جست‌وجوی استاد و پژوهشگر

• Allergy and Clinical Immunology
• Food Allergy
• Primary Immunodeficiency
• +۳ مورد دیگر

Doerthe Adriana Andreae, MD, PhD is an allergist-immunologist and physician-scientist serving as Associate Professor (Clinical) of Dermatology and Adjunct Associate Professor of Pediatrics at the University of Utah. She provides comprehensive clinical care for patients of all ages with allergic and immunologic disorders at the Farmington Health Center in Salt Lake City. Education & Training: MD and PhD — Charité Universitätsmedizin Berlin, Germany Residency in Pediatrics — St.-Josefskrankenhaus, Freiburg, Germany & Elmhurst Hospital/Mount Sinai Services, New York City Fellowship in Allergy & Immunology — Icahn School of Medicine at Mount Sinai, New York City Board Certifications — American Board of Allergy & Immunology; American Board of Pediatrics Research Interests: Dr Andreae’s translational research program centres on two pillars: (1) Food allergy and primary immunodeficiency , investigating immunopathogenesis, novel diagnostics, and long-term therapeutic strategies; and (2) Health-care disparities and bias , examining the impact of patient prejudice on minoritized physicians and the broader implications for equitable care delivery. Publications & Impact: Since 2010 she has authored >25 peer-reviewed articles, systematic reviews, book chapters and editorials. Her work spans high-impact journals such as J Allergy Clin Immunol , Cochrane Database Syst Rev , Pediatrics and Frontiers in Public Health . Recurring themes include evidence-based prevention of chronic post-surgical pain, innovative peptide-microarray technologies for allergen epitope mapping, and clinical trials evaluating swallowed topical corticosteroids for eosinophilic esophagitis. Scientific Recognition: While no specific named awards are enumerated, sustained publication in premier journals, repeated Cochrane authorship, and invited book chapters signal significant scholarly esteem in allergy, immunology and anesthesiology communities. Clinical Practice & Mentorship: Dr Andreae evaluates and manages a broad spectrum of disorders including asthma, allergic rhinitis, atopic dermatitis, drug and insect allergies, anaphylaxis, urticaria, angioedema and complex immunodeficiencies. She is passionate about training the next generation and is actively involved in resident and fellow education, though individual mentees are not named in the provided text. Laboratory & Collaborative Teams: Her early research was conducted in the renowned food-allergy laboratory at Mount Sinai; she continues to collaborate on multi-centre studies and quality-improvement initiatives aimed at reducing health-care disparities.

• Machine Learning
• Bioinformatics
• Software Engineering
• +۳ مورد دیگر

William Andreopoulos serves as an Assistant Professor in the Department of Computer Science at San José State University's College of Engineering. With a strong interdisciplinary background spanning computer science, bioinformatics, and molecular biology, he bridges computational methods with biological applications. His academic journey has taken him through prestigious institutions including Lawrence Berkeley National Laboratory, Columbia University, and TU Dresden. Ph.D. in Computer Science and Engineering, York University, Toronto, Canada (2006) M.Sc. in Computer Science, University of Toronto, Canada (2001) B.Sc. in Computing and Software, McMaster University, Canada (1999) Dr. Andreopoulos specializes in applying machine learning and computational approaches to biological problems, with particular emphasis on genomics, metagenomics, and bioinformatics. His research spans fungal genomics, microbial community analysis, plasmid identification, and the development of tools for omics data integration. He has extensive experience working with environmental data as well as cancer datasets from PCAWG and TCGA projects. His publication record reveals a strong interdisciplinary focus, with recent work spanning from fungal genomics and microbial identification to natural language processing applications. The research demonstrates consistent integration of machine learning techniques across diverse biological contexts, with notable contributions in developing computational pipelines for high-throughput sequencing data analysis. As an educator, Dr. Andreopoulos has mentored numerous graduate students through CS297/CS298 projects and CS280/CS180 courses, with students working on bioinformatics-related computational projects. His professional experience includes 8 years as a data scientist at the Joint Genome Institute, Lawrence Berkeley National Laboratory, where he developed software pipelines for automated processing of high-throughput sequencing data. His laboratory focuses on computational biology projects that require expertise in Java, Python, Linux command line, machine learning libraries, and data visualization tools. Current research directions include strain separation in microbial communities, plasmid identification, 16S sequence reconstruction, and deep learning applications to molecular biology problems.

Alena Vishinaمشاهده پروفایل

پژوهشگر

• Materials Science
• Magnetism
• Permanent Magnets
• +۵ مورد دیگر

Alena Vishina is a Researcher at Uppsala University's Department of Physics and Astronomy, specifically within the Materials Theory division. She maintains her office at the Ångströmlaboratoriet, Regementsvägen 10 in Uppsala, Sweden (Postal address: Box 516, 752 37 UPPSALA). Dr. Vishina's research primarily focuses on magnetic materials , with particular emphasis on rare-earth-free permanent magnets . Her work integrates high-throughput computational methods , data-mining approaches , and ab-initio calculations to discover and characterize new magnetic materials. She has made significant contributions to understanding the electronic structure and magnetic properties of various compounds including Fe-based, Mn-based, and Ce-based materials. Analysis of her publication record from 2012-2024 reveals a consistent research trajectory in computational materials science with increasing focus on rare-earth-free permanent magnets since 2020. Her work demonstrates strong interdisciplinary connections between condensed matter physics, materials science, and computational methods, with applications in sustainable magnet technology that avoids critical rare-earth elements. While no specific scientific awards are documented in the available information, her research has garnered attention with multiple publications in high-impact journals including Physical Review B, Acta Materialia, and Journal of Alloys and Compounds. Dr. Vishina collaborates extensively with researchers at Uppsala University, including Olle Eriksson, Heike C. Herper, Daniel Hedlund, and Vitalii Shtender, among others. Her work appears to be supported by computational resources at Uppsala University, though specific grant information is not provided in the available text. Her research is conducted within the Materials Theory group at Uppsala University's Department of Physics and Astronomy, which appears to specialize in computational approaches to materials science with emphasis on magnetic properties and electronic structure calculations.

Mohamed Eid Ahmed Safyمشاهده پروفایل

پژوهشگر ارشد

• Theoretical Chemistry
• Catalysis
• Computational Chemistry
• +۲ مورد دیگر

Mohamed Eid Ahmed Safy is a Research Fellow in the Department of Chemistry at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His research centers on computational approaches to catalysis, with emphasis on sustainable chemical processes including CO 2 conversion and methanol synthesis. His primary research interests include: Theoretical Chemistry Catalysis Computational Chemistry CO 2 Reduction Machine Learning in Chemistry Analysis of his 2022-2025 publications reveals a consistent focus on integrating Density Functional Theory (DFT) with microkinetic modeling and machine learning to develop catalysts for CO 2 hydrogenation. His work explores ligand effects in palladium catalysis, reaction mechanisms in Ru-PNP pincer complexes, and computational strategies to move beyond Ru-MACHO systems for methanol production, demonstrating strong interdisciplinary methodology. Scientific Awards: No awards listed in source materials. Advising and Grants: As a Research Fellow engaged in doctoral research, Safy has no listed advisees. Source text provides no grant information. Safy collaborates within the Catalysis and Organic Chemistry research group and the Hylleraas Centre for Quantum Molecular Sciences, leveraging advanced computational infrastructure for quantum chemistry simulations and catalyst design projects targeting carbon-neutral chemical synthesis.

Brian J Kokenspargerمشاهده پروفایل

دانشیار

• Digital Humanities
• High Throughput Computing
• Digital Storytelling
• +۵ مورد دیگر

Brian J. Kokensparger is an Associate Professor in the Computer Science, Design, and Journalism department at Creighton University's College of Arts and Sciences . His research focuses on Digital Humanities , High Throughput Computing , and Computer Science Education , with particular emphasis on leveraging computational tools for literary analysis and pedagogical innovation. Specializes in integrating Shakespearean texts with programming education Develops tools for digital storytelling and character path visualization Focuses on assessment methodologies in computing courses Kokensparger’s recent publications (2016–2021) reveal trends in humanities-driven programming pedagogy , utilizing Shakespearean corpora to teach decision structures and computational thinking. His work bridges literary analysis with educational technology , emphasizing blended learning and student-centered assessment . Notable themes include agent-based modeling for authorship attribution and theatrical software engineering . As a presenter at conferences like Digitorium and SIGCSE , he advocates for interdisciplinary collaboration between computer science and the humanities, while exploring ethical dimensions of digital activism . His research also addresses student placement accuracy and violence prevention training in higher education.

Kevin Williamsمشاهده پروفایل

استاد

• Hedgehog pathway dysregulation in cancer
• Pharmacologic profiling of cancer cells
• Novel hedgehog pathway inhibitors
• +۴ مورد دیگر

Dr. Kevin Williams is a Professor in the Department of Pharmaceutical Sciences at North Carolina Central University (NCCU), where he serves as the Merck Professor in Integrated Biosciences at the Biomanufacturing Research Institute and Technology Enterprise (BRITE). He is also a member of the Lineberger Comprehensive Cancer Center at UNC and an associate member of the Duke Cancer Institute. Dr. Williams joined NCCU in 2007 as an associate professor and was promoted to full professor in 2018. Dr. Williams earned his Ph.D. in Biochemistry from the University of Cambridge, UK in 1988 and his B.Sc. in Biochemistry (upper second-class honors) from the University of Bath, UK in 1984. Prior to joining NCCU, he spent 15 years in the biopharmaceutical industry, including 6 years at Biogen. Dr. Williams' research primarily focuses on the Hedgehog signaling pathway and its dysregulation in cancer. His laboratory investigates Hedgehog pathway dysregulation in cancer, pharmacologic profiling of cancer cells, the identification and development of novel hedgehog pathway inhibitors, and the role of the hedgehog pathway in alcohol-induced birth defects. He also has significant research interests in Inflammatory Breast Cancer (IBC), including identifying potential therapeutics and raising awareness of this aggressive disease. His publication record demonstrates consistent research activity across multiple disciplines, with recent work spanning cancer therapeutics, developmental biology, and health disparities research. His most recent publications (2022-2025) show a strong focus on hedgehog pathway modulation, inflammatory breast cancer research, and racial disparities in cancer outcomes, with increasing incorporation of computational and AI/ML approaches in drug discovery. NCCU Merck Distinguished Professorship in Integrated Biosciences, 2020 American Association Cancer Research MSI Faculty Scholar in Cancer Research Award (2009, 2010, 2012) Dr. Williams has been continually funded since joining NCCU, with grants from NIH, DoD, Susan G. Komen, and NIIMBL. He leads or co-leads several significant research projects, including the NIH/NIHMD R01 MD017405-01 project addressing health disparities by targeting geographical ancestry-driven variants of immunity. His lab also maintains a strong focus on student training and workforce development, particularly for underrepresented groups in biomedical research. Dr. Williams directs research activities at the BRITE Institute, where his laboratory employs various techniques including high-throughput screening, molecular biology, and in vitro and in vivo cancer models. He collaborates extensively with researchers at UNC and Duke, particularly through the NCCU-DUKE Cancer Disparities Translational Research Partnership.

Jane A. Fosterمشاهده پروفایل

دانشیار

• Gut Microbiota and Mental Health
• Immune-Brain Interactions
• Neurodevelopment
• +۵ مورد دیگر

Dr. Jane A. Foster serves as an Associate Professor in the Department of Psychiatry and Behavioural Neurosciences at McMaster University, where she has been appointed since 2003 and promoted in 2008. She additionally holds research appointments as a Scientific Associate at the University Health Network (Toronto, since 2013) and as a Scientist at St. Michael's Hospital (since May 2016). Her academic foundation includes a Ph.D. from the University of Toronto (1996). Her research program investigates the critical interplay between gut microbiota, immune responses, and neural mechanisms in shaping neurodevelopment, behavior, and mental health outcomes. Focusing on how these interactions contribute to psychiatric conditions including neurodevelopmental disorders, anxiety, and depression, her work employs advanced behavioral assessment tools in a CFI-funded lab for high-throughput analysis across the lifespan. Key methodologies include automated measurement of communication, motor control, developmental milestones, and anxiety-like behaviors. Dr. Foster actively contributes to two major translational research networks: the Province of Ontario Neurodevelopmental Disorders Network (POND) and the Canadian Biomarker Integration Network in Depression (CAN-BIND). Her work receives substantial funding from NSERC, CIHR, Brain Canada, and the Ontario Brain Institute, supporting the development of tools for measuring behavioral and molecular mechanisms from postnatal stages through adulthood. No scientific awards were documented in the provided text. The Foster lab operates a state-of-the-art behavioral unit at McMaster University featuring Canada Foundation for Innovation (CFI) infrastructure. This facility enables comprehensive longitudinal studies of behavioral phenotypes including approach-avoidance dynamics, repetitive behaviors, and learning paradigms, with integrated molecular analysis capabilities spanning developmental milestones to adult behavioral patterns.

• Molecular Biology
• Genetics
• Cancer Research
• +۲ مورد دیگر

Xin Li serves as a Guest Researcher in the Sørensen Group at the Center for Integrative Organ Disease (iMED), University of Copenhagen, based at the Biotech Research & Innovation Centre (BRIC) in Copenhagen, Denmark. Contactable via xin.li@bric.ku.dk and +4535332020, Li contributes to interdisciplinary biomedical research within a leading European academic institution. Research focuses on molecular mechanisms of genome integrity, oncogenesis, and therapeutic innovation. Key areas include tumor-suppressive functions of myosin proteins, antibody-drug conjugate development for precision payload delivery, and CRISPR-based genomic variant analysis. This work bridges fundamental cell biology with translational applications in cancer and genetic disorders, emphasizing interdisciplinary approaches across molecular oncology and pharmacology. Recent publications reveal a cohesive trajectory in targeting disease mechanisms through advanced molecular tools, with increasing emphasis on therapeutic translation from basic discoveries. The research integrates structural biology, genetic engineering, and drug delivery systems to address unmet clinical needs in oncology and genomic medicine. No scientific awards were documented in the provided information. No details regarding student advising, supervisory roles, or research grant funding were specified in the available text. Li operates within the Sørensen Group at iMED, a collaborative research environment focused on integrative disease mechanisms and therapeutic development. This group leverages BRIC's infrastructure for cutting-edge studies in genome stability, molecular oncology, and novel biopharmaceutical platforms.

Salam Traboulsiمشاهده پروفایل

پژوهشگر

• Smart City
• 5G Applications
• Indoor Positioning Systems
• +۲ مورد دیگر

Dr. Salam Traboulsi is a Researcher at Stuttgart University of Applied Sciences (HFT Stuttgart), affiliated with the Competence Center for Digitalization in Research, Teaching & Economics since 2019. She holds a PhD in Computer Science from the University of Toulouse, France (2008). Her work bridges technology and urban innovation, with a focus on developing scalable solutions for modern cities. Research Focus: Dr. Traboulsi specializes in: Smart City ecosystems integrating IoT and 5G Precision technologies for urban positioning and navigation Data management frameworks for large-scale sensor networks Open-source IoT platforms for building efficiency and environmental monitoring Cloud and grid computing infrastructures Key Projects: She leads/contributes to: iCity 2: UDigiT4iCity – Developing urban digital twins using IoT building data and 5G sensor networks iCity 1 – Foundational research on intelligent urban infrastructure systems Publication Trends: Her recent work (2020-2024) emphasizes 5G-enabled urban solutions, including fleet management optimization, indoor positioning systems, and IoT analytics for smart buildings. Earlier research (2005-2013) focused on distributed computing, storage virtualization, and information retrieval systems, demonstrating consistent expertise in large-scale data infrastructure. Academic Engagement: She serves as a scientific reviewer for journals and conferences and teaches in the surveying study area at HFT Stuttgart.

David Becerra Alonsoمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +۵ مورد دیگر

David Becerra Alonso is a Full Professor in the Department of Quantitative Methods for Economics and Business at Loyola University Andalusia. With a strong interdisciplinary background spanning physics, computing, and bioinformatics, he bridges quantitative methods with practical applications across multiple domains including social sciences, healthcare, and education. His research expertise encompasses machine learning, artificial intelligence, natural language processing, and dynamical systems. Dr. Becerra Alonso applies these computational methods to address critical social issues, particularly in gender-based violence prevention through intimate partner femicide risk assessment, media bias detection, and educational technology development. His recent publications demonstrate a strong focus on applying AI to social challenges, with multiple 2024-2025 papers addressing media bias detection and intimate partner femicide prediction using advanced computational techniques. His work spans both theoretical machine learning contributions and practical applications in public health, journalism, and education. Principal Investigator for Sapiens project (2021-2023) on autonomous aquatic vehicle networks Researcher in Disorders of Consciousness (DoC) project (2018-2021) with European Commission Researcher in AIPE project (2024-2025) on AI for physical education of vulnerable adolescents Dr. Becerra Alonso supervises doctoral students working on computational approaches to social issues, including femicide analysis, sustainable development goal classification, and mathematics education in distance learning contexts. His leadership in the Quantitative Research Methods and Applications (MICA) research group supports interdisciplinary collaboration across quantitative methods and applied domains.

Jan Bohlenمشاهده پروفایل

استاد پژوهشی

• Materials Science
• Magnesium Alloys
• Mechanical Properties
• +۳ مورد دیگر

Dr. Jan Bohlen is a Research Professor at Helmholtz-Zentrum Hereon, serving as a Senior Scientist in the Magnesium Innovations Centre (MagIC). His research spans magnesium alloys, corrosion science, and materials processing, with a strong focus on biomedical and lightweight structural applications. He investigates alloy design, microstructure-property relationships, and advanced manufacturing techniques like extrusion and rolling. Bohlen's recent work emphasizes machine learning-driven modeling for material behavior prediction and process optimization. His publications highlight trends in biodegradable Mg/Zn alloys, corrosion mitigation, and thermomechanical processing, aiming to enhance performance for medical implants and industrial components. He leads research at MagIC, collaborating on projects involving alloy development, dieless wire drawing, and texture control. No awards or student advisories are documented in the provided text.

Nicolas Lehrbachمشاهده پروفایل

استادیار

• Protein Degradation
• Proteasome Regulation
• Aging
• +۴ مورد دیگر

Dr. Nicolas Lehrbach is an Assistant Professor in the Basic Sciences Division at Fred Hutchinson Cancer Center. His research focuses on cellular protein degradation pathways, particularly proteasome regulation, and their roles in aging, cancer, neurodegenerative diseases, and rare genetic disorders like NGLY1 deficiency. He leads the Lehrbach Lab, which employs C. elegans as a primary model organism for genetic screens and molecular analyses. Education: PhD, University of Cambridge (2010) MPhil, Developmental Biology, University of Cambridge (2006) BSc (Hons), University of Sydney (2004) Research Focus: Dr. Lehrbach investigates how cells regulate protein degradation via the proteasome and the SKN-1A/Nrf1 transcription factor. His work aims to uncover mechanisms that could lead to therapies for conditions where proteasome dysfunction occurs, such as neurodegeneration or cancer resistance. Key areas include: Dynamic control of proteasome activity in health and disease Genetic compensation pathways in NGLY1 deficiency Proteasome inhibitor resistance in cancer Aging and protein homeostasis collapse Publications: His 15 most recent articles (2013–2025) emphasize proteasome regulation, SKN-1A/Nrf1 signaling, and C. elegans genetics. Trends include molecular analyses of protein degradation, stress response pathways, and genetic screens for disease mechanisms. Awards: No scientific awards are mentioned in the provided text. Lab & Team: The Lehrbach Lab develops C. elegans reporters for high-throughput screens to identify novel regulators of protein degradation. Current projects explore therapeutic strategies for proteasome-related disorders.