Michel Mandjes is a Professor at the University of Amsterdam's Faculty of Science and holds a Visiting Professor position at the Faculty of Economics and Business (FEB). His research focuses on stochastic processes, queueing theory, and probability theory, with applications in risk modeling, network analysis, and operations research. Recent publications highlight his contributions to multivariate Hawkes processes , Lévy-driven systems , and dynamic random graphs , emphasizing large deviations, rare event simulation, and statistical inference. His work bridges theoretical probability with practical challenges in traffic flow, financial risk, and social network modeling. The trends in his research include the development of stochastic models for network stability, appointment scheduling optimization, and inference techniques for non-stationary processes. His methodological innovations often leverage advanced probability theory and queueing frameworks to address real-world problems in transportation, healthcare, and finance.
Professor Roland Broemel holds the Chair of Public Law, Economic and Currency Law, Financial Markets Regulation and Legal Theory at the Faculty of Law, Goethe University Frankfurt, and is Deputy Managing Director at the Institute for Monetary and Financial Stability (IMFS) since December 2021. His work bridges legal theory, financial regulation, and digital transformation. Research Interests: Broemel's scholarship centers on market regulation in digitalized sectors—particularly currency, telecommunications, energy, and media. A key cross-cutting theme is the legal dimension of digitalization and algorithm-based applications. He also contributes to Basic Law theory and legal methodology, exploring how legal systems adapt to societal shifts. His recent work emphasizes digital euro, AI governance, and platform regulation. Publication Trends: His recent publications reflect a strong focus on the legal implications of digital transformation in finance and public law. Themes include central bank digital currency, algorithmic regulation, and interdisciplinary legal responses to climate and digital transitions. He frequently publishes in top German and international law journals and handbooks, often in collaboration with economists and legal scholars. Scientific Awards: Doctorate Award 1st Class, University of Hamburg Law Department Hamburg Teaching Prize 2010, Department for Science and Research Advising and Grants: Broemel actively supervises student research through inquiry-based learning formats and leads externally funded initiatives such as the School Project: Digital Euro. He has received support from the Studienstiftung des deutschen Volkes during his early career and continues to secure institutional funding for interdisciplinary research at IMFS. Labs and Teams: As Deputy Managing Director of IMFS, Broemel is embedded in a multidisciplinary research environment focused on monetary and financial stability. He collaborates closely with economists like Volker Wieland and Alexander Meyer-Gohde, contributing a legal perspective to policy-oriented research. His team includes research assistants and doctoral candidates working on digital regulation, financial law, and legal theory.
Thorsten Schmidt is Professor of Mathematical Stochastics at the University of Freiburg, succeeding Prof. Ernst Eberlein in the summer semester of 2015. He also serves as Senior Financial Engineer at MathFinance. Previously, he held professorships at Chemnitz University of Technology (2008-2015), Technical University Munich (2008), and University of Leipzig (2004 onwards). From 2017-2019, he was a Research Fellow at the Freiburg Institute for Advanced Studies (FRIAS) in a joint research group with the University of Strasbourg and USIAS on the topic of Linking Finance and Insurance. His research focuses primarily on financial and actuarial mathematics, stochastic processes, and statistics, with recent work on machine learning methods and their applications in financial mathematics and AI regulation. In Freiburg, his goal with his young team is to tackle complex challenges with improved mathematical models and apply these methodologies to various fields. Key Research Areas: Financial mathematics and credit risks Pricing and hedging of derivative financial products Statistics of stochastic processes Energy markets and nonlinear filter theory Machine learning applications in finance and insurance His recent publications show a strong trend toward integrating machine learning with traditional mathematical finance, particularly in risk management, insurance-finance arbitrage, and robust financial modeling. His work increasingly addresses ethical considerations in AI applications within finance, reflecting his broader interest in responsible AI development. Notable Awards: IDA Award Finance (2015) FRIAS-USIAS Research Fellow (2017/2018) IDA Award Machine Learning and AI (2020) MAPFRE Research Grant (2020) Luis Bachelier Fellow (2021) As Editor-in-Chief of Statistics and Risk Modeling and Associate Editor for Mathematical Finance and International Journal of Theoretical and Applied Finance, Schmidt plays a significant role in academic publishing. He leads the CRC 'Small Data' research center with Harald Binder, focusing on medical problems where disease progression must be estimated with few data points per patient. His LeanAI project, funded by the Vector Foundation, explores the connection between machine learning and theorem-proving software LEAN, aiming to develop AI that can translate between mathematics and formal proof systems. His laboratory work centers around the application of stochastic methods combined with machine learning to solve problems in finance and insurance where data is limited ('Small Data' initiative), with significant funding from DFG (€12 million for CRC Small Data) and the Carl Zeiss Foundation.
Yanglan Zu serves as a Lecturer in Accounting within the College of Business, Government and Law at Flinders University, bringing expertise from her PhD studies at the University of Technology Sydney. Her academic profile is anchored in interdisciplinary research bridging accounting principles with contemporary business challenges. Her educational foundation includes: PhD in Accounting, University of Technology Sydney Undergraduate Honours degree (institution unspecified) Research interests center on corporate sustainability and innovation , with growing emphasis on data analytics applications in accounting. Her work demonstrates consistent alignment with UN Sustainable Development Goals, particularly through investigations into climate change impacts on corporate behavior and FinTech's labor market effects. Current projects explore the intersection of environmental pressures, digital transformation, and governance structures. Recent publications reveal strong thematic cohesion around sustainable business practices, with notable emphasis on climate-related corporate responses and digital finance implications. The 2024-2025 research grant from AFAANZ supports ongoing work in these priority areas. Award highlights: 2024 EFMA Corporate Finance Best Paper Award for governance research 2024 UTS Vice-Chancellor's Learning and Teaching Citation 2024-2025 AFAANZ Research Grant funding As an educator, she coordinates advanced FinTech courses (BUSN8010 and BUSN1023) with a student-centered philosophy emphasizing analytical thinking and practical technology applications. Her teaching methodology actively incorporates digital tools to foster inclusive learning environments, reflecting her research interests in technological disruption.
Susan Scott is an Associate Professor in the Information Systems and Innovation Group at the Department of Management of The London School of Economics and Political Science. Her research focuses on the intersection of digital innovation and organizational change, particularly examining how information systems reshape work practices and risk management in financial services, travel, and publishing sectors. Education : PhD in Management Studies (University of Cambridge, 1993-1998), MSc in Analysis, Design and Management of Information Systems (LSE, 1991-1992), BA in History and Politics (SOAS, 1987-1990) Research Interests Digital Innovation Work Practices and Organizational Structuring Organizational Technologies Strategy, Structures, and Information Infrastructures Managing Change Materiality and Practice Research Her recent publications analyze the materiality of digital systems through case studies in book publishing and travel , while historical studies trace the evolution of financial infrastructure like SWIFT . She explores how metadata, software standards, and social media reshape organizational accountability and risk practices. Scientific Awards ICIS Best Paper in Field Award (2007) Nordic Exchange Scholarship (2000-2001) ESRC PhD Scholarship (1993-1996) Best Paper Nominations (Academy of Management, ECIS, ICIS) Selected for European Research Paper of the Year (2014, 2015) Grants and Professional Roles Recipient of grants from SWIFT , British Academy , and HEFCE . She has served on editorial boards of Information and Organization and Organization Science , and co-chaired conferences like IFIP 8.2 and ICIS .
Amy C. Edmondson is the Novartis Professor of Leadership and Management at Harvard Business School, holding a chaired position dedicated to human interactions in successful enterprises. She has been consistently ranked among Thinkers50's top management thinkers since 2011, achieving #1 status in 2021 and 2023. Her research focuses on psychological safety, teaming, and organizational learning, with significant contributions to understanding how organizations learn from failure. Key publications include The Fearless Organization (2019) and Right Kind of Wrong (2023), the latter winning the Financial Times and Schroders Best Business Book of the Year award. Her work spans organizational behavior, healthcare management, and innovation science, with articles in top journals like Administrative Science Quarterly and Harvard Business Review . Recent research trends show increasing focus on psychological safety dynamics in constrained environments, cross-boundary teaming, and the science of intelligent failure. Her 15 most recent articles (2021-2025) demonstrate expanding applications from healthcare to general management contexts, with growing emphasis on temporal dimensions of team learning and data-driven decision pitfalls. Major awards include: Thinkers50 #1 Management Thinker (2021, 2023) Thinkers50 Breakthrough Idea Award (2019) Financial Times Best Business Book Award (2023) Accenture Award for California Management Review (2003) Edmondson advises on organizational transformation through numerous Harvard Business School cases, including culture change initiatives at Microsoft, LEGO, and Cleveland Clinic. Her research has secured funding for studies on teaming in pharmaceutical development, smart city projects, and healthcare innovation. Current work examines psychological safety erosion in new hires and cross-boundary team dynamics in complex innovation projects.
Dr. Joshua M. Pearce is a Professor at Western University, holding appointments in the Department of Electrical & Computer Engineering and the Ivey Business School. He is the John M. Thompson Chair in Information Technology and Innovation at the Thompson Centre for Engineering Leadership & Innovation and a Fellow of the Canadian Academy of Engineering. His research focuses on open-source appropriate technology for sustainability and poverty reduction, spanning solar photovoltaics, 3D printing, distributed recycling, and policy analysis. Ph.D. in Materials Engineering from Pennsylvania State University Former Richard Witte Professor at Michigan Tech Editor-in-Chief of HardwareX Author of multiple open-source sustainability books His work integrates engineering, economics, and policy to solve global sustainability challenges. Recent projects include agrivoltaic systems, open-source medical devices, and climate-resilient food production frameworks. He leads the Free Appropriate Sustainability Technology (FAST) research group, which has produced over 200 open-access publications cited in top-tier journals like Renewable and Sustainable Energy Reviews (IF=16.3) and HardwareX (IF=2). Dr. Pearce's scientific contributions include: Fulbright-Aalto University Distinguished Chair Top 0.06% most cited scientist (Elsevier metrics) Leading open-source hardware certification frameworks Developing low-cost scientific instruments His research team includes cross-disciplinary collaborators from Mechanical Engineering, Environmental Science, and Policy Studies. The FAST group emphasizes practical open-source solutions for energy, water, and food security in both developed and low-resource contexts.
Benjamin Lee is a Senior Lecturer of Accounting and Director of Student Matters at the School of Accountancy, Singapore Management University. He serves as an SMU-X Academic Champion, driving experiential learning initiatives and promoting AI integration in accounting education and practice across multiple institutional roles. His academic background includes: Doctor of Philosophy in Management (Strategy and Technology Management), University of Glasgow, 2025 Master of Science in Business Analytics with Distinction, University of Surrey, 2017 Bachelor of Accountancy, Singapore Management University He is a Chartered Accountant of Singapore with prior industry experience as a consulting data analyst at Singapore's Accountant-General’s Department. Dr. Lee's research centers on AI-driven analytics (AIDA) applications for accounting problem-solving, including fraud detection, financial forecasting, and credit risk analysis. His work explores organizational dynamic capabilities in digital transformation and AI governance frameworks within professional service firms. His publication portfolio (2017-2025) reveals consistent focus on digital transformation across accounting and SME contexts, with recent emphasis on machine learning applications in fraud detection and public transport optimization. The research bridges academic theory with practical industry implementation through numerous case studies. His teaching excellence has been recognized through multiple awards including: Dean’s List for Teaching Excellence (2023-2025) SMU-X Excellent Teacher Award (2023) Howard Teall Award for Innovation in Accounting Education (2023) Wharton-QS Reimagine Education Digital Readiness Award (2022) While specific doctoral advising isn't documented, Dr. Lee actively mentors students through SMU-X experiential projects and industry collaborations. His industry partnerships with ISCA and media contributions to The Business Times demonstrate practical knowledge transfer beyond academia. He holds leadership positions including Director of Student Matters, SMU-X Academic Champion, and member of ISCA's AI Taskforce Sub-Committee on Policy and Regulation, where he shapes professional standards for AI implementation in Singapore's accounting sector.
Dr. Emre Sefer is an Associate Professor at the Faculty of Engineering, Özyeğin University, specializing in machine learning and bioinformatics. He holds a Ph.D. in Computational Biology from Carnegie Mellon University (2015), an M.S. in Computer Science from University of Maryland College Park (2011), and a B.S. in Computer Engineering from Boğaziçi University (2008). His research bridges graph machine learning with financial networks, bioinformatics, and data engineering. Ph.D.: Computational Biology, Carnegie Mellon University M.S.: Computer Science, University of Maryland College Park B.S.: Computer Engineering, Boğaziçi University Research focuses on applying machine learning to financial and biological networks: Bioinformatics : 3D genome modeling, protein modifications, transcriptomic analysis Graph Machine Learning : GNNs for fraud detection, drug response prediction, and network evolution Financial Networks : Cryptocurrency investment strategies, asset price prediction His lab (OzU Machine Learning in Finance and Bioinformatics Lab) develops graph-based deep learning methods for cross-domain applications, including NFT market analysis and chromatin structure prediction. He received the Best research paper award at Recomb 2016 for work on 3D genome architecture. Former postdoc at CMU Machine Learning Department Industry experience as Quantitative Strategist at Goldman Sachs and JPMorgan
Professor Alicia Rambaldi is Director of Research at the School of Economics, Faculty of Business, Economics and Law at the University of Queensland. She is also an Affiliate of the Centre for Efficiency and Productivity Analysis. Her academic career spans decades of research in econometric methodologies with applications to real-world economic problems. Professor Rambaldi's research interests focus on applied econometrics, time series econometrics, state-space models, and spatial time series models. She has made significant contributions to economic measurement, particularly in developing methodologies for computation of price indices for land and property, estimation with linked administrative data, and smoothing methodologies combining spatial and temporal information. Her work bridges theoretical econometrics with practical applications in housing markets, climate adaptation, and international economic comparisons. Her recent publications demonstrate a consistent focus on housing economics, with numerous papers on hedonic pricing models, property valuation, and the impact of environmental factors on real estate markets. She has also maintained a strong research program in international comparisons, purchasing power parity, and productivity analysis, often collaborating with leading researchers in these fields. Professor Rambaldi is actively involved in research supervision, currently advising on topics including language barriers faced by immigrants, distributive politics, and copula models. Her completed supervision includes significant work on purchasing power parities, development indexes, trade studies, and spatial analysis of tourism employment. Her current research projects include spatial time series models with applications to housing and land prices, transport demand modeling, and international comparisons. She has secured substantial funding from diverse sources including the Australian Research Council, Natural Hazards Research Australia, and government departments, demonstrating the applied relevance of her work. Professor Rambaldi leads an active research group within the Centre for Efficiency and Productivity Analysis, focusing on developing and applying advanced econometric techniques to address pressing economic measurement challenges. Her work often involves interdisciplinary collaboration with researchers in environmental science, urban planning, and transportation studies.
Dr Angus Armstrong is a Professorial Research Fellow at the UCL Institute for Global Prosperity, University College London, directing the ESRC-funded Rebuilding Macroeconomics network that has produced 80+ papers and 100+ public events. His work reinterprets macroeconomics as a knowledge-creation system under fundamental uncertainty. Research focuses on decision-making under uncertainty, collective intelligence, agent-based modelling, and macroeconomic policy within ecological economics, comparative systems, and experimental frameworks. He emphasizes institutions and social interactions as foundations of prosperity in complex adaptive systems. Analysis of 2015-2019 publications reveals concentrated expertise in Brexit fiscal impacts, devolution economics, monetary policy at zero bounds, and Scottish independence. Works integrate macroeconomic modeling with political economy, addressing UK/European policy challenges through institutional and uncertainty-focused lenses. Armstrong serves as Chief Economic Advisor to Lloyds Banking Group (2017) and leads the Rebuilding Macroeconomics network. His 'New Economics of Prosperity' teaching reimagines prosperity as emergent from socio-economic interactions rather than an end state, reflecting his view of economies as open systems defined by fundamental uncertainty.
Stephen Devadoss serves as Professor and Emabeth Thompson Endowed Professor in the Department of Agricultural and Applied Economics at Texas Tech University's College of Agricultural Sciences & Natural Resources, where he has established himself as a leading scholar in agricultural trade policy and international economics. He earned his PhD from Iowa State University and has developed an extensive research program examining global agricultural markets, trade barriers, and technological adoption in specialty crop production. His research primarily investigates international trade dynamics, with emphasis on tariff/non-tariff barrier impacts, mergers and acquisitions in agri-food sectors, and labor economics in fruit and vegetable production. His methodological approach frequently employs advanced econometric frameworks to address policy-relevant questions in agricultural economics. Recent publications (2023-2025) reveal concentrated focus on US-Mexico trade disputes (particularly regarding GM corn), economic viability of robotic harvesting technologies, and trade war repercussions across global commodity markets, demonstrating consistent responsiveness to emerging agricultural policy challenges. Scientific recognition includes: Lifetime Achievement Award from Southern Agricultural Economics Association Fellow of Western Agricultural Economics Association He has additionally received 16 research awards, 20 teaching awards (including AAEA Graduate/Undergraduate Teaching Awards), and 33 graduate mentoring awards. As an advisor, Dr. Devadoss has mentored students to publish over 85 journal articles and secure 61 awards, including 12 top dissertation and thesis awards from AAEA and WAEA, reflecting his exceptional commitment to graduate education.
Ana Isabel Dias Lopes is a full-time Associate Professor (with habilitation) at the Accounting Department of Lisbon University Institute (ISCTE-IUL), where she also serves as Director of the MSc program in Accounting and Executive Director of the post-graduation in Finance and Accounting Applied. She is an integrated researcher at BRU-Iscte - Business Research Unit (IBS) in Lisbon, Portugal. Her academic qualifications include a PhD in Management, Specialty in Accounting (2012) from ISCTE-IUL, a Master's degree in Accounting and Corporate Finance (1994-1997), and a Bachelor's degree in Business Management (1993). She recently completed her Aggregation in Management (2024) from the University of Lisbon. Dr. Lopes' research focuses on international financial accounting and reporting, with particular emphasis on integrated and sustainability reporting, business combinations, and corporate governance. Her work bridges theoretical frameworks with practical applications in accounting standards, particularly IFRS. She has published extensively in leading academic journals including 'Australian Journal of Management', 'European Business Review', and 'Meditari Accountancy Research', with significant citation impact (Google Scholar: 330 citations, h-index: 9). Her recent publications demonstrate a clear evolution from traditional financial accounting topics toward sustainability and ESG reporting, reflecting the changing landscape of corporate disclosure requirements. The trajectory shows increasing engagement with integrated reporting frameworks and sustainability standards like SASB. Dr. Lopes has made notable contributions to accounting education through pedagogical case studies and simulation-based teaching approaches, particularly for complex topics like foreign currency accounting and strategic performance management. She actively supervises graduate students and has extensive experience teaching across all academic levels, from undergraduate to executive education programs, with courses focused on financial accounting, business reporting, and consolidated financial statements.
Professor Harriet Bulkeley is a faculty member at Durham University, affiliated with the Department of Geography within the Faculty of Social Sciences . Her research focuses on urban responses to climate change, nature-based solutions, transnational environmental governance, and the politics of urban sustainability transitions. Research Interests : Climate change governance in urban contexts Nature-based solutions for sustainable cities Transnational policy networks Urban political ecology Biodiversity and climate policy intersections Supervisions : Daniella Rolle (MA, current) Amy Robson (PhD, completed) Robbie Gilmore (PhD, current) Erwin Nugraha (PhD, completed) Rebecca Pearl-Martinez (PhD, current) Andrea Elizabeth Armstrong (PhD, completed) Carlos Tornel (PhD, completed)
Fabienne Berger-Remy is a Senior Lecturer at Dauphine University – PSL, accredited to supervise research (HDR). She transitioned to academia in 2014 after extensive professional experience in marketing, brand management, and consumer goods consulting, with prior affiliations at IAE Paris Sorbonne. Research Focus : Multidisciplinary studies on marketing profession transformations, work-brand-consumption dynamics, and intangible capital creation. Publications in M@n@gement , Journal of Business Research , and Journal of Marketing Management highlight her work on digital transformation, brand crisis management, and organizational psychology. Publications reveal trends in digital marketing impacts, crisis communication strategies, and intellectual capital dynamics. Her work bridges theoretical frameworks with practical marketing challenges, including brand dissonance and datafication.
