Fanny Yang is an Assistant Professor in the Computer Science Department at ETH Zurich . She previously held postdoctoral positions at Stanford University and a Junior Fellowship at the Institute for Theoretical Studies at ETH Zurich, advised by Nicolai Meinshausen . Her PhD was completed at the EECS Department of UC Berkeley , supervised by Martin Wainwright . Research Interests : Theoretical foundations of machine learning and statistics , particularly focusing on overparameterized models and high-dimensional data . Developing trustworthy ML models with emphasis on distributional robustness , domain generalization , and interpretability . Applications in medical diagnostics and treatment effect analysis , aiming to address reliability issues in real-world domains. Recent Work Trends : 2025 Articles : Theoretical analysis of semi-supervised multi-objective learning , test-time scaling with verifiers, and foundation models for efficient randomized experiments . 2024 Articles : Studies on robust mixture learning , privacy-preserving data synthesis via optimal transport , confounding quantification in causal inference , and semi-private learning frameworks. 2023 Articles : Investigations into active vs. passive learning in high dimensions, inductive bias in noisy interpolation , and semi-supervised novelty detection using model ensembles .
Alexandra Boldyreva is a Professor at the Georgia Institute of Technology, holding joint appointments in the School of Cybersecurity and Privacy and the School of Computer Science. She serves as Associate Chair for Graduate Studies in the School of Cybersecurity and Privacy and coordinates the Information Security Master’s program in the College of Computing. Her affiliations include the Institute for Information Security & Privacy (IISP), the Algorithms, Combinatorics and Optimization (ACO) program, and the Algorithms and Randomness Center (ARC). She earned her Ph.D. in Computer Science from the University of California, San Diego, and holds bachelor’s and master’s degrees in applied mathematics from St. Petersburg State Technical University, Russia. Her research focuses on cryptography and information security, with notable contributions to encryption methods, authentication protocols, and privacy-preserving systems. Boldyreva’s work emphasizes provable security analysis of protocols like FIDO2 and TLS 1.3, as well as searchable encryption and data privacy techniques. Her recent studies include secure communication channel establishment, leakage quantification in encryption systems, and applications of fuzzy search in encrypted databases. She has received Test of Time Awards for foundational contributions to cryptography. Boldyreva leads initiatives in cybersecurity education and has secured grants for research in secure communication protocols and human-computing approaches to key exchange. Her interdisciplinary collaborations span computer science, mathematics, and privacy engineering.
Anocha Aribarg is a Professor of Marketing and Area Chair of Marketing at the Ross School of Business, University of Michigan, with additional faculty affiliation at the Center for Southeast Asian Studies (CSEAS). Her interdisciplinary research bridges psychological theory, consumer behavior, and advanced statistical modeling to address complex marketing challenges. Education: PhD in Marketing, University of Wisconsin, 2004 MBA, University of Wisconsin-Milwaukee, 1998 BS in Statistics, Chulalongkorn University, Thailand, 1994 Research Focus: Prof. Aribarg investigates cognitive processes in consumer decision-making, specializing in individual/joint choice dynamics, product search behaviors, and responses to marketing stimuli. Her methodology integrates Bayesian econometrics with physiological measures (eye tracking, skin conductance) and multi-method experimental designs to uncover hidden decision mechanisms. Publication Trends: Her 14 recent publications (2009-2024) reveal consistent innovation in choice modeling, with increasing emphasis on attention dynamics (2020), moral psychology in aesthetics (2022), and high-frequency service data integration (2023). Work appears predominantly in Marketing Science Journal of Marketing Research, and Psychological Science, demonstrating methodological rigor across consumer behavior, advertising, and service contexts. Academic Service: She serves as Associate Editor for Marketing Science, Journal of Marketing, and Journal of Marketing Research, while contributing to the Journal of Retailing editorial board. Teaching: Prof. Aribarg delivers graduate-level courses in Marketing Research and Analytics and Predictive Analytics at Ross, emphasizing data-driven decision frameworks.
Ivan Dokmanic is an Assistant Professor at the Coordinated Science Laboratory (CSL) within the University of Illinois . His research bridges signal processing , machine learning , and applied inverse problems , with a focus on acoustics, biomedical imaging, and distance geometry. Current Role : Assistant Professor, CSL Email : dokmanic@illinois.edu Research Interests : Dokmanic explores machine learning applications in inverse problems , particularly distance geometry for molecular imaging and acoustics . His work includes unlabeled sensing , where distances between points are known but their arrangement is not. This has implications for powder diffraction , indoor localization , and echo modeling . Article Trends : His recent publications emphasize distance geometry in machine learning , acoustic signal processing , and inverse problem theory . Key areas include molecular imaging , audio encryption , and sensor positioning . Collaborative work spans medical imaging , cyberphysical systems , and geometric invariants . 2016 Google Faculty Award NSF Grant (1 year, $157,079) Students and Grants : Dokmanic mentors PhD students like Puoya, Shuai, and Anadi. His research is funded by the National Science Foundation , Google , VISA , and nVidia .
Kusum L. Ailawadi is the Charles Jordan 1911 TU'12 Professor of Marketing at the Tuck School of Business at Dartmouth College. She has established herself as a leading expert in marketing channel strategy, brand equity, and multi-channel distribution systems. Her research examines the strategic interaction and distribution of power between manufacturers and their distribution channel partners, with particular focus on how store brands, promotions, and brand equity affect performance. Education: PhD, University of Virginia, 1991 MBA, Indian Institute of Management, 1984 BSc (Honors), St. Stephen's College, Delhi University, 1982 Professor Ailawadi's research spans two primary streams: the first focuses on manufacturer-retailer relationships and channel strategy, examining how power dynamics affect brand performance; the second investigates how marketing actions influence consumers' health status and the nutritional quality of grocery shopping. She has pioneered research showing how warehouse club shopping affects consumer behavior, revealing that club store shoppers spend more, shop more frequently, and consume more calories than non-club shoppers. Her work on multi-channel distribution has been synthesized in her influential 2020 book Getting Multi-Channel Distribution Right , which provides practical guidance for managing brands across physical and digital channels. Her extensive publication record in top marketing journals like Journal of Marketing , Journal of Marketing Research , and Marketing Science demonstrates consistent scholarly impact. Analysis of her recent work shows a strong focus on the evolving retail landscape, with particular attention to private label brands, multi-channel strategies, and the behavioral economics of consumer shopping patterns. Her research increasingly bridges marketing theory with practical applications in retail strategy and consumer health. Notable Awards: Winner, Paul H. Root Award for Significant Contribution to the Advancement of the Practice of Marketing (2018) Distinguished Alumni Award, Indian Institute of Management Bangalore (2020) Winner, John D.C. Little Best Paper Award, Marketing Science (2005) Winner, First William Davidson Award for Best Contribution to Theory and Practice in Retail Marketing (1997) Multiple finalist positions for Paul E. Green Award across various years Professor Ailawadi serves as president of the INFORMS Society for Marketing Science and has held editorial positions at major marketing journals including Journal of Marketing , Journal of Marketing Research , and Marketing Science . She teaches the highly regarded MBA elective on Multi-Channel Routes to Market and has consulted with companies across consumer goods, retailing, consulting, and financial services sectors. Her expertise has also been sought in legal cases related to distribution, brand equity, and promotions, where she has served as both consulting and testifying expert. Her research has been widely covered in media outlets including Harvard Business Review , Wall Street Journal , Forbes , and Advertising Age , demonstrating the practical relevance of her academic work. Her TEDx talk 'Outsmarting the Marketers' further illustrates her ability to translate complex marketing concepts for broader audiences.
Ananth Grama is the Samuel D. Conte Distinguished Professor of Computer Science and Associate Director of the Center for Science of Information at Purdue University. He holds a faculty position in the Department of Computer Science, College of Science. His research focuses on parallel computing, distributed systems, machine learning, and their applications in complex systems such as materials modeling and clinical analytics. He teaches advanced courses like CS525 (Parallel Computing) and CS314 (Numerical Methods). Research interests span parallel algorithms, fault-tolerant learning, quantum machine learning, and data-driven healthcare analytics. Recent work addresses fundamental limits of generative models, online learning under noisy conditions, and clinical outcome predictions. His projects include DOE-funded research on critical element recovery and NIH grants for hearing assessment technologies. Notable contributions include over 50 peer-reviewed publications since 2022, with recent papers appearing at ICLR, NeurIPS, and ICML. Current postdocs include Changlong Wu (collaborating with Wojciech Szpankowski) and Luopin Wang (with Nadia Atallah). He advises seven graduate students and oversees multidisciplinary research teams.
Dr. Megan Bailey is an Associate Professor and Canada Research Chair (Tier II) in Integrated Ocean and Coastal Governance at Dalhousie University's Marine Affairs Program, part of the Faculty of Science. She holds a PhD from the University of British Columbia (UBC) and has conducted postdoctoral research at Wageningen University in the Netherlands. Her work focuses on global fisheries governance, combining market and state approaches to achieve sustainable outcomes, particularly in transboundary fisheries and tuna governance. Bailey’s research integrates game theory, global value chain analysis, and informational governance to address challenges in seafood sustainability. She emphasizes collaboration among governments, NGOs, and industry to enhance transparency and equity in fisheries management. Her projects often center on Indigenous rights, Arctic char fisheries in Nunatsiavut, and the impacts of market mechanisms like eco-labels and trade policies. Key areas of research include: cooperative management of shared fish stocks, traceability systems, food security, and equitable allocation in fisheries. She leads the Bailey Lab, which supports interdisciplinary projects such as the North Atlantic Right Whale conservation initiative and the Sustainable Nunatsiavut Futures Project. Bailey has supervised numerous PhD and Master’s students, fostering the next generation of marine governance researchers. Her scientific contributions include over 50 peer-reviewed publications, with recent work addressing Indigenous data sovereignty, decolonizing research methodologies, and the socio-ecological impacts of climate change on coastal communities. Bailey is a principal investigator for the Nippon Foundation Ocean Nexus Center, furthering global ocean equity initiatives.
Stephen Robert Hanneke is an Assistant Professor in the Department of Computer Science at Purdue University, specializing in theoretical machine learning and statistical learning theory. His work focuses on reducing the number of training examples required for learning, with contributions to supervised, semi-supervised, active, and transfer learning. He joined Purdue in Fall 2021 after roles including Research Assistant Professor at the Toyota Technological Institute at Chicago (2018–2021), Visiting Lecturer at Princeton University (2018), and Visiting Assistant Professor at Carnegie Mellon University (2009–2012). Education: B.S. in Computer Science from the University of Illinois at Urbana-Champaign (2005), Ph.D. in Machine Learning from Carnegie Mellon University (2009). Research interests include statistical learning theory, machine learning foundations, algorithms, and quantum computing. Notable contributions explore the theoretical underpinnings of active learning, adversarial robustness, and universal learning frameworks. His research bridges disciplines like probability theory, philosophy of science, and algorithmic information theory. Key awards include the Best Paper Award at ALT 2021 for 'Stable Sample Compression Schemes' and runner-up for COLT 2021. He has also received the COLT 2020 Best Paper Award and an Honorable Mention for the ICML 2017 Test of Time Award. His work on 'A Bound on the Label Complexity of Agnostic Active Learning' (ICML 2007) received further recognition in 2017. Teaching includes courses on machine learning theory and data mining at Purdue, Princeton, and Carnegie Mellon. He has organized workshops like the ALT 2019 'When Smaller Sample Sizes Suffice for Learning' and chaired the program committee for ALT 2017. His research outputs span over 100 publications in top venues like COLT, NeurIPS, and JMLR, focusing on foundational questions in learning theory and algorithmic efficiency.
Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.
Dr. Susana Castro-Kemp is an Associate Professor in Psychology and Human Development at University College London's Institute of Education (IOE), where she serves as Director of the Centre for Inclusive Education (CIE) since September 2023. Previously, she was a Reader in Education at the University of Roehampton for eight years. Her work focuses on inclusive education policy and practice globally, with particular expertise in special educational needs and disabilities (SEND), early childhood intervention, and mental health in schools. The IOE has been ranked number one in the world for Education for several consecutive years, providing an ideal environment for her impactful research. Dr. Castro-Kemp holds a PhD in Psychology jointly awarded in 2012 by the University of Porto (Portugal) and the University of North Carolina at Chapel Hill (USA). Her doctoral research was fully funded by the Foundation for Science and Technology/European Commission and the Global Education and Development Studies scholarships. She is a Chartered Psychologist with the British Psychological Society, a Senior Fellow of Advance HE, and a Recognised Research Supervisor by the UK Council for Graduate Education. Dr. Castro-Kemp's research centers on policy regulating education, health, and welfare services for children, particularly those with support needs. She examines inclusive education practices from users' perspectives, policy models leading to effective inclusive pedagogy, and country-level policy impacts on outcomes for children with special educational needs. Her work moves away from diagnostic labels toward engagement and civic participation as educational outcomes. She also investigates inclusion and early intervention in low- and middle-income countries, mental health in schools, and quality of early childhood education. Her recent publications reveal several key trends in inclusive education research. There's growing emphasis on understanding educational experiences through the voices of children and families rather than diagnostic labels. Much of her work examines the implementation gap between inclusive education policy and classroom practice. She has conducted significant research on how children with special educational needs experienced the pandemic, revealing both challenges and unexpected "silver linings" for some groups. Her corpus analysis of Ofsted reports shows narrow focus in early childhood education inspections, while her work on SEND policy increasingly takes an international comparative approach. Dr. Castro-Kemp has received recognition for her impactful work, including: Best Digital Humanities Project for Community Engagement Prize (2023) from the National Institute of Humanities and Social Sciences of South Africa for her project "Optimising collaborations and reducing inequalities of Early Childhood Intervention in post-Covid-19 South Africa" Dr. Castro-Kemp has secured approximately £1.3 million in research funding from various sources including ESRC, British Academy/Leverhulme Trust, European Commission, and private sponsors. Her current major project is 'ScopeSEND' (2024-2026), funded by the Nuffield Foundation (£250,000), examining international SEND policies. She has led numerous projects including "Transdisciplinary provision for children with disabilities in the Global South" (£3,500), "Optimising collaborations in South Africa" (£47,200), and "Froebel meets Ofsted" (£19,185). As a supervisor, she mentors MA/MSc and PhD students in education policy, early childhood, and inclusive education, having been nominated for student choice awards for excellent feedback and outstanding research supervision. As Director of the UCL Centre for Inclusive Education since 2023, Dr. Castro-Kemp leads a team focused on advancing knowledge exchange and research in inclusion and special needs. The Centre works with schools, educators, parents, and early years settings to translate research into practice. Her international collaborations include work with the World Health Organization as a technical advisor on the use of the International Classification of Functioning, Disability and Health (ICF) system in educational contexts. She also serves on the SEN Policy Research Forum and has provided oral evidence to the House of Commons Education Select Committee.
Dr. Stijn Maesen is an Assistant Professor of Marketing at Imperial College Business School, specializing in retailing and marketing strategy. His research examines how retailer and manufacturer marketing activities affect firm performance and societal outcomes, with a focus on consumer behavior, health labeling, and payment innovations. He holds a PhD from KU Leuven and previously worked in marketing research at GfK. Education: PhD in Marketing, KU Leuven Pre-PhD work experience at GfK Research Interests: Retail competition dynamics, consumer decision-making in retail settings, and the societal implications of marketing practices. His work bridges academic rigor with practical insights for retailers and policymakers. Awards: 2020 AMS Mary Kay Doctoral Dissertation Award (best dissertation in marketing science) Teaching: Marketing Analytics (MSc Strategic Marketing), Marketing Decisions (MSc Management). Combines data-driven approaches with traditional marketing principles. Labs/Teams: Engaged in collaborative research projects within Imperial's Business School analytics cluster.
Professor Susan Thorp is a Finance academic at the University of Sydney Business School . With a PhD in Economics from UNSW and prior roles at University of Technology Sydney and the Reserve Bank of Australia, she focuses on household finance , retirement planning , and financial market behavior . BEc (Hons) - University of Sydney Dip. Ed. - University of New England PhD - University of New South Wales Her research interests include: Life-cycle financial decision-making Behavioral influences on savings and investments Superannuation policy and market integration Commodity market dynamics Economic impacts of financial literacy Crises-driven market contagion Recent publications analyze retirement decumulation , financial trust , and commodity-equity market correlations . She leads cross-disciplinary teams applying dynamic programming , econometric modeling , and experimental design to financial challenges. Her grants include ARC Linkage Projects and ASIC commissions for improving financial communication and regulatory frameworks . Media outlets frequently cite her expertise on superannuation policy , market volatility , and retirement savings behavior .
Prof. Marnik G. Dekimpe is a Research Professor of Marketing at Tilburg University and Professor of Marketing at KU Leuven. He holds editorial roles in top journals and has advised leading industries on marketing strategy. His research focuses on recession marketing, private-label success drivers, and marketing-mix effectiveness. He has won numerous awards, including the 2017 Mahajan Award and 2016 EMAC Distinguished Scholar Award. Education: PhD in Marketing from UCLA. Career highlights include Head of Department at Tilburg (2014-2020), visiting professorships at HKUST and Singapore Management University, and editorial leadership roles in multiple journals. Research interests span product-harm crises, consumer behavior, and retail strategy. Recent work explores proximity-store strategies for big-box retailers and the welfare impacts of hard discounters’ brand listings. Award highlights include honorary doctorates, best-paper awards, and long-term impact recognitions. Supervised over 40 PhD students, with notable advisees in retailing and marketing analytics. Active in editorial boards of key marketing journals and research institutes.
Professor Jagmohan S. Raju serves as the Joseph J. Aresty Professor of Marketing at the University of Pennsylvania's Wharton School, where he also directs the Wharton Co-Sponsorship of the Indian School of Business. An internationally renowned pricing expert, he has taught extensively across Wharton's MBA, EMBA, and Executive Education programs and previously served as Vice Dean of Executive Education for six years. His academic credentials include a PhD in Business, MS in Operations Research, and MA in Economics from Stanford University, complemented by an MBA from the Indian Institute of Management Ahmedabad and a BTech in Electrical Engineering from the Indian Institute of Technology Delhi. Raju's research focuses on pricing strategy , retailing dynamics , and competitive positioning , with significant contributions to understanding private labels, coupon economics, and strategic channel management. His work bridges theoretical rigor with practical applications, frequently addressing real-world challenges in product launches and market competition through game-theoretic and empirical approaches. Recent publications reveal evolving expertise in digital-era retail challenges, particularly showrooming behavior, omnichannel competition, and the strategic implications of network neutrality. His scholarship consistently addresses the intersection of consumer psychology and corporate strategy across diverse sectors including pharmaceuticals, entertainment, and consumer goods. Fellow, INFORMS Society for Marketing Science (2017) Multiple Excellence in Teaching Awards (2012, 2011, 2009) Miller-Sherrerd MBA Core Course Teaching Award (2006) President of INFORMS Society for Marketing Science (2004) Marketing Professor of the Year at UCLA (1992) As an educator, Raju directs flagship executive programs including the General Management Program and Owner/President/CEO Program, while consulting for industry leaders like Johnson & Johnson, Medtronic, and Warner Home Video on pricing architecture and new product launches. His research grants and industry projects frequently examine category management dynamics and the strategic value of customer heterogeneity. He spearheads the Wharton-Indian School of Business partnership, fostering academic exchange and executive development initiatives that leverage his deep expertise in India's business landscape and global market dynamics.
Marc Sachon is a Full Professor and Director of the Department of Operations, Information, and Technology at IESE Business School, University of Navarra . He serves as Academic Director for Advanced Management Programs (AMP) and specialized courses like Successful Change Management and Industry 4.0 . His leadership extends to the annual IESE Automotive Industry Conference (since 1986) and consulting engagements with global firms such as BMW Group , Phoenix Group , and Traton Group . PhD in Industrial Engineering and Engineering Management from Stanford University MBA from IESE Business School Master's in Aerospace Technology from University of Stuttgart His research focuses on operations strategy , particularly in the automotive industry , and the impact of Industry 4.0 on manufacturing and logistics. He explores how digital transformation reshapes value chains, emphasizing human-machine collaboration and supply chain resilience. His work spans academic journals like IEEE Transactions and business publications like IESE Insight , with case studies on companies such as Porsche and Netflix . Professor Sachon has received multiple teaching awards and maintains an active consulting practice across industries including airlines , pharmaceuticals , and logistics . He previously worked at Airbus and IBM , and currently advises a mobility startup board. His recent publications highlight trends in electric mobility , 3D printing , and supply chain sustainability .
