جستجوی استاد راهنمای دانشگاهی

Enkelejda Mihoمشاهده پروفایل

استاد

• Digital Life Sciences
• Medical Informatics
• Artificial Intelligence in Healthcare
• +۴ مورد دیگر

Prof. Enkelejda Miho is a Professor of Digital Life Sciences at the School of Life Sciences, FHNW, leading the aiHealthLab. Her work bridges computer science/AI with life sciences, focusing on drug discovery, personalized medicine, and immunology. She holds roles as Team Leader at aiHealthLab and Group Leader at the Swiss Bioinformatics Institute. Research Interests : She applies machine learning to analyze immune repertoires, antibody engineering, and autoimmunity diagnostics. Her lab develops computational tools like the RWD-Cockpit for real-world data analysis and synthetic antibody-antigen models (Absolut!) to advance biotherapeutics. Her work on dengue immunity and monoclonal gammopathies highlights translational applications. Key Projects : The aiHealthLab focuses on AI-driven diagnostics and therapeutics. Her contributions include AI frameworks for antibody specificity prediction, age-related immune repertoire changes, and large-scale network analysis of antibody repertoires. Labs/Teams : Leads aiHealthLab and collaborates with the Swiss Bioinformatics Institute, integrating computational and experimental immunology.

Marko Lovricمشاهده پروفایل

استادیار

• Forest Policy
• Ecosystem Services
• Bioeconomy
• +۵ مورد دیگر

Marko Lovric is an Assistant Professor at Wageningen University & Research's Department of Forest and Nature Conservation Policy. He holds a PhD in forest policy from the University of Freiburg, Germany. His expertise spans forest policy, environmental governance, data analysis, and AI applications in forestry. He has 17 years of research experience, focusing on European ecosystem services, bioeconomy transitions, forest certification, and international forest policy formulation. Education: PhD in Forest Policy (University of Freiburg), prior roles include senior researcher at the European Forest Institute and assistant at the University of Zagreb's Faculty of Forestry. Research Interests: Marko’s work addresses forest policy implementation, ecosystem service valuation, bioeconomy modeling, and international trade dynamics. He employs quantitative methods, big data, and network analysis to explore governance innovations and sustainable forest management strategies. Projects: He coordinated the H2020 SINCERE project on forest ecosystem services and the Horizon Europe project on forest research ecosystems. Current projects include INTERCEDE, focusing on future forest incomes and ecosystem services. Teaching: Involves MSc courses in forest policy, including internships and thesis supervision in forest conservation policy. Labs/Teams: Active in Wageningen’s Forest and Nature Conservation Policy group, contributing to interdisciplinary projects on governance and bioeconomy transitions.

Olga Vitekمشاهده پروفایل

استاد

• Statistical Science
• Machine Learning
• Mass Spectrometry
• +۵ مورد دیگر

Olga Vitek is a Professor at Northeastern University's Khoury College of Computer Sciences, with affiliated faculty status in the Department of Chemistry and Chemical Biology. Her research bridges statistical science and machine learning with mass spectrometry-based proteomics and systems biology, focusing on developing open-source software tools like MSstats and Cardinal for quantitative proteomic analyses and imaging. Education: PhD in Statistics (Purdue University), Postdoc at the Ruedi Aebersold Lab (Institute for Systems Biology) Leadership: Director of the Barnett Institute for Chemical and Biological Analysis Her work emphasizes: Statistical experimental design Signal detection in complex mass spectrometry data Causal inference in biomolecular networks Reproducible computational infrastructure Recent publications highlight advancements in quantitative proteomics , mass spectrometry imaging , and causal modeling , with applications spanning cancer research, immunology, and clinical diagnostics. Notable trends include deep learning integration for image analysis and open-source tool development for scalable, transparent workflows. Scientific accolades: Elected Fellow of the American Statistical Association 2021 Gilbert S. Omenn Computational Proteomics Award NSF CAREER award Chan-Zuckerberg Essential Open-source Software award Senior Member, International Society for Computational Biology

Frank Gloriusمشاهده پروفایل

استاد

• Photocatalysis
• C-H activation
• Arene hydrogenation
• +۷ مورد دیگر

Frank Glorius is a Professor of Organic Chemistry at the University of Münster, Germany. With a career spanning multiple institutions, he focuses on developing innovative catalytic methods for organic synthesis and materials science. Born: 1972, Germany Education: PhD in Organic Chemistry (summa cum laude), University of Basel & Max-Planck-Institut für Kohlenforschung Key Research Areas: Photocatalysis, C-H Activation, Organocatalysis, Data Science, and N-Heterocyclic Carbenes His recent work emphasizes photocatalysis , machine learning for reaction modeling , and catalytic hydrogenation . He has pioneered interdisciplinary approaches combining organic chemistry with computational methods. Scientific Awards: Clarivate Highly Cited Researcher (2014-2021) ERC Advanced Grant (2018) Gottfried Wilhelm Leibniz-Award (2013) Alfried Krupp Prize for Young University Teachers (2006) He leads the Glorius Group, which organizes symposia on photochemistry and data science, and engages in industry-academia collaborations through the Forschung der Chemischen Industrie symposium.

Peter K. Bolمشاهده پروفایل

استاد

• Chinese History
• Geospatial Analysis
• Historical GIS
• +۲ مورد دیگر

Peter K. Bol is the Charles H. Carswell Professor of East Asian Languages and Civilizations at Harvard University. His research focuses on China's cultural elites from the 7th to 17th centuries, geospatial analysis, and digital humanities projects including the China Historical Geographic Information Systems (CHGIS) and China Biographical Database (CBDB). His research interests include: Intellectual transitions in Tang and Sung China Neo-Confucianism and its historical context Geospatial analysis in historical research Biographical database development Digital approaches to Chinese history Bol has led significant university-wide initiatives including the establishment of Harvard's Center for Geographic Analysis in 2005 and has served as Vice Provost (2013-2018) overseeing HarvardX, the Harvard Initiative in Learning and Teaching, and online learning research.

• Digital Health
• Health Informatics
• Healthcare Transformation
• +۴ مورد دیگر

Kerryn Butler-Henderson is an Adjunct Professor in the Department of Health and Biomedical Sciences at RMIT University. Her research focuses on digital health transformation, healthcare informatics, and workforce education. She actively contributes to understanding the integration of artificial intelligence, predictive analytics, and electronic health records (EHR) into healthcare systems. Her work emphasizes improving clinical outcomes through data-driven approaches and addressing challenges in workforce digital literacy. She holds an ORCID identifier (0000-0002-6082-2108) and is open to supervising PhD and Masters students. Research interests include: Learning health systems and AI applications Prediction modeling for musculoskeletal disorders Digital health workforce development Value-based healthcare frameworks Educational innovations in nursing and healthcare Key publications from 2024-2025 explore topics like EHR generalizability, digital health literacy measures, and global digital health workforce roles. Her interdisciplinary collaborations span occupational health, gerontology, and healthcare accounting. Dr. Butler-Henderson is engaged in curriculum development for digital health competencies and has contributed to national surveys on nursing education trends. She maintains strong industry connections through RMIT's Health and Biomedical Sciences research networks.

Coral Dandoمشاهده پروفایل

استاد

• Forensic Cognition
• Eyewitness Memory
• Deception Detection
• +۷ مورد دیگر

Professor Coral Dando is a Professor of Psychology at the University of Westminster, leading research in forensic cognition and investigative interviewing. With a background as a London Police Officer, she completed a BSc (Hons) Psychology and PhD in Applied Forensic Cognition. She is a Chartered Psychologist, National Teaching Fellow, and Registered Forensic Psychologist. Her research focuses on eyewitness memory, deception detection, and cross-cultural interviewing, with a particular emphasis on improving investigative methods in security and forensic contexts. Her academic roles include teaching forensic psychology modules (e.g., detecting deception, investigative interviewing) and supervising PhD students researching topics like virtual environments in interviews and neurodivergent credibility. She has secured significant research funding from entities like the Home Office, FBI, and CPNI, totaling over £2M across projects addressing insider threats, county lines exploitation, and aviation security. Key Research Themes: Eyewitness reliability, cognitive interviewing techniques, cross-cultural persuasion, and insider threat detection. Grants: Includes a 2024 €97,000 COST grant for implementing the Mendez Principles and a 2016 $469,000 FBI-funded study on intelligence interviewing. Professor Dando’s work bridges academia and practice, training professionals from police forces, security agencies, and NGOs. She contributes to policy development and has authored over 100 peer-reviewed publications, including seminal works on the cognitive interview and WAFA (Witness-Aimed First Account) for neurodivergent individuals. Her research emphasizes ethical, context-aware methodologies to enhance justice outcomes.

• Geometric Model Theory
• Algebraic Geometry
• Additive Combinatorics
• +۳ مورد دیگر

Amador Martin-Pizarro is a Professor in the Department of Mathematical Logic at the Albert-Ludwigs-Universität Freiburg. His research focuses on geometric model theory and its applications to algebraic geometry, additive combinatorics, and number theory. He has contributed to foundational work on supersimplicity, stability, and definable groups in simple theories. Martin-Pizarro led the Freiburg group in the binational ANR-DFG project GeoMod. His work bridges model theory with algebraic structures, exploring connections between combinatorial patterns and logical frameworks. Recent studies include applications of model theory to arithmetic progressions, pseudofinite groups, and equational theories of fields.

• Finance
• Quantitative Finance
• Risk Management
• +۳ مورد دیگر

Frédéric Vrins is a Professor at the Louvain School of Management (LSM) , UCLouvain , affiliated with the Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM) and Louvain Finance (LFIN). His work bridges theoretical and applied finance, with a focus on risk modeling, portfolio optimization, and machine learning applications. His research interests include: Quantitative Finance: Derivatives pricing, stochastic processes, and model calibration. Risk Management: Credit concentration risk, recovery rates, and wrong-way risk in financial markets. Portfolio Optimization: Mean-variance strategies, diversification metrics, and robustness under parameter uncertainty. Machine Learning in Finance: Applications to recovery rate prediction and option pricing frameworks. Recent publications highlight trends in: Credit risk modeling for Collateralized Loan Obligations (CLOs) and consumer credit. Machine learning integration in derivatives pricing and portfolio construction. Stochastic methods for Brownian bridges, CDS spreads, and recovery rates. Empirical studies on Loan-to-Value policies and business cycle impacts. Affiliations and locations: Louvain School of Management (LSM) - Building B, Chaussée de Binche 151, 7000 Mons Louvain Finance (LFIN) - Traverse d'Esope 1, 1348 Louvain-la-Neuve Louvain School of Management (LSM) - BATA Building, Chaussée de Binche 151, 7000 Mons

Sophie Pettitمشاهده پروفایل

مدرس ارشد

• Mental Health Services
• Psychology
• Geriatric Mental Health
• +۳ مورد دیگر

Dr. Sophie Pettit is a Senior Lecturer in Psychology and Director of Student Experience at Queen Mary University of London. She is affiliated with the School of Biological and Behavioural Sciences and the Psychology department. Her research focuses on mental health service accessibility, particularly for older adults, and examines determinants like age, gender, and socioeconomic deprivation. She has also investigated coercive practices in secure mental health settings and the impact of cancer treatments on diabetes management. Current projects include improving psychological therapy access for older populations. Her teaching includes courses such as Essential Skills for Psychologists and Health Psychology . She has collaborated across disciplines, publishing in journals like British Journal of General Practice and PLOS MEDICINE . Her work often combines quantitative and qualitative methods to address systemic challenges in healthcare delivery. Key research themes include mental health service equity, patient outcomes in secure environments, and interdisciplinary approaches to public health. She contributes to policy discussions on optimizing mental health care delivery through evidence-based strategies.

• Economics
• Macroeconomics
• Microeconomics
• +۲ مورد دیگر

Matt Soosalu serves as a Lecturer in Economics, currently instructing undergraduate courses including Intermediate Macroeconomics (Econ 2102), Introductory Statistics for Economics (Econ 2210), and Intermediate Microeconomics (Econ 2030) across Summer 2024, Fall 2024, and Winter 2025 terms. His academic engagement spans active course instruction since Summer 2024 following a five-year tenure as a Teaching Assistant for diverse economics curricula. His pedagogical expertise covers core economic disciplines, with demonstrated proficiency in quantitative methods through courses like Econometrics and Research Methods. Teaching responsibilities encompass both foundational undergraduate instruction (e.g., Introduction to Macroeconomics, Managerial Economics) and advanced topics including International Trade Theory and Honours-level seminars. Professional activities reflect specialization in applied economic theory, particularly in microeconomic systems, macroeconomic modeling, and statistical analysis frameworks essential for economic research.

Vito Latoraمشاهده پروفایل

استاد

• Complex Systems
• Network Science
• Applied Mathematics
• +۱۳ مورد دیگر

Vito Latora is a Professor of Applied Mathematics and Chair of Complex Systems at the School of Mathematical Sciences, Queen Mary University of London, and also holds the position of Professor of Theoretical Physics at the University of Catania. He leads the Complex Systems and Networks Group, driving cutting-edge research at the intersection of physics, mathematics, and interdisciplinary sciences. His research focuses on complex systems, particularly the structure and dynamics of networks, including multiplex, temporal, and higher-order networks such as simplicial complexes and hypergraphs. He explores applications in social, biological, financial, and cognitive systems, with recent work on creativity, innovation, and success through network analysis. The 15 most recent publications reveal a strong trend in advancing network theory beyond pairwise interactions, with a focus on higher-order structures, memory effects, synchronization, and epidemic spreading. His work combines rigorous mathematical modeling with real-world applications, often published in high-impact journals like Nature Communications , Physical Review Letters , and Science Advances . Dual communities in spatial and biological networks Modeling epidemics with limited detection resources Synchronization via higher-order and directed interactions AI-driven financial risk management Evolutionary games on hypergraphs Interdisciplinary success and funding dynamics Vito Latora has mentored several researchers who appear as co-authors, including Iacopini, Williams, Di Bona, and Lacasa. While specific grants are not listed, his collaborative projects with neuroscientists and anthropologists, along with frequent publications, suggest active funding. He is involved in major scientific events such as NetSci 2023, indicating leadership in the network science community. He leads the Complex Systems and Networks Group at Queen Mary, fostering a collaborative environment for studying complex systems through theoretical, computational, and data-driven approaches.

Etienne Bensonمشاهده پروفایل

استاد پژوهش

• Environmental History
• History of Science
• Science and Technology Studies
• +۳ مورد دیگر

Etienne Benson is the Director of Department II (Knowledge Systems and Collective Life) at the Max Planck Institute for the History of Science in Berlin. His work bridges the history of science, environmental history, and science and technology studies, focusing on the political and scientific evolution of environmentalism in the U.S. and Europe since the 18th century. He holds a doctorate from MIT and has held academic roles at Harvard, the University of Pennsylvania (where he continues as a visiting professor), and the Rachel Carson Center. Education: Ph.D. in History, Anthropology, and Science, Technology and Society (MIT, 2008) Past Roles: Postdoctoral Fellow (Harvard), Research Scholar (MPIWG), Lecturer (University of Chicago, NYU-Berlin), Visiting Scholar (Rachel Carson Center) His research examines how scientific knowledge production intersects with environmental politics, data infrastructures, and conservation practices. Current projects include analyzing the rise of quantitative landscape science and the ethical/legal frameworks of biodiversity research. He has authored two influential books on environmental technologies and histories of data collection. Recent publications highlight the co-creation of scientific communities and data systems, from early 20th-century bird banding to modern animal movement repositories like Movebank. His work situates environmental science within broader socio-political contexts, emphasizing the role of data in shaping conservation policies and scientific identities. The department he leads, Knowledge Systems and Collective Life , collaborates with global institutions and hosts initiatives like the International Max Planck Research School. His team explores historical epistemologies of planetary modeling and the interplay between science, law, and ethics in biodiversity conservation, using archival and digital humanities methods.

• Microfluidics
• Biomedical Engineering
• Circulating Tumor Cells (CTCs)
• +۱۲ مورد دیگر

Brian Kirby is the Meinig Family Professor in the Department of Mechanical Engineering at the College of Engineering, Cornell University. He is a leading researcher in microfluidics, biomedical engineering, and cancer diagnostics, with a strong emphasis on circulating tumor cells (CTCs), rare cell isolation, and biophysical forces in disease. His work bridges engineering, biology, and clinical medicine. Institution: Cornell University School: College of Engineering Department: Mechanical Engineering Rank: Professor Education: Stanford University, 2001 Brian Kirby's research focuses on developing and applying microfluidic technologies to solve biomedical challenges. His work centers on microfluidic rare cell capture , particularly circulating tumor cells (CTCs) , enabling early cancer detection and monitoring treatment response. He investigates biophysical forces such as shear stress and surface interactions in conditions like thrombosis and cancer metastasis. His lab also works on dielectrophoresis , acoustophoresis , and electrokinetics for cell separation and analysis. Additional interests include bioinstrumentation , lab-on-a-chip devices , and fluid mechanics in biological systems . His recent publications show a consistent focus on microfluidic diagnostics, cancer biophysics, and smart fluid systems. Articles span topics from CTC isolation in prostate and pancreatic cancers to thrombosis in medical devices and programmable viscosity metamaterials . The research integrates engineering design with clinical applications, often involving interdisciplinary collaboration. Scientific Awards: Creative Teaching Award, Cornell Center for Teaching Innovation Advising Award, College of Engineering, Cornell University, 2015 Research Award, College of Engineering, Cornell University, 2015 Brian Kirby is actively involved in advising and research mentorship. While specific student names are not listed in the provided text, his extensive publication record and leadership of a research group indicate active supervision of graduate students and postdoctoral researchers. His research is supported by grants related to cancer diagnostics, microfluidics, and biomedical engineering, though specific grant details are not provided. He has contributed to the development of novel microfluidic devices such as the GEDI (Geometrically Enhanced Differential Immunocapture) platform for CTC capture and functional analysis. Labs and Teams: Kirby leads a research laboratory at Cornell focused on microfluidics and biomedical instrumentation. His team develops and applies microfluidic platforms for clinical diagnostics, particularly in oncology and hematology. The lab collaborates with clinicians and scientists across disciplines to translate engineering innovations into medical applications.

Eric T. Andersonمشاهده پروفایل

استاد

• Pricing Strategy
• Retail Analytics
• Customer Loyalty
• +۵ مورد دیگر

Eric T. Anderson is the Polk Bros. Chair in Retailing and Professor of Marketing at Northwestern University's Kellogg School of Management. He serves as Chair of the Marketing Department and Director of the Kellogg-McCormick MBAi Program. Anderson holds a Ph.D. from MIT Sloan School of Management and has held academic positions at the University of Chicago and University of Rochester. His research focuses on pricing strategies, retail analytics, AI/ML applications, customer loyalty, and channel management. He teaches courses in pricing, retail analytics, and marketing strategy at Kellogg. Education: PhD in Management Science, MIT Sloan School of Management (1995) MS in Engineering-Economic Systems, Stanford University (1989) BS in Electrical Engineering, Northwestern University (1988) Research Interests: Anderson's work bridges quantitative and behavioral marketing. He explores pricing dynamics, retail innovation, and the impact of digital tools on consumer decisions. His recent studies analyze alternative data for credit scoring, backorder effects, and AI-driven analytics. His research has appeared in top journals like Management Science and Marketing Science . Teaching & Recognition: A four-time winner of the Sydney Levy Award for teaching excellence, Anderson is known for courses like Pricing and Retail Analytics. He advises Canadian Tire and LiftLab, and serves on editorial boards for Management Science and Journal of Marketing Research . His work often collaborates with industry, yielding practical insights for firms like FTD and NASCAR. Grants & Labs: Leads the Center for Global Marketing Practice at Kellogg. His research has been funded by the Marketing Science Institute and industry partnerships. Active in doctoral training, Anderson coordinates the Marketing Ph.D. program and mentors emerging scholars.