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Philipp LerschView profile

Professor

• Social Inequalities
• Life Course Analysis
• Wealth Distribution
• +4 more

Philipp Lersch is a Professor of Sociology of Social Policy at the Institute of Social Sciences, Humboldt University of Berlin and heads the Life Course and Inequality Research Group at the German Institute for Economic Research (DIW Berlin) . His work bridges longitudinal data analysis, social policy, and economic sociology. Humboldt University of Berlin: Professor of Sociology of Social Policy DIW Berlin: Head of Life Course and Inequality Research Group Research Interests : Lersch investigates social inequalities across life courses, focusing on family dynamics, wealth distribution, and labor market outcomes. He leverages longitudinal survey data to analyze how institutional contexts (e.g., policy frameworks) shape financial investments, occupational mobility, and cohabitation/marriage stability. Publications & Projects : He has published in top-tier journals like American Sociological Review and Socio-Economic Review , covering topics such as assortative mating , class origin effects on wealth , and demographic trends in inequality . Current projects include DECIPHE (intergenerational homeownership persistence) and WEALTHTRAJECT (wealth accumulation trajectories).

• Gene-Environment Interplay
• Genetics
• Personality Psychology
• +4 more

Eivind Ystrøm is a Professor of Personality Psychology at the University of Oslo’s Department of Psychology and leads the genetics research group (GeoGen) at PROMENTA Research Center. His work focuses on gene-environment interplay, particularly how socioeconomic status and genetic factors influence mental health and educational outcomes across generations. He leads major grants including the ERC Consolidator project on intergenerational mobility and the FRIPRO project on early life socioeconomic exposures. Research interests include molecular genetics, epigenetic mechanisms, and large-scale population studies. He integrates national registries and cohort data to disentangle direct and indirect genetic effects. Current projects examine genetic nurture effects, assortative mating patterns, and environmental sensitivity in child development. His recent work analyzes over 460,000 individuals to map genetic associations with educational fields, and explores heterogeneity in neighborhood effects on child achievement. Articles often address maternal stress, ADHD traits, and mental health trajectories using genetically-informative designs. Ystrøm serves as Associate Editor for JCPP Advances and collaborates in international networks like the European Social Science Genetics Network. He co-leads projects on post-pandemic resilience (SISU) and has published extensively in journals like PNAS, Nature Communications, and Molecular Psychiatry.

Sonia KleindorferView profile

Professor

• Avian Behavior
• Conservation Biology
• Darwin's Finches
• +3 more

Sonia Kleindorfer is a Professor in the Department of Behavioral and Cognitive Biology at the Faculty of Life Sciences. Her research focuses on avian behavior, particularly Darwin’s finches and their ecological interactions, including parasite impacts and conservation challenges. She leads the Core Facility KLF for Behavior and Cognition, emphasizing interdisciplinary approaches to behavioral ecology and evolutionary biology. Research Interests: Her work explores behavioral adaptations in birds, conservation strategies for endangered species like the Darwin’s finches, and the ecological effects of invasive parasites such as Philornis downsi. Key themes include animal communication, parental behavior, and the influence of environmental factors on avian physiology and behavior. Awards: Advanced Leadership Award (2018) Award for Excellence (Nature Without Borders International Film Festival, 2020) D. L. Serventy Medal (2016) Grants & Projects: The ultimate causes of personality in Darwin’s finches (2024–2028) Replicate evolution in avian parasite during island invasion (2023–2026) Labs/Teams: Core Facility KLF for Behavior and Cognition, collaborating on avian behavioral studies and conservation initiatives.

Will MaView profile

Associate Professor

• E-commerce Optimization
• Supply Chain Management
• Revenue Management
• +5 more

Will Ma is the Roderick H. Cushman Associate Professor of Decision, Risk, and Operations at Columbia Business School, Columbia University. He is an affiliated member of the Data Science Institute's Foundations of Data Science and Financial and Business Analytics centers. His academic appointment involves full-time research and teaching responsibilities with no indication of part-time status or retirement. Ma's research centers on e-commerce optimization, addressing both supply-side challenges (inventory management, fulfillment logistics) and demand-side opportunities (personalized product assortments). His work specializes in designing real-time algorithms that emphasize simplicity and robustness, with applications spanning revenue management, online matching, dynamic pricing, and data-driven decision-making. Key methodologies include stochastic optimization, algorithmic game theory, and combinatorial design. Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in online optimization under uncertainty, including prophet inequalities, contention resolution schemes, assortment planning, and network revenue management. These contributions consistently bridge theoretical computer science and operations research, with practical applications in logistics, game design, and pricing strategies. Awards and Recognition: Operations Research Reviewer Meritorious Service Award (2025) While specific student advising relationships and grant details are not documented, Ma maintains an active research lab focused on algorithmic solutions for operational challenges. His industry background includes professional poker, video-game startups, and entrepreneurship, enriching his academic work with practical perspectives.

Richard FlightView profile

Associate Professor

• Marketing
• Consumer Behavior
• Brand Management
• +3 more

Richard Flight, Ph.D., is an Associate Professor in the Marketing and Hospitality, Resort and Tourism Management department at Coastal Carolina University's E. Craig Wall Sr. College of Business Administration. He holds office hours by appointment and can be contacted at rflight@coastal.edu. Dr. Flight's academic journey includes a Ph.D. in Marketing and an M.A. in Economics from the University of Alabama, complemented by an MBA and B.S. in Management from Samford University. Professional Experience Associate Professor at Coastal Carolina University (current position) Associate Professor at Southern Illinois University Associate Professor and Assistant Professor at Eastern Illinois University Assistant Director of Athletics-External Affairs at Samford University Director of Promotions at Blues City Baseball Research Focus Dr. Flight's research examines consumer psychology dynamics in marketing contexts, with emphasis on brand relationships, advertising effectiveness, and behavioral anomalies. His work explores how emotional connections influence brand perception across political, social, and cultural dimensions. Recent investigations focus on digital marketing strategies, social entrepreneurship ecosystems, and innovation adoption patterns in business environments. Professional Affiliations Marketing Research Association (MRA) American Marketing Association (AMA) Society for Marketing Advances (SMA) Beta Gamma Sigma Honor Society National Association of Collegiate Marketing Administrators (NCMA) Atlantic Sun Conference National Conference Representative

Anuj KumarView profile

Professor

• Business Value of Information Technology
• Digital Goods Markets
• Information Technology Enabled Multi-Channel Service Operations
• +4 more

Anuj Kumar serves as the Walter J. Matherly Professor of Information Systems at the Warrington College of Business, University of Florida, within the Information Systems and Operations Management Department. His academic journey spans prestigious institutions in India and the United States, culminating in a PhD from Carnegie Mellon University. Dr. Kumar earned his PhD in Information Systems Management from the Heinz College at Carnegie Mellon University (2011), an MBA from the Indian Institute of Management (2006), an MTech in Thermal Engineering from the Indian Institute of Technology (1992), and a BE in Mechanical Engineering from the Indian Institute of Technology Roorkee (1990). His research centers on understanding how information technology influences human behavior and organizational outcomes across three primary domains: omnichannel customer behavior in technology-mediated environments, the economic value of algorithmic recommendation systems, and the societal impact of information technology. Dr. Kumar has developed an AI-enabled platform called EPInc to identify students' knowledge gaps and facilitate peer learning, which has been implemented in K-12 schools across India, benefiting thousands of students. His work on multichannel customer behavior examines how consumers interact with businesses across different channels for various products and services. Dr. Kumar's publication record demonstrates consistent high-impact contributions to top-tier journals including Management Science, Information Systems Research, Manufacturing & Service Operations Management, and Management Information Systems Quarterly. His research on product recommendation networks has shown these systems can increase product page views by 7.5% and sales revenue by 11% on average, with even greater impact for products at the 'center of the network.' His work spans theoretical foundations of information systems while maintaining strong practical relevance to business operations and societal challenges. INFORMS ISS Sandra A. Slaughter Early Career Award (2018) First runner-up award for INFORMS-Industry Studies Association Best Paper Prize Wharton Customer Analytics Initiative Research Grant Marketing Science Institute Research Grant Best Reviewer award at Sixteenth Conference on Information Systems and Technology Dr. Kumar has advised numerous PhD students including Xinyu Zang, Zhechao Yang, Maxim Terekhov, Youhyun Lee, Lucy Zhang, and Xiang Wan. His research has received competitive funding from the Marketing Science Institute and Wharton Customer Analytics Initiative. He serves as an Associate Editor for Information Systems Research and has reviewed for prestigious journals including Management Information Systems Quarterly and Management Science. His EPInc platform represents a significant applied contribution, creating peer-driven learning in K-12 classrooms, particularly benefiting underprivileged students in Indian schools.

Ludvig Daae BjørndalView profile

Research Fellow

• Genetic Epidemiology
• Mental Health
• Stressful Life Events
• +3 more

Ludvig Daae Bjørndal is a Research Fellow at the Department of Psychology, University of Oslo, affiliated with the Faculty of Social Sciences and the PROMENTA Research Center. His work bridges genetic epidemiology and mental health research. Education: Master of Psychology (2021), PhD (2024) Research: Genetic and environmental risk factors for mental disorders, network analysis of wellbeing, and stress resilience mechanisms Recent publications demonstrate expertise in twin studies, cohort data analysis, and cross-disciplinary mental health research. Key themes include psychiatric comorbidity structures, pandemic impacts on healthcare, and refugee mental health. 2024: Outstanding Article of the Year Award 2023: Doctoral Research Fellow Award 2021: Leonard E. Gibbs Award He teaches courses in personality psychology and mental health prevention, with visiting research appointments at Karolinska Institutet and University of Oxford.

Rui LiView profile

Associate Professor

• Corporate Finance
• Financial Economics
• Macroeconomics
• +1 more

Rui Li serves as an Associate Professor in the Department of Accounting & Finance at the University of Massachusetts Boston, where his research centers on corporate finance, macroeconomics, and game theory with emphasis on dynamic contractual relationships and firm behavior under uncertainty. His academic foundation includes: PhD in Economics Dr. Li's research portfolio spans corporate finance, financial economics, macroeconomics, and game theory, developing theoretical models to analyze moral hazard in dynamic settings, investment under limited commitment, and risk-taking mechanisms. His work bridges microeconomic firm decisions with macroeconomic outcomes through rigorous mathematical frameworks. Analysis of his recent publications (2017-2025) reveals consistent focus on agency problems and contractual design in evolving environments. His research trajectory has expanded to address contemporary challenges like climate policy impacts on business strategy and digital transformation, while maintaining core emphasis on incentive structures and information asymmetry through theoretical modeling approaches.

Huseyin TopalogluView profile

Professor

• Revenue Management
• Pricing Analytics
• Operations Research
• +4 more

Dr. Huseyin Topaloglu is the Howard and Eleanor Morgan Professor at the School of Operations Research and Information Engineering at Cornell University and Cornell Tech . He holds a B.S. in Industrial Engineering from Bogazici University (1997), an M.A. in Operations Research from Princeton University (1999), and a Ph.D. in Operations Research from Princeton University (2001). Education: B.S. Industrial Engineering (1997) – Bogazici University M.A. Operations Research (1999) – Princeton University Ph.D. Operations Research (2001) – Princeton University His research focuses on revenue management , pricing analytics , assortment optimization , and stochastic dynamic programming . Recent work includes advancements in multinomial logit models , network revenue management , and dynamic inventory allocation . He has published extensively in leading journals such as Operations Research , Management Science , and M&SOM , often collaborating with researchers like Y. Bai , P. Rusmevichientong , and O. El Housni . His 15 most recent publications (2024–2003) demonstrate expertise in revenue management using multinomial logit models , dynamic programming , and stochastic optimization . Key subfields include assortment planning , network revenue , pricing under uncertainty , and approximation algorithms for complex systems like ambulance redeployment and airline capacity control . He has also authored books like Revenue Management and Pricing Analytics (2019) and Fundamentals of Linear Optimization (2021).

Sridhar SeshadriView profile

Professor

• Stochastic modeling
• Supply chain management
• Revenue management
• +3 more

Sridhar Seshadri is the Alan J. and Joyce D. Baltz Endowed Professor and Professor of Business Administration at the University of Illinois at Urbana-Champaign. He has served as Area Chair of Information, Operations, Supply Chain, and Analytics (2018-2022) and Health Innovation Professor at the Carle Illinois College of Medicine. His affiliations span operations management, supply chain analytics, and healthcare innovation. Educational Background: PhD in Management Science, University of California at Berkeley (1993) Postgraduate Diploma in Management, Indian Institute of Management Ahmedabad (1980) Bachelor of Technology in Mechanical Engineering (with distinction), Indian Institute of Technology Madras (1978) Research Interests focus on stochastic modeling and its applications in queueing systems , supply chain management , and revenue management . His work addresses dual sourcing inventory systems, epidemic modeling for supply chains, AI-augmented healthcare workflows, and the intersection of operations and financial markets. Recent publications include analyses of commodity trading under uncertainty , AI in neurology , and pandemic response strategies . Key Scientific Contributions are recognized through: 2022 INFORMS Revenue Management and Pricing Section Practice Award Fellow of the Production and Operations Management Society (2018-present) James F. Towey Faculty Fellow (2018) Grants and Leadership include projects on Health Access Points in Rural Illinois (2024-2026), Business Analytics Collaboratory (2021-2023), and Dynamic Resource Management for Pandemics (2020-2021). He has served as Department Editor for Production & Operations Management and Associate Editor for Management Science .

Espen Moen EilertsenView profile

Researcher

• Genetics
• Developmental Psychology
• Psychiatric Epidemiology
• +3 more

Espen Moen Eilertsen is a Postdoctoral Fellow at the Department of Psychology, University of Oslo. His research focuses on understanding the genetic and environmental influences on developmental and psychiatric outcomes, leveraging large-scale genomic and family data. Key areas of interest include genome-wide association studies (GWAS), behavioral genetics, and the interplay between genetic predispositions and environmental factors in shaping child and adolescent development. His work integrates advanced statistical methods, including structural equation modeling and polygenic score analyses, to disentangle direct and indirect genetic effects within families. Notable contributions include studies on the genetic architecture of motor development milestones, socioeconomic status, and intergenerational transmission of mental health traits. Recent publications highlight his expertise in investigating assortative mating patterns, gene-environment interactions, and the role of extended family structures in moderating genetic risks. Eilertsen’s research has implications for understanding complex traits and informing preventive strategies in public health.

Adam ElmachtoubView profile

Associate Professor

• Operations Research
• Machine Learning
• Revenue Management
• +5 more

Adam Elmachtoub is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University, where he holds affiliations with the Data Science Institute and serves as an Amazon Visiting Academic. He earned his B.S. in Operations Research from Cornell University and his Ph.D. in Operations Research from the Massachusetts Institute of Technology (MIT), followed by a postdoctoral position at IBM's T.J. Watson Research Center focusing on Smarter Commerce technologies. His research bridges machine learning, analytics, and operations, with dual specializations: (1) developing ML-driven personalization methods for retail, logistics, and travel industries; and (2) creating novel models for revenue and supply chain optimization in e-commerce and service systems. His work emphasizes practical applications of optimization under uncertainty, data-driven decision-making, and algorithmic fairness. Elmachtoub's publication record demonstrates consistent focus on pricing analytics, revenue management, and operational efficiency, with recent work exploring fairness constraints, reusable resources, and pandemic-responsive systems. His research integrates stochastic modeling, statistical learning, and economic theory to solve complex industrial problems. Notable scientific recognitions include: NSF CAREER Award for foundational contributions to data-driven optimization IBM Faculty Award for industry-relevant research 1st place in INFORMS JFIG Paper Competition Great Teacher Award from the Society of Columbia Graduates Forbes 30 Under 30 in Science honor He maintains active research funding through NSF and IBM collaborations. While specific student advisees are unnamed in available sources, his teaching recognition suggests significant mentoring activities. No explicit details regarding dedicated labs or research teams are documented.

Joseph GoodmanView profile

Professor

• Consumer Behavior
• Consumer Happiness
• Pricing Strategy
• +1 more

Joseph K. Goodman is a Professor of Marketing and Psychology (by courtesy) at The Ohio State University's Fisher College of Business. He served as Chair of the Department of Marketing & Logistics (2019-2024) and holds a PhD in Marketing from UT Austin. His research explores consumer decision-making, including happiness from material/experiential purchases, pricing psychology, and crowdsourcing methodologies (e.g., Mechanical Turk). Goodman has published extensively in top-tier journals and received the Journal of Consumer Research Best Article Award (2021). His work examines how consumers derive happiness from purchases, navigate large product assortments, and respond to pricing strategies. Recent publications focus on retail personalization (e.g., Starbucks name-based orders), online research tools, and gift-giving dynamics. Articles from 2013-2024 reveal consistent themes: consumer happiness meta-analyses, methodological critiques of crowdsourcing, pricing effects on upgrade decisions, and experiential/material consumption asymmetries. No advising or lab details are documented.

Cornelia SchönView profile

Professor

• Operations Research
• Service Operations Management
• Revenue Management
• +3 more

Prof. Cornelia Schön serves as Professor and Chair of Service Operations Management at the University of Mannheim Business School, where she also directs the Mannheim Executive MBA Program. Her expertise bridges operations research with practical business applications, focusing on data-driven decision support for complex service environments. Her academic foundation includes: Ph.D. and Habilitation from Karlsruhe Institute of Technology (KIT) Diploma in Industrial Engineering MBA from UMass Boston Schön's research centers on quantitative methods for service operations management, with emphasis on revenue management (dynamic pricing, assortment optimization), service design (simultaneous product-process development), and sustainable operations (green product design, servicizing). She integrates operations research with cross-functional value creation, addressing real-world challenges in retail, transportation, and financial services through data-driven modeling. Recent publications reveal consistent focus on machine learning-enhanced assortment optimization, airline/railway scheduling under uncertainty, and sustainability integration in product design. Her work demonstrates strong industry applicability, particularly in transportation logistics and consumer-facing service sectors, with growing emphasis on ESG factors in operational decision-making. No scientific awards for Prof. Schön were documented in the source materials. Schön actively supervises doctoral researchers including Fabian Strohm (service process design), Marius Krömer (airline crew scheduling), Niloufar Sadeghi (assortment optimization), and Oliver Vetter (product pricing), while mentoring master's students like award-winning Jan-Hendrik Büscher (ESG in bank risk management). Her research receives industry collaboration funding and addresses practical implementation through application-driven projects. The Chair maintains an active research ecosystem with dedicated research assistants and administrative support, facilitating collaborative projects that translate theoretical models into operational solutions for partner organizations.

• Personality Psychology
• Social Psychology
• Behavioral Decision Theory
• +3 more

Jasna Hudek-Knežević is a Professor at the University of Rijeka's Faculty of Humanities and Social Sciences, specializing in personality psychology, social dynamics, and evolutionary behavioral science. Her research focuses on the Dark Triad traits, sociosexuality, emotion regulation, and their impacts on relationships and health outcomes. Key Research Areas: Personality-environment interactions, dyadic decision-making, and stress coping mechanisms. Teaching: Leads courses in Group Productivity and Decision-Making at the postgraduate level. Her recent publications explore how personality traits influence mate poaching, relationship satisfaction, and health behaviors, utilizing dyadic analysis and interdependence models. Despite no explicit mention of scientific awards, her work demonstrates interdisciplinary impact across psychology, education, and health sciences.