Dr. Juan Eryn is an Assistant Professor at the Department of Operations & Information Systems, David Eccles School of Business, University of Utah. His research focuses on on-demand service platforms, operations management, game theory, and stochastic modeling. He holds a Ph.D. in Operations Research from National University of Singapore (2022) and a B.Sc. in Mathematics from Xi’an Jiaotong University (2016). Education Ph.D. in Operations Research and Analytics, National University of Singapore, 2017–2022 B.Sc. in Mathematics and Applied Mathematics (Elite Program), Xi’an Jiaotong University, 2012–2016 Research Interests Explores how on-demand business models reshape firm operations and sustainability, leveraging mathematical models and data analytics. Key areas include dynamic order allocation, platform labor markets, and hybrid workforce optimization. Awards NUS Research Fellowship Outstanding Research Scholarship (Xi’an Jiaotong University) “Fushi Shile” Scholarship (2013–2015) Second Prize, National Mathematical Contest in Modeling (2013) Teaching Instructor for DAO 1704 Decision Analytics (Spring 2020) and teaching assistant for MBA/Ph.D. courses in optimization and analytics.
Dr. Ban Pin Tan is a Mathematics Lecturer at the National University of Singapore (NUS), holding a PhD from NUS awarded in 1997. His research focuses on graph theory and digraph properties, particularly in kings in multipartite digraphs, eccentric digraphs, Roman domination, bondage numbers, and optimal orientations. He has contributed to over 8 peer-reviewed publications since 1995, addressing structural properties of tournaments and multipartite graphs. His work includes foundational studies on dominance hierarchies, 3/4-kings enumeration, and digraph orientation optimizations. Dr. Tan emphasizes teaching methodologies that foster deep conceptual understanding through systematic lecture notes, 'Pause and Think' sessions, and problem-solving exercises. He believes in inspiring students to apply mathematical principles to real-world challenges, aligning with Singapore's knowledge-based economy goals. His pedagogical approach combines rigorous problem sets with frequent quizzes to enhance critical thinking and engagement. His long-term research program includes: (1) studying kings-of-kings in semicomplete multipartite digraphs, (2) analyzing eccentric digraphs of various graph classes, (3) determining optimal orientations for graph families, (4) evaluating Roman domination and bondage numbers, and (5) exploring magic graph properties. Current investigations focus on eccentric digraphs, Roman domination extensions to digraphs, and magic graph characteristics.
Wen-Chi Liao is an Associate Professor of Real Estate and Assistant Dean (Undergraduate Academic) at NUS Business School. He holds a Ph.D. in Economics from the University of Minnesota and additional degrees from the University of Sydney and Soochow University. His research focuses on urban economics, housing markets, and applied spatial econometrics, with publications in leading journals like Journal of Urban Economics and Regional Science and Urban Economics . He serves as an Associate Editor for Journal of Regional Science and an affiliated Visiting Associate Professor at MIT Center for Real Estate. His research interests include the production and industrial organization of firms, impacts of trade policies (e.g., US-China trade war), and the application of econometric methods. Notable contributions include studies on land price regulation, housing market dynamics, and urban connectivity. He has led initiatives such as the NUS-URA Urban Planning 101 program and collaborated with the Asian Development Bank. Academic Awards: Recipient of Red Pen Award (2023), School Teaching Excellence Awards (2015, 2019), and Distinguished Instructor Award (University of Minnesota). Leadership roles include Deputy Director of the Institute of Real Estate Studies and leadership in AREUEA committees. Key projects include analyzing trade war impacts on Chinese housing markets and Southeast Asian urban economies, transport infrastructure spillover effects, and resource-exhausted city transitions. He emphasizes teaching excellence and student mentorship across academic and community service domains.
Dr. Le Xu serves as a Lecturer in the Department of Strategy and Policy at the National University of Singapore (NUS) Business School. Her academic appointments include coordination of the Business Economics specialisation and teaching roles in economic strategy, global economy, and managerial economics courses since 2018. Bachelor of Science in Mathematics, Northwestern Polytechnical University (2000-2004) Master of Science, Northwestern Polytechnical University (2004-2007) PhD in Economics, University of Manchester (2007-2011) Dr. Xu's research spans Managerial Economics , Chinese and Southeast Asian Economies , and Behavioral Decision Theory . Her work examines economic strategy through game theory frameworks while investigating consumer behavior, gift-giving psychology, and intertemporal choices. Recent publications reveal a strong focus on framing effects, AI-human interaction in sales contexts, and memory mechanisms in social relationships. Her publication trends indicate a sophisticated integration of traditional economic modeling with behavioral insights, particularly examining how cognitive biases affect market decisions and social interactions. The research demonstrates methodological diversity spanning experimental economics, field studies, and theoretical modeling. 10 Years Award (2021) 5 Years Award (2016) Dr. Xu actively mentors students while serving on the NUS Social Committee (2018-2020) and as Business Economics Coordinator (2021-2025). Her teaching philosophy emphasizes real-world application through contemporary business cases and economic indicators. She has taught courses including Managerial Economics, Global Economy, and Economics of Strategy, consistently receiving high student evaluations for her interactive methods and supportive approach. As a media commentator, she provides economic analysis for ThinkChina, The Straits Times, and CNA, leveraging expertise in China's economy and business environment. Her sixth-edition Chinese textbook on Managerial Economics (co-authored with Prof. I.P.L. Png) demonstrates significant scholarly impact.
Assoc. Prof. Zhang Yan is an Associate Professor of Marketing at the National University of Singapore (NUS) Business School. She holds a Ph.D. in Behavioral Science from the University of Chicago and has been at NUS since 2009, advancing to Associate Professor with tenure in 2017. Her research focuses on consumer judgment, decision-making, prosocial behavior, and digital marketing, with publications in top journals like Journal of Consumer Research and Journal of Marketing Research . Educational Background: Ph.D./MBA (University of Chicago, 2009), M.S. (Shanghai International Studies University, 2003), B.A. (Shanghai Jiao Tong University, 1999). Roles: PhD Program Coordinator for Marketing, Associate Editor of Journal of Business Research and Service Science . Teaching: Courses include Digital Marketing (Masters), Marketing Strategy (Undergraduate), and Consumer Research Methodology. Her research explores how consumers make decisions in both lab and field settings, with a focus on improving welfare for consumers and firms. Notable contributions include studies on gift vouchers in promotions, third-party effects in deception games, and the influence of mating cues on variety-seeking behavior. Service and Engagement: Served on editorial boards of Marketing Letters and reviewed for NSF and Israel Science Foundation grants. Active in academic talks across institutions like University of Chicago, Peking University, and Johns Hopkins University. Labs/Teams: Leads research in consumer behavior, advising PhD students and mentoring undergraduate thesis projects.
Dr. Yuting Zhu is an Assistant Professor at the Department of Marketing, NUS Business School, National University of Singapore. Her research bridges data-driven marketing strategy with machine learning and behavioral economics, supported by grants from Singapore’s Ministry of Education and the National Natural Science Foundation of China. She holds a PhD in Management from MIT (2022), an MA in Economics from the University of Rochester (2017), and dual degrees in Economics and Mathematics from Renmin University of China (2015). Research Interests: Data-Driven Salesforce Management Targeted Marketing and Matching Platforms Human-AI Interaction in Marketing Machine Learning and Game Theory Field Experiments in Real-World Platforms Recent Publications (2019–2025): Her work spans algorithm aversion in ridesharing platforms, group search theory, targeted marketing optimization, and platform design. She employs field experiments with 2 million customers and linear programming advances to solve large-scale marketing constraints. Collaborations: Co-authored studies with researchers like Huachen Lu (NUS), Xiaoyang Cao (NUS), and D. Simester (MIT) highlight cross-institutional partnerships.
Siew Heng Quah is an Adjunct Associate Professor at the Department of Strategy and Policy in the NUS Business School, National University of Singapore. He teaches corporate and digital strategy modules in the MBA program and supervises MBA consulting projects. Currently serves as a Senior Industry Transformation Advisor under Singapore Business Federation, assisting SMEs in their transformation journeys, having advised 20 companies. Holds board positions in manufacturing SMEs and has 10+ years as an Independent Director in listed companies. Education: B.Eng (Civil Engineering) and MBA from National University of Singapore. Research focuses on strategic execution frameworks, digital transformation strategies, and operational excellence methodologies. His consulting expertise spans IT services management, corporate strategy development, and business process optimization. Prior roles include CEO of Trusted Source (Temasek subsidiary), Vice President at Atos Origin (Asia Pacific), and Services Business Executive at IBM Singapore. Demonstrated leadership in transforming IT service organizations and driving commercial growth.
Chaithanya Bandi is an Associate Professor at the National University of Singapore (NUS) in the Analytics and Operations Department of the NUS Business School, with a joint appointment in the Department of Mathematics. His research focuses on decision-making under uncertainty, robust optimization, and their applications in operations management, healthcare, e-commerce, and energy systems. He develops robust optimization models for queueing control, risk optimization, and mechanism design. Key research areas include robust queue inference, two-stage distributionally robust optimization, and multi-item auction mechanisms. He has contributed to operational challenges in healthcare (e.g., patient re-entry scheduling), energy systems (electricity generation optimization), and e-commerce (price optimization for fashion products). His work integrates theoretical advancements with practical implementations in large-scale systems. Recent publications emphasize adversarial evaluation of large language models, dynamic scheduling algorithms, and robust policies for uncertain environments. His methodologies often involve novel optimization frameworks and scalable computational approaches. Dr. Bandi holds a PhD in Operations Research and has collaborated with industry leaders like Flipkart and healthcare providers to apply his models in real-world settings. His contributions bridge theoretical rigor and practical applicability in complex operational systems.
Dr. Samer El Hajjar is a Senior Lecturer in Marketing at the National University of Singapore (NUS) Business School. His expertise spans consumer behavior, digital marketing strategies, and marketing education. He holds a Doctorate in Marketing from EM Strasbourg Business School, France (2016), a Master's from University of Rennes 1 (2013), and a Bachelor's from Lebanese University (2011). Research Interests: Consumer Behavior & Social Media Impact AI and Blockchain in Marketing Cultural Marketing & Destination Management B2B Sales & Education Marketing His research addresses contemporary challenges like digital disruption, cultural identity in branding, and pandemic impacts on education marketing. He frequently engages with global corporations like Microsoft and appears in media outlets such as BBC and Fortune. His work combines academic rigor with practical insights from executive training and consulting across Asia, Europe, and the Americas. Teaching & Leadership: Dr. El Hajjar develops curricula and fosters industry partnerships, preparing future marketing leaders through innovative pedagogy. He actively contributes to marketing education reforms, emphasizing data analytics and emerging technologies in coursework. Awards: No specific awards listed, but his impactful research and industry engagement reflect professional recognition.
Jonathan Art Chu serves as Presidential Young Professor (Assistant Professor) at the Lee Kuan Yew School of Public Policy, National University of Singapore, where he examines how humanitarian institutions, liberal democratic norms, and public opinion shape international behavior in conflict zones. His research bridges theoretical frameworks with empirical analysis to address pressing questions in global security and governance. Education: B.A. in Political Science, UC San Diego Ph.D. in Political Science, Stanford University Postdoctoral Fellow, Perry World House, University of Pennsylvania Chu's scholarship centers on Comparative Politics, Democracy, and International Relations with specialized focus on norm diffusion, public opinion formation, and wartime conduct. He employs rigorous experimental methodologies—including survey experiments and observational studies—to investigate how moral judgments influence perceptions of humanitarian intervention, how international organizations legitimize military coalitions, and how liberal ideology shapes foreign views of China. His work consistently demonstrates how identity and institutional cues mediate citizen responses to international crises, revealing nuanced pathways for policy influence. Analysis of his publication record shows a cohesive trajectory examining legitimacy mechanisms in international affairs. Early work established foundations in norm compliance (e.g., POW treatment studies), while recent publications pivot toward institutional validation processes—particularly how bodies like NATO harness public opinion to justify military action. Methodologically, he integrates survey experiments with cross-national data to uncover causal relationships between normative appeals and policy support, with increasing emphasis on great power dynamics and humanitarian crises. Scientific Awards: Finkelstein Paper Prize for outstanding contribution to International Organization studies Weber Paper Prize for innovative research in Religion and Politics Leonard Davis Genocide Prevention Fellowship at United States Holocaust Memorial Museum (2025-26) Chu's academic leadership includes chairing the Master in International Affairs program at LKYSPP and serving on editorial boards for Journal of Politics , International Studies Quarterly , and Journal of Experimental Political Science . His research receives support from the U.S. National Science Foundation, while his civic engagement manifests through founding CivicPulse—a non-profit advancing evidence-based policy—and managing Stanford's Survey Lab. Current projects focus on genocide prevention mechanisms and the psychological foundations of humanitarian intervention. His laboratory infrastructure combines academic rigor with practical application: as founding Director of Research for CivicPulse, he develops tools for measuring civic health, while his Stanford Survey Lab experience informs methodological innovations in cross-national polling. The 2025 book Social Cues: How the Liberal Community Legitimizes Humanitarian Wars (Cambridge University Press) synthesizes this work into a unified theory of institutional legitimation.
Daniel PREVE is an Associate Professor of Economics (Education) at the School of Economics, Singapore Management University (SMU), where he also serves as the Programme Coordinator for the DSA 2nd Major. He is a full-time faculty member actively contributing to the academic and educational mission of the institution. Educational Background: PhD in Statistics, Uppsala University, 2008 Master of Social Science in Statistics, Uppsala University, 2003 His research focuses on theoretical and applied aspects of econometrics and statistics, with particular emphasis on financial econometrics and empirical finance. His expertise extends into data science, supporting interdisciplinary applications in economics and finance. While no recent publications are listed in the provided text, his research areas suggest a strong methodological foundation with practical implications in financial modeling and data analysis. Scientific Awards: Daniel PREVE is involved in academic program leadership and student education, particularly through his role in coordinating the DSA 2nd Major, indicating active engagement in curriculum development and academic mentoring. There is no mention of external grants or funded research projects in the provided material. He is affiliated with the Department of Econometrics and Data Science at the School of Economics, contributing to a research and teaching environment focused on quantitative methods in economics.
Judy CHIA 谢慧珍 serves as an Adjunct Senior Lecturer at the National University of Singapore (NUS), leveraging over two decades of media industry expertise. Her professional profile spans: Former commissioning editor at Mediacorp managing Chinese news, current affairs, and programming grids Current part-time broadcaster with SPH radio station Owner of a translation company providing event interpretation services Member of the Ministry of Communications and Information's Programme Advisory for English Programmes Her research focuses on practical language solutions for media contexts: Media Translation techniques for broadcast content Content Localisation strategies for cultural adaptation Conference and Meetings Interpretation methodologies
