Dr. Jun Yan is a Professor in the Department of Statistics at the University of Connecticut. His research spans network analytics, spatial extremes, survival analysis, and statistical computing with applications in public health, finance, and environmental science. His core research interests include: network modeling and analysis, spatial statistics for climate extremes, survival analysis methodologies, statistical computing frameworks, and applications in interdisciplinary domains including sports analytics. Dr. Yan has developed significant statistical methodologies for network analysis, climate change detection, financial modeling, and health analytics. His recent publications demonstrate innovation in modeling complex network structures, analyzing climate extremes, developing computational approaches for massive datasets, and creating specialized statistical methods for health and finance applications. He maintains active collaborations across disciplines and contributes to open-source statistical software. Honors include: Guggenheim Fellowship, multiple Fromm Foundation commissions, and Barlow Endowment recognition.
Arash Asadpour is an Associate Professor at the Narendra Paul Loomba Department of Management, Zicklin School of Business, Baruch College, City University of New York (CUNY). His research focuses on operations research, optimization, and marketplace dynamics, particularly in gig economy platforms and online retailing. PhD in Management Science and Engineering, Stanford University 2010 B.Sc. in Computer Engineering, Sharif University of Technology, Tehran, Iran 2005 His work spans data science , dynamic pricing , stochastic optimization , and matching markets , with applications to ridesharing, online advertising, and resource allocation. Recent publications emphasize platform economics, algorithmic game theory, and submodular function optimization. Arash has received prestigious awards including the Best Paper Award at the ACM-SIAM Symposium on Discrete Algorithms (SODA) in 2010, top honors in Iran’s national graduate entrance exam (2004), and silver medals in national informatics olympiads (1999-2000).
Karl Harmenberg is a Swedish economist based at the Department of Economics, University of Oslo since 2022. He holds a PhD from Stockholm University's Institute for International Economic Studies (2018) and previously worked at Copenhagen Business School (2018-2021) and BI Norwegian Business School (2021-2022). As a tenure-track associate professor , he teaches Macroeconomic Theory and develops open-source Python tooling for macroeconomic modeling. Key research themes include macroeconomic dynamics with heterogeneous agents , earnings distribution mechanisms , and integrated epi-econ modeling for pandemic preparedness His methodological innovations include the permanent-income-neutral measure for heterogeneous-agent models and directed cycle graph representations of macroeconomic frameworks Current projects include WaCoMacro (wage contracts and macroeconomics) and ongoing collaborations with Timo Boppart , Per Krusell , and Erik Öberg Recent publications span: 2025 International Economic Review work on unemployment-risk amplification mechanisms 2025 Quantitative Economics article on integrated epi-econ modeling 2024 Economics Letters paper establishing Pareto distribution in top earnings 2023 AER Insights research on wage contract rigidity 2021 Journal of Economic Dynamics & Control contribution on permanent income shocks His work has been cited in policy discussions regarding: Swedish automatic stabilizer design Norwegian pandemic response strategies Scandinavian labor market reforms Nordic macroeconomic teaching curricula
Sajad Modaresi is an Assistant Professor of Operations at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. His research integrates analytical modeling, statistical methods, and machine learning to address operational decision problems and design practical solutions. He specializes in data analytics for retail operations, online personalization, and dynamic decision-making under uncertainty. PhD in Operations Management, Fuqua School of Business, Duke University MS in Industrial Engineering, University of Pittsburgh BS in Industrial Engineering, Sharif University of Technology Modaresi’s work focuses on developing machine learning algorithms for dynamic operational decisions, such as optimizing personalized assortment and pricing strategies. He also investigates consumer choice models in retail environments. His research bridges estimation and optimization to create adaptive systems for uncertain settings. His publications include studies on data-driven assortment personalization, combinatorial optimization, and consumer perception of brands. These works have been recognized with awards from prestigious competitions like the MSOM Student Paper Competition and INFORMS JFIG Paper Competition. First Prize, 2018 MSOM Student Paper Competition Second Prize, 2013 INFORMS JFIG Paper Competition Finalist, 2021 MSOM Data-Driven Challenge Modaresi teaches courses in business analytics, retail operations, data-driven decision-making, and operations management, emphasizing practical applications of analytics in real-world scenarios.
Sanjay K. Dhar, the James M. Kilts, Jr. Professor of Marketing at the University of Chicago Booth School of Business, is a leading scholar in strategic marketing management and retail dynamics. His work bridges empirical economic modeling with actionable business insights. Education: B.Tech (IIT), MBA (IIM), PhD (UCLA Anderson School) Affiliation: Faculty member at Chicago Booth since 1992 Research interests span brand management , consumer behavior , and retail strategy , with a focus on how economic factors and marketing mix variables influence household budget allocations and brand performance . His empirical work leverages massive datasets like Nielsen Homescan to uncover geographic patterns and long-term consumer trends . Recent publications examine on-screen cigarette product placement effects, WIC program impacts on cereal consumption, and retail format competition . His 2025 under-review paper extends these insights to multi-category budget reallocation during macroeconomic shifts. Scientific Recognition includes: William O’Dell Award Finalist (2012) Paul Green Award (2008) John D. C. Little Award (1995) McKinsey Teaching Excellence Award (2000) Hillel Einhorn Teaching Awards (2008, 2012) Dhar’s teaching philosophy emphasizes mastering fundamentals to solve complex marketing problems. He advises firms on strategic marketing and new product development while maintaining active research in consumer packaged goods (CPG) industries.
Ignacio Rios Uribe is an Assistant Professor at the Naveen Jindal School of Management (University of Texas at Dallas) specializing in Operations Management . He holds a PhD in Operations, Information and Technology (2020) from Stanford University, with additional MA in Economics from Stanford and MS/BS in Operations Research and Industrial Engineering from Universidad de Chile. PhD in Operations, Information and Technology (2020) - Stanford University MA in Economics (2020) - Stanford University MS in Operations Management (2014) - Universidad de Chile BS in Industrial Engineering (2014) - Universidad de Chile His research focuses on Behavioral Operations Management , particularly in matching markets , college admissions systems, and online platform optimization . Current projects examine mechanism design for dating apps, strategic behavior in college applications, team-building incentives, and charity donation systems. He employs mathematical modeling, field experiments, and structural estimation techniques. Recent publications analyze platform design for curated dating markets (M&SOM, 2023), stable matching with contingent priorities (Management Science, 2023), and capacity planning in school choice (Operations Research, 2022). His work combines theoretical analysis with empirical validation using real-world data from Chilean education systems and industry partners. Awards include First Place in Doing Good with Good OR (2018) and BOM Best Working Paper Competition (2023) Published in top journals like Management Science, M&SOM, Operations Research Professional affiliations with INFORMS and Manufacturing & Service Operations Management Society
Tolga Aydinliyim is an Associate Professor of Operations and Decision Analytics at the Zicklin School of Business, Baruch College, within the City University of New York (CUNY) system. He serves in the Narendra Paul Loomba Department of Management and has held significant leadership roles including Coordinator of the Operations and Decision Analytics area since 2020 and previously served as the Management area Coordinator of the Zicklin PhD Program from 2018-2020. He was also the founding coordinator of the OMEGA research seminar series from 2015-2021. His educational background includes a PhD in Operations Research from Case Western Reserve University (2007) and a BS in Industrial Engineering from Middle East Technical University in Ankara, Turkey (2003). Professor Aydinliyim's research spans several critical areas in operations management with particular focus on the operations-marketing-economics interface, retail operations, revenue management and pricing, closed-loop supply chain management, and capacity allocation in supply chains and healthcare settings. His work addresses practical challenges in sustainable operations, consumer return behaviors, inventory disclosure strategies, and green product design. He approaches these topics through quantitative modeling and empirical analysis, developing frameworks that help organizations optimize their operational decisions while considering market dynamics and consumer behavior. His publication portfolio demonstrates consistent contributions to premier operations management journals. Recent work focuses on closed-loop supply chains, healthcare capacity allocation during crises, strategic consumer behavior regarding product returns, and the impact of inventory disclosure in online retailing. His research shows a clear progression from foundational work in subcontracting and capacity allocation toward more contemporary issues in sustainable operations, omnichannel retailing, and the intersection of operations with marketing and economics. 2021 M&SOM Meritorious Service Award Multiple Summer Research Support grants from Manufacturing 21 Lundquist College of Business Summer Research Support (multiple years) Center for Sustainable Business Practices Summer Research Award Dean's High Honor List at Middle East Technical University Full Tuition plus Stipend for Top 100 students in Turkey Professor Aydinliyim has secured multiple research grants from PSC-CUNY including projects on healthcare capacity rationing, green product line design, closed-loop supply chains, and omnichannel partnerships for managing product returns. He serves as an Associate Editor for Decision Sciences and OMEGA journals, and has held numerous editorial and conference committee positions including track organizer for major conferences like POMS and DSI. His service extends to reviewing for numerous prestigious journals across operations research and management science. He has established the OMEGA research seminar series which served as an important platform for scholarly exchange in operations management from 2015-2021. His research collaborations span multiple institutions and include partnerships with researchers from various disciplines addressing complex operational challenges in retail, healthcare, and sustainable supply chains.
Barbara E. Kahn serves as the Patty and Jay H. Baker Professor of Marketing at The Wharton School, University of Pennsylvania. She previously held leadership roles including Director of the Jay H. Baker Retailing Center, Executive Director of the Marketing Science Institute (MSI), Dean and Schein Professor of Marketing at the University of Miami, and Vice Dean of Wharton's undergraduate program. Education: PhD, MBA, and MPhil from Columbia University BA from University of Rochester Professor Kahn is an internationally recognized scholar specializing in retailing, variety-seeking behavior, brand loyalty, product assortment design, and consumer/patient decision-making. Her research examines how consumers balance repeated choices with variety-seeking, particularly in contexts of uncertainty. She investigates brand management strategies across medical and financial services, price promotions, and customization effects on customer relationships. Her work bridges theoretical consumer behavior with practical retail applications, analyzing how visual elements influence branding and purchasing decisions through eye-tracking methodologies and cognitive frameworks. Her recent publications reveal strong thematic continuity in consumer choice architecture, with increasing focus on pandemic-driven retail disruption (2020-2025). The work spans foundational variety-seeking theory to contemporary applications in digital retailing, medical decision-making, and luxury branding. Key trends include the psychological mechanisms behind Fear of Missing Out (FOMO), self-regulatory goals in vice/virtue consumption, and visual marketing science. Scientific Honors: Elected President of Association for Consumer Research (2006) Fellow of Society of Consumer Psychology (2016) and Association for Consumer Research (2016) Multiple Davidson Awards for Journal of Retailing publications Wharton 'Iron Prof' Competition winner (2015) World's Best B-School Professors recognition (2012) Professor Kahn has secured substantial research funding including National Science Foundation grants ($315,000) for patient decision-making studies, Wharton-SMU Research Center grants (2003-2005), and Center of Excellence in Cancer Communication Research funding. She has advised doctoral candidates including Elizabeth Miller (SCP-SHETH Dissertation winner) and Satya Menon (John A. Howard Award recipient), serving on editorial boards of Journal of Consumer Research , Journal of Marketing , and Marketing Science .
Dr. Lauren Nadler is a Lecturer in Marine Biology and Ecology at the University of Southampton's Ocean and Earth Science faculty, based at the National Oceanography Centre Southampton. She is a member of the Marine Biology and Ecology research group and the Southampton Marine and Maritime Institute. Current research focuses on the interplay between physiology and behavior in social fishes Examining biotic (social context, parasite infection) and abiotic (climate change, habitat degradation) pressures Developing tools for real-world testing of lab findings in marine systems Her work employs an interdisciplinary approach to understand how marine organisms' behavior and physiology create complex underwater interactions. She investigates the physiological mechanisms behind behavioral traits, requiring technological innovations beyond traditional biology. Key trends in her 15 most recent articles (2025-2021) span: Parasite-induced behavioral manipulation Social dynamics in coral reef fish Climate change impacts on physiology Metabolic rate variability Escape response biomechanics Reef conservation methodologies She supervises PhD students in the Ocean & Earth Science department and has previously held academic appointments at Nova Southeastern University (2020-2022) and postdoctoral positions in Norway and California. Her educational background includes: PhD in Marine Biology (James Cook University, 2016) MRes in Marine & Freshwater Ecology (University of Glasgow, 2011) BA in Biology with Marine Science specialization (Boston University, 2007)
Magali JARA is an Associate Professor of Marketing at EM Normandie since 2024, previously serving at Université de Nantes from 2011-2024. She holds a PhD in Management Science from Université de Rennes 1 (2008) and HDR accreditation from Nantes Université (2020). Her research focuses on retail brand equity, click-and-collect systems, and organic/local product marketing. Teaching areas include E-commerce, International Negotiation, Digital Marketing, and Strategic Marketing. Key publications appear in International Journal of Production Economics , Journal of Retailing and Consumer Services , and Journal of Services Marketing . Her work examines consumer perceptions of retail formats, convenience-driven retail innovations, and sustainable consumption patterns. Recent research explores value creation through local product assortments and digital convenience in omni-channel settings. She has presented at major conferences including the Etienne Thil Congress and Global Conference on Services and Retail Management.
David B. Brown is the Snow Family Business Distinguished Professor in Decision Sciences and Faculty Director of the Center for Energy, Development and Global Environment (EDGE) at Duke University's Fuqua School of Business. He holds a Ph.D. from MIT (2006). His research focuses on algorithm design for decision problems under uncertainty, with applications in energy systems, sustainability, and stochastic modeling. Key contributions include dynamic resource allocation frameworks, stochastic dynamic programming relaxations, and robust optimization techniques. Professor Brown leads the GRACE project (funded by the Department of Energy, 2020–2025), exploring risk-aware grid management for clean energy systems. His work bridges theoretical advancements with practical applications in energy transition, climate mitigation, and mathematical optimization. He has received recognition including the Snow Family Distinguished Professorship (2024). Recent publications emphasize dynamic frameworks for integrated energy systems, fluid policies in resource allocation, and sequential decision-making under uncertainty. His research also addresses pricing strategies in shared resource networks and asymptotic optimization techniques. Education: Ph.D., Massachusetts Institute of Technology (2006) Grants: DOE-funded GRACE Project, Duke EDGE Faculty Seed Grant (2024) Affiliations: Center for Energy, Development and Global Environment (EDGE)
Prof. Selin Damla Ahipasaoglu is a Professor in Operational Research at the University of Southampton's School of Mathematical Sciences . She serves on the management team of the UKRI CDT SustAI (Artificial Intelligence for Sustainability) as Senior Tutor and Co-Lead for the Transportation and Logistics Theme . Her work bridges mathematical optimization with practical applications in sustainability, finance, and transportation systems. Research Interests : Convex Optimization Robust Optimization Discrete Choice Theory Experimental Design Machine Learning Current Research : Focused on robust optimization and its applications in discrete choice modeling, portfolio optimization, and transportation systems. She explores theoretical frameworks alongside real-world implementations, particularly through interdisciplinary projects like the UKRI CDT SustAI. Teaching : In the 2025/2026 academic year, she teaches MATH3017: Mathematical Programming and MATH2013: Operational Research II . She supervises PhD students in Mathematical Sciences, including Kexin Lai, Samuel Jericho Ward, and others.
Laurens Cherchye is a Full Professor at the Department of Economics, Faculty of Economics and Business, KU Leuven, with additional affiliations as Extramural Fellow at Tilburg University's CentER, International Research Fellow at the Institute for Fiscal Studies (IFS), and Research Fellow at the Centre for Economic Policy Research (CEPR). His institutional roles include membership in the Council of the Faculty of Economics and Business and the Research Council's Executive Body. His research centers on revealed preference theory , collective household models , and nonparametric production analysis . Key interests include: Marital matching patterns and intrahousehold allocations Household economics and poverty dynamics Nonparametric efficiency measurement Behavioral foundations of family decision-making Recent publications reveal a strong focus on life-cycle welfare analysis in household contexts, with methodological innovations in nonparametric testing for collective models. His work bridges microeconomic theory with empirical policy evaluation , particularly in family economics and poverty reduction. Cherchye actively supervises doctoral candidates including V. Cordova Silveira and G.P. Fernández Barros. His research is supported by major grants including ERC project SHARP, BELSPO project BE-PARADIS, and the 600-year KU Leuven Chair on poverty reduction (2024-2028). He leads the GARP research group and directs key projects like: "Marital matching patterns and intrahousehold allocations" (2025-2028) "Child poverty in household economics" (2024-2028) "Household decisions and individual welfare: a life cycle perspective"
Federica Ricca is an Associate Professor (SECS-S/06) at the Department of Methods and Models for Economy, Territory and Finance (MEMOTEF) at Sapienza University of Rome. She teaches courses including Project Management, Financial Optimization and Asset Management, and Quantitative Portfolio Selection for Management at the Faculty of Economics. Her academic career includes: Associate Professor at MEMOTEF Department since 2015 Researcher (MAT/09) at the Department of Statistical Sciences, University of Rome 'La Sapienza' from December 30, 2008 to September 30, 2015 Federica Ricca's research focuses on applied mathematics, combinatorial optimization, and network optimization . Her work has significant applications in electoral system mathematics (particularly biproportional seat allocation and electoral districting), service location problems and customer center assignment, and classification problems. She has developed innovative approaches to portfolio selection problems using combinatorial optimization and financial network analysis. Her recent publications demonstrate a strong focus on the intersection of mathematical optimization with practical applications in finance and political systems. She has made significant contributions to portfolio optimization through network approaches, political districting with attention to minority representation, and combinatorial optimization for financial decision-making. Her work bridges theoretical mathematical concepts with real-world applications in finance and electoral systems. Dr. Ricca is actively involved in research projects including: Mathematical Models for Portfolio Selection Problems: Innovative Combinatorial Optimization and Financial Network Analysis Approaches Quantitative models and efficient procedures for territorial partition and aggregation problems with applications in the public and private services sector She maintains regular office hours for student consultations and follows institutional protocols for student communications, requiring students to use their institutional email addresses when contacting her.
Eunjin Kwon is an Assistant Professor in the Department of Hospitality Administration at Lamar University, College of Nutrition, Hospitality and Human Services. She teaches courses including Intro to Hospitality Industry , Human Resources in Hospitality , and Travel and Tourism . Her academic career includes prior roles as Graduate Assistant at Pennsylvania State University and Research Associate at the University of Houston. B.A. in Tourism Management, Kyunghee University, South Korea M.S. in Hospitality Management (Dean’s Award), University of Houston, TX Ph.D. in Hospitality Management, Pennsylvania State University (2016) Her research focuses on hospitality management, consumer behavior, service marketing, and sensory marketing. Recent work examines emotional intelligence in upscale hotels, food desert mitigation, and the impact of music and plate color on dining experiences. Key trends in her research include customer misbehavior dynamics, menu design optimization, and grounded theory applications to peer-to-peer hospitality platforms. Awards include the 2008 Dean’s Award from Conrad N. Hilton College. Dr. Kwon has contributed to journals such as the Journal of Hospitality and Tourism Management and British Food Journal , with conference presentations at the Annual ICHRIE Conference and Graduate Education & Graduate Student Research Conference in Hospitality & Tourism.
