جست‌وجوی استاد و پژوهشگر

Hung Hoang Viet Nguyenمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Political Methodology
• Comparative Politics
• +۷ مورد دیگر

Hung Hoang Viet Nguyen is a Researcher at the Deutsches Institut für Erwachsenenbildung (DIE) in the department of Organization and program planning , where he has worked since 2024. Concurrently, he is completing his Doctorate in Political Science at the Bremen International Graduate School of Social Sciences (2019–2025). Education: Doctorate of Philosophy in Political Science, Bremen International Graduate School of Social Sciences (2019–2025) Master of Arts/Social Sciences in European Studies, University of Flensburg/University of Southern Denmark (2016–2018, double degree) Bachelor in International Relations, Ho Chi Minh City University of Social Sciences and Humanities (2011–2015) Research Focus: Nguyen specializes in computational approaches to political science, including text analysis, NLP, and machine learning. His work examines party systems, welfare policies, and methodological innovations in social science research. Key domains include: Quantitative analysis of political representation and social policies Machine learning applications for party positioning Cross-national studies of pandemic policy feedback Reproducibility frameworks for social sciences Publications: His recent articles demonstrate strong emphasis on computational reproducibility, political heuristics, and pandemic policy analysis, frequently employing advanced statistical modeling and cross-national datasets.

• Bioinformatics
• Genomics
• Non-coding RNA Research
• +۴ مورد دیگر

Michelle Scott is a Full Professor in the Department of Biochemistry and Functional Genomics at the University of Sherbrooke's Faculty of Medicine and Health Sciences, with a concurrent appointment in the Computer Science Department. Her academic trajectory shows progressive advancement from Assistant Professor (2011) to Associate Professor (2016), culminating in her current Professorship (2021). She directs an active research program focused on non-coding RNA biology, particularly small nucleolar RNAs (snoRNAs), with emphasis on their roles in ovarian cancer and transcriptomic regulation. Her research interests center on bioinformatic characterization of RNA networks , development of computational tools for RNA-seq analysis (including CoCo and snoDB), and molecular mechanisms of snoRNAs in cancer . Recent work employs low-structure-bias sequencing (TGIRT-seq) to overcome technical limitations in transcriptome analysis, revealing previously undetected non-coding RNAs and non-canonical snoRNA functions. Her group investigates snoRNA roles in alternative splicing regulation, cancer progression (particularly high-grade serous ovarian carcinoma), and nucleolar biology. The 15 most recent publications demonstrate strong focus on methodological innovation in transcriptomics (6 articles), snoRNA functional characterization (5 articles), and cancer genomics applications (4 articles). Key trends include addressing RNA-seq reproducibility issues, developing computational frameworks for multi-mapped read resolution, and expanding the functional landscape of snoRNAs beyond canonical roles. FRQS Senior Researcher Fellowship (2025) RECMUS Award for Supervision Excellence (2021) Tremplin Award for Early-Career Research (2021) Multiple FRQS Junior Fellowships (2017, 2021) Dean's List for Exceptional Performance (2015-2021) Scott has successfully mentored numerous graduate students (including 15 first-author publications by trainees) and secured substantial competitive funding, including a $$1\text{,}525\text{,}000$$ CIHR Project Grant (2021-2026) on proteogenomics approaches to define the human proteome. Her laboratory maintains strong affiliations with the CHUS Research Center and actively participates in the RiboClub network, which she has organized since 2014. Current work focuses on characterizing nucleolar snoRNAs in ovarian cancer and improving transcriptomic annotation frameworks.

• Implicit Social Cognition
• Implicit Bias Measurement
• Attitude Research
• +۵ مورد دیگر

Anthony Galt Greenwald is a prominent social psychologist and Professor of Psychology at the University of Washington, where he has been on faculty since 1986. He received his B.A. from Yale University in 1959, followed by an M.A. (1961) and Ph.D. (1963) from Harvard University. After completing his doctoral studies, he held a postdoctoral fellowship at the Educational Testing Service from 1963 to 1965. Greenwald is best known for developing the Implicit Association Test (IAT), a revolutionary method for measuring unconscious biases and implicit attitudes. His research has fundamentally changed how psychologists understand the relationship between conscious and unconscious cognition, particularly in the areas of prejudice, stereotypes, and self-esteem. He co-founded Project Implicit in 1998, a non-profit organization dedicated to research and education about implicit social cognition that has collected data from millions of participants worldwide. His work demonstrates that people can hold implicit biases that operate outside of conscious awareness or control, challenging traditional views of prejudice. This finding has significant implications for understanding discrimination across numerous domains including healthcare, education, legal contexts, and organizational settings. Greenwald's publications show a consistent focus on methodological rigor, with recent work addressing statistical practices, data transparency, and practical applications of implicit bias research. Greenwald's most influential publications include 'Measuring individual differences in implicit cognition: the implicit association test' (1998), 'Implicit social cognition: attitudes, self-esteem, and stereotypes' (1995), and the popular book 'Blindspot: Hidden Biases of Good People' (2013) co-authored with Mahzarin Banaji. His ongoing research continues to refine implicit bias measurement techniques and explore potential remedies for implicit bias. Greenwald has received numerous accolades for his work, including the Distinguished Scientific Contribution Award from the American Psychological Association. His research has been cited tens of thousands of times, making him one of the most influential psychologists of his generation. He remains active in research and continues to mentor students at the University of Washington.