Medical School. His publications highlight innovations in pharmacogenomics, including AI integration for variant identification, 4D nucleome modeling, and adverse event ontologies. Recent projects address bipolar disorder treatment personalization, hypertension management, and generative AI workflows to enhance academic productivity. Scientific Awards : NIH Postdoctoral Fellowship 1990-1991 NIH Postdoctoral Fellowship 1991-1993 Advisees & Collaborations : His lab mentors PhD and Masters students in bioinformatics and biostatistics, with graduates like Ari Allyn-Feuer (GSK AI Products Director) and Alex Kalinin (Broad Institute). Collaborations include NIH-funded initiatives (O’Brien Kidney Core Center, VIOLIN 2.0) and industry partnerships.

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
• +۴ مورد دیگر

Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

John Stultsمشاهده پروفایل

پژوهشگر

• Mass Spectrometry
• Proteomics
• Protein Analysis
• +۳ مورد دیگر

John Stults is a Staff Scientist and Fellow at Genentech, Inc., with over 19 years of experience in technical development, analytical development, and quality control. He has contributed to 61 publications and received three major scientific awards, including the 2002 Distinguished Contribution in Mass Spectrometry Award. PhD in Analytical Chemistry from Michigan State University (1985) BA in Chemistry from the College of Wooster (1980) Stults specializes in mass spectrometry, proteomics, and analytical chemistry, with a focus on protein characterization, post-translational modifications, and biopharmaceutical quality control. His work includes developing Peptide Mass Fingerprinting, a foundational technique in proteomics. His recent publications highlight advancements in analytical strategies for biologics, with emphasis on mass spectrometry applications, protein variant analysis, and multidimensional separation techniques. These works span domains such as therapeutic monoclonal antibodies, enzyme inhibition, and RNA-binding protein complexes. Scientific Awards: Distinguished Contribution in Mass Spectrometry Award, American Society for Mass Spectrometry – 2002 Analytical Chemistry Graduate Fellowship, American Chemical Society – 1983-1984 Phi Beta Kappa, College of Wooster – 1980 Stults has mentored scientists and team leaders at Genentech, contributing to the development of analytical review protocols and control strategies for clinical biologics. He served as Associate Editor of Molecular & Cellular Proteomics from 2008-2014 and holds six US patents in protein analysis.

Monica Fabianiمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Human Memory
• Aging
• +۵ مورد دیگر

Monica Fabiani is a Professor at the University of Illinois Urbana-Champaign, affiliated with the Neuroscience Program and the Beckman Institute for Advanced Science and Technology. She holds academic roles in Psychology and Neuroscience. Her research focuses on cognitive neuroscience of human memory and aging, neuroimaging tool development (e.g., EROS), and cerebrovascular contributions to brain aging. Prof. Fabiani’s work is funded by NIH (NIA) and MindPortal, emphasizing interdisciplinary integration of behavioral, electrophysiological, and neuroimaging data. Education: Ph.D. in Biological Psychology/Cognitive Neuroscience from the University of Illinois Urbana-Champaign. She serves as Editor of Psychophysiology and has received prestigious awards, including the Association for Psychological Science Fellowship (2006). Research Interests: Cerebrovascular health, neurophysiological bases of cognitive control, and multimodal imaging techniques. Key projects include studying arterial elasticity (pulse-DOT), cognitive aging mechanisms, and combining EEG, MRI, and optical methods. Notable Achievements: 181+ publications, including high-impact studies on white matter microstructure and the effects of physical activity on brain health. Her lab develops innovative tools like trimodal imaging and optical signal analysis for clinical and cognitive applications. Grants & Collaborations: Active projects funded by NIA and MindPortal, with international collaborations in brain aging and neuroimaging. She leads efforts to bridge basic science and translational research in cognitive health.

Becky B. Westerdahlمشاهده پروفایل

استاد

• Applied Nematology
• Integrated Pest Management
• Nematology Extension
• +۳ مورد دیگر

Becky B. Westerdahl is a Professor and Professor of Cooperative Extension at the University of California, Davis, affiliated with the Department of Nematology within the College of Agricultural and Environmental Sciences. She joined UC Davis in 1986 and holds a B.S. in Biology from Chapman University (1972) and a Ph.D. in Biology with a specialization in Nematology from the University of California, Riverside (1978). Her research focuses on applied nematology, integrated pest management, and extension services. Key interests include biotechnological approaches to nematode management, sustainable practices for agricultural crops, and the development of non-chemical pest control strategies. She has contributed to studies on root lesion nematode resistance in Easter lilies, trap cropping systems for vegetable crops, and the use of essential oils and biochar in pest management. Her work emphasizes practical solutions for farmers, such as optimizing irrigation techniques for nematicide efficacy and evaluating preplant soil fumigation alternatives. She has published extensively on nematode challenges in sugarcane, sugar beet, potatoes, and other crops, advocating for environmentally friendly methods. Westerdahl collaborates with extension programs to disseminate knowledge, ensuring research findings translate into actionable strategies for agricultural communities. Her contributions span peer-reviewed articles, book chapters, and outreach initiatives, reflecting her dual role as a researcher and educator.

• Prospective Memory
• Cognitive Psychology
• Neuroscience
• +۳ مورد دیگر

Dr. Marcus Möschl is a Researcher at the Department of Psychology within the Faculty of Science at Technische Universität Dresden. His work focuses on prospective memory and intention deactivation, exploring how cognitive intentions persist post-completion, the interplay with cognitive control, and the impact of acute stress. He holds a Dr. rer. nat. in Psychology (2019) and a Diploma (2013), both from TU Dresden. His research has been supported by the Collaborative Research Center CRC 940 'Volition and Cognitive Control'. Research Interests: Prospective memory dynamics, intention deactivation mechanisms, stress effects on cognitive processes, and the role of cognitive control in adaptive behavior. His studies use experimental paradigms to investigate how completed intentions influence subsequent tasks and how stress modulates these processes. Key Findings: Published work includes studies on stress-induced shifts in prospective memory processes, the persistence of intention representations post-completion, and the role of task similarity in aftereffects. His 2023 publications highlight contributions to open science practices and methodological innovations like mouse-tracking for behavioral analysis. Grants/Awards: Fellowship holder in CRC 940 (2014–2019). No specific awards listed. Labs/Teams: Active member of the Institute of General Psychology, Biological Psychology and Methods of Psychology at TU Dresden, collaborating within the CRC 940 framework.

• Metabolic Engineering
• Plant Biology
• Biotechnology
• +۳ مورد دیگر

John Morgan is a Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering and serves as Director of Graduate Studies. He holds a courtesy professorship in Biochemistry. His academic journey includes a B.S. and M.S. from the University of Kansas, a Ph.D. from Rice University, and postdoctoral research at UC Berkeley. His research focuses on metabolic engineering of plant and microbial systems, including optimizing pathways for chemical production, metabolic flux analysis in photosynthetic organisms, and engineering algae for biodiesel. Key projects involve phenylpropanoid metabolism in plants, cyanobacterial strain development for aromatic amino acids, and VOC transport mechanisms in floral cells. Research awards include the University Faculty Scholar (2016) and Fellow of the American Institute of Medical and Biological Engineering (2016). His lab advises graduate students in biochemical engineering and systems biology. Recent advancements include improving phenylalanine production in Synechococcus and analyzing lipid recovery in microalgae. The Morgan Lab also explores cutting-edge methods like the CERES CRISPR platform for rapid strain engineering. Publications emphasize metabolic flux analysis, enzyme kinetics, and systems-level modeling. Collaborations span plant biology, microbial engineering, and computational biology. Current efforts address sustainable biofuel production and metabolic pathway optimization for industrial applications.

Helen J. Wearingمشاهده پروفایل

استاد

• Mathematical Biology
• Disease Ecology
• Theoretical Biology
• +۳ مورد دیگر

Helen J. Wearing is a Professor in the Department of Biology at the University of New Mexico. She specializes in mathematical biology, focusing on disease ecology and theoretical frameworks to understand host-parasite interactions. Her research integrates mathematical and statistical methods with empirical data to address questions in population dynamics and public health. Dr. Wearing holds a Ph.D. in Mathematics from Heriot-Watt University (2002). Her work emphasizes interdisciplinary collaboration, particularly in virology and public health, to bridge theoretical insights with real-world applications. Key research areas include modeling dengue, schistosomiasis, and hantavirus transmission, with a focus on vector competence, climate impacts, and control strategies. Her publications span topics like mosquito biting behavior, schistosomiasis snail dynamics, and the role of non-model biorepositories in emerging pathogens. These studies highlight the importance of age-structured models and environmental stochasticity in disease systems. While no scientific awards are explicitly listed, her contributions reflect significant academic impact in epidemiological modeling. Her advising and grants focus on training students in mathematical approaches to ecology and epidemiology, though specific grant details are not provided. Dr. Wearing’s lab operates at the interface of mathematics, ecology, and epidemiology, emphasizing practical solutions for public health challenges through rigorous quantitative methods.

Kerem Bögeمشاهده پروفایل

پژوهشگر

• Clinical Psychology
• Psychotherapy Development
• Migration and Mental Health
• +۶ مورد دیگر

Kerem Böge is a clinical psychologist, researcher, and lecturer at Charité - Universitätsmedizin Berlin, where he leads the Psychotic Disorders Research Department. His work focuses on developing novel psychotherapeutic approaches for mental illnesses, particularly in migration contexts, and conducting interdisciplinary global health projects emphasizing capacity building, public attitudes, and stigma research in low- and middle-income countries. Primary Affiliation: Charité - Universitätsmedizin Berlin Research Themes: Migration and mental health, mindfulness-based interventions, digital mental health solutions, schizophrenia spectrum disorders Geographic Focus: Low- and middle-income countries, Vietnam, Germany Research Expertise Dr. Böge's research combines clinical practice with global health initiatives, exploring: Psychotherapeutic interventions for auditory hallucinations and negative symptoms Integration of oxytocin and mindfulness-based therapies Public attitudes toward mental illness across cultures Digital health tools for relapse monitoring and treatment engagement Cultural adaptation of diagnostic tools like the MINI-AR Publication Trends (2023-2025) His recent work emphasizes: Multicenter clinical trials for schizophrenia spectrum disorders Scientific analysis of mindfulness and empathy in psychosis Stigma research across Germany, Vietnam, India, and Turkey Development of culturally sensitive assessment tools Evaluation of digital mental health platforms Cross-national comparisons of treatment approaches Professional Context Dr. Böge operates in interdisciplinary spaces between clinical practice, research methodology, and global health policy. His roles include: Leading research on psychotic disorders Developing innovative treatment frameworks (PRoGO) Conducting cross-cultural studies on mental health literacy Training and education on mindfulness-based interventions Advocating for terminology reform in psychiatric diagnosis

Uri Maozمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuroethics
• Volition and Decision-Making
• +۶ مورد دیگر

Dr. Uri Maoz is an Associate Professor at Chapman University, affiliated with the Crean College of Health and Behavioral Sciences, Schmid College of Science and Technology, and Fowler School of Engineering. His research bridges computational neuroscience, decision-making, and moral philosophy, focusing on volition and the neural underpinnings of conscious action. He holds visiting roles at UCLA (Department of Anesthesiology) and Caltech (Biology and Bioengineering). Educations: Bachelor of Science in Computer Science and General Humanistic Studies, The Hebrew University of Jerusalem Ph.D. in Neural Computation, The Hebrew University of Jerusalem Research Interests: Dr. Maoz investigates how consciousness influences voluntary actions through empirical methods (EEG, intracranial recordings) and theoretical models. He explores ethical and legal implications of neuroscience, particularly regarding free will and decision-making. His work integrates machine learning for real-time neural data analysis. Key Projects: Leading the COVID-Dynamic longitudinal study on pandemic-related behavioral and emotional changes. Developing computational models of volition and neural correlates of intention. Collaborating across disciplines to address neuroethical questions. Visiting Roles: Visiting Assistant Professor at UCLA’s Department of Anesthesiology Visiting Associate in Biology and Bioengineering at Caltech Labs/Teams: Active in Chapman’s Institute for Interdisciplinary Brain and Behavioral Sciences and collaborates with the Anderson School of Management at UCLA.

Catherine Hoarمشاهده پروفایل

استادیار

• Environmental Microbiology
• Wastewater Surveillance
• Biological Wastewater Treatment
• +۳ مورد دیگر

Catherine Hoar is an Assistant Professor in the Department of Engineering at Boston College. Her research focuses on wastewater systems, environmental microbiology, and emerging contaminants. She holds a B.S. from Tufts University and M.S./Ph.D. from Columbia University, followed by postdoctoral work at NYU Tandon School of Engineering. Education: B.S., Environmental Engineering, Tufts University M.S., Earth and Environmental Engineering, Columbia University Ph.D., Earth and Environmental Engineering, Columbia University Her work integrates microbiology, molecular biology, and analytical chemistry to optimize contaminant removal and monitor community health via wastewater surveillance. Recent research emphasizes wastewater-based epidemiology, SARS-CoV-2 monitoring, and sustainable surveillance programs. Publications highlight her contributions to interlaboratory PCR metrics, NYC wastewater dynamics, and microbial community analysis. She advises undergraduate researchers and teaches courses on water quality and bioprocess engineering. Led by the Hoar Lab, her team explores wastewater as both a contaminant barrier and a source of public health insights.

• Circadian Rhythm
• Dynamics
• Neuroscience
• +۳ مورد دیگر

Casey Diekman is a Professor in the Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT). His research focuses on mathematical and computational modeling of circadian rhythms, neural dynamics, and physiological systems. He has led NSF-funded projects, including studies on circadian clock mechanisms, neuronal data assimilation, and hybrid modeling of Alzheimer’s disease. His work integrates biophysical models with machine learning to study systems like cardiac electrophysiology and respiratory control. Roles: Professor, PI of multiple NSF grants Key Collaborations: Projects with researchers in neuroscience, cardiology, and computational biology Education & Background: While specific educational details are not provided, his academic position implies advanced training in applied mathematics or systems biology. Research Interests: Circadian rhythms, entrainment dynamics, computational modeling of biological systems, and applications in health (e.g., arrhythmias, neurodegenerative diseases). His work bridges mathematical theory and experimental data to address clinical problems like drug timing and respiratory failure. Grant Highlights: NSF GOALI (2022–2026): Integrates deep learning and mechanistic models for circadian clock neurons and Alzheimer’s disease NSF Career (2016–2021): Developed data assimilation tools for circadian rhythm studies NSF (2014–2017): Modeled circadian clock mechanisms from synapse to gene Recent Research Trends: Publications since 2022 focus on circadian impacts on drug safety, respiratory control during SARS-CoV-2 infection, and Alzheimer’s disease modeling using deep learning. His work often emphasizes interdisciplinary approaches to understand biological timing and its disruptions. Awards & Recognition: While specific prizes are not listed, his extensive grant portfolio and citation count (792) reflect scholarly impact. Advising & Grants: Oversees research teams in circadian biology and computational neuroscience. Media coverage highlights breakthroughs like explaining ‘happy hypoxia’ in COVID-19 patients and antiarrhythmic drug timing risks. Labs/Teams: Engaged in collaborative projects with institutions like NIH and other universities, focusing on systems-level biological modeling.

C. Nathan DeWallمشاهده پروفایل

استاد

• Social Exclusion
• Self-Regulation
• Aggression
• +۵ مورد دیگر

C. Nathan DeWall is a Professor of Psychology at the University of Kentucky. His research focuses on social exclusion, self-regulation, and aggression, with additional interests in social neuroscience, consumer behavior, and the psychology of religion. He holds a Ph.D. from Florida State University (2007) and has authored/co-authored multiple influential textbooks including Psychology (Worth Publishers), Exploring Psychology , and Psychology of Everyday Life . His research has been funded by the National Institutes of Health, National Science Foundation, and the John Templeton Foundation. Key areas of exploration include how social rejection influences aggression, the neurological basis of self-regulation, and the application of psychological principles to organizational settings. Recent work examines the role of religious deidentification in consumer behavior and moral decision-making. His publications span high-impact journals such as Psychological Science , Journal of Personality and Social Psychology , and Social Cognitive and Affective Neuroscience . He is also known for innovative methods like the Voodoo Doll Task to measure aggressive tendencies. His interdisciplinary approach bridges social, clinical, and neuropsychological perspectives.

Yunhua Luoمشاهده پروفایل

استاد

• Finite Element Method
• Computational Mechanics
• Composite Materials
• +۴ مورد دیگر

Dr. Yunhua Luo is a Professor & Associate Head (Graduate Program) in the Department of Mechanical Engineering at the University of Manitoba (Price Faculty of Engineering). His expertise lies in computational mechanics, finite element methods, and biomechanical modeling. He holds a PhD from Stockholm, Sweden (1999), a Licentiate (MSc) from Stockholm (1997), and a B.Eng. from Beijing, China (1985). His research focuses on three core areas: Development of advanced finite element methods for composite materials Multilevel biomechanical modeling of bone strength and hip fracture mechanisms Mechanistic analysis of brain injury and helmet design optimization Over 30 years of academic progression includes roles from Research Associate (2000–2006) to full Professor (2019–present). His recent publications (2022–2025) emphasize voxel-based modeling, osteoporotic fracture risk prediction, and helmet performance evaluation. Current research seeks MSc/PhD students in computational micromechanics.

Lilit Yeghiazarianمشاهده پروفایل

دانشیار

• Environmental Engineering
• Water Resource Management
• Porous Media
• +۵ مورد دیگر

Lilit Yeghiazarian is an Associate Professor at the University of Cincinnati’s School of Energy, Environmental, Biological & Medical Engineering and the Department of Biomedical, Chemical & Environmental Engineering. She holds a Ph.D. in Biological Engineering from Cornell University (2001), an M.S. in Industrial Engineering from the American University of Armenia (1995), and a B.S. in Automation and Control (Summa Cum Laude) from Yerevan Polytechnic Institute (1992). Her research focuses on Multifunctional advanced materials and environmental sensing Biomimetic robotics and autonomous sensors Porous media flow simulation and design Watershed sustainability and stochastic contaminant transport modeling Her work bridges microscopic and macroscopic scales, integrating stochastic systems, control theory, and environmental engineering for applications like urban flood management and pathogen transport. Key contributions include the Urban Flooding Open Knowledge Network (UF-OKN) , a framework for real-time flood forecasting and risk communication, and the Pore Topology Method for porous material design. She has secured over $10 million in federal grants, including NSF CAREER and RAISE awards. Awards include the Ruth L. Kirschstein National Research Service Award (2006–2008) and Alpha Epsilon Honor Society (1998). She serves on multiple editorial and review boards, including the Water Environment Research Foundation.