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Frédéric Vrins is a Professor at the Louvain School of Management (LSM) , UCLouvain , affiliated with the Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM) and Louvain Finance (LFIN). His work bridges theoretical and applied finance, with a focus on risk modeling, portfolio optimization, and machine learning applications. His research interests include: Quantitative Finance: Derivatives pricing, stochastic processes, and model calibration. Risk Management: Credit concentration risk, recovery rates, and wrong-way risk in financial markets. Portfolio Optimization: Mean-variance strategies, diversification metrics, and robustness under parameter uncertainty. Machine Learning in Finance: Applications to recovery rate prediction and option pricing frameworks. Recent publications highlight trends in: Credit risk modeling for Collateralized Loan Obligations (CLOs) and consumer credit. Machine learning integration in derivatives pricing and portfolio construction. Stochastic methods for Brownian bridges, CDS spreads, and recovery rates. Empirical studies on Loan-to-Value policies and business cycle impacts. Affiliations and locations: Louvain School of Management (LSM) - Building B, Chaussée de Binche 151, 7000 Mons Louvain Finance (LFIN) - Traverse d'Esope 1, 1348 Louvain-la-Neuve Louvain School of Management (LSM) - BATA Building, Chaussée de Binche 151, 7000 Mons

• Finance
• Quantitative Finance
• Risk Management
• +3 more

Helen Lu is an Associate Professor of Accounting and AI at Vlerick Business School and a Senior Lecturer at the University of Auckland (FinTech Lead for the Master's in Business Analytics). She holds a PhD in Finance from Massey University, an MBA from London Business School, a Master's in Economics (Macroeconomics) from Peking University, and a Bachelor's in Computer Science Engineering from Northern Jiaotong University. Her research focuses on integrating AI into accounting and finance, including valuation, return predictability, ESG disclosure, executive succession, and FinTech disruptions. Before academia, Lu worked in investment banking at Credit Suisse and Deutsche Bank, specializing in capital raising and cross-border M&A in Asia-Pacific. Her work bridges academic research and industry practice, particularly in leveraging AI to solve complex financial and accounting challenges. She has published in top journals like the Journal of Accounting Research , Journal of Banking and Finance , and Journal of International Money and Finance . Her recent publications emphasize AI-driven valuation methods, ESG disclosure analysis, and the interplay between executive transitions and financial reporting. Her articles often highlight the application of machine learning to traditional finance problems, such as tail risk assessment and anomaly strategy correlations. Lu’s expertise spans multiple domains, with a focus on transforming data-driven technologies into actionable insights for financial decision-making. She actively contributes to academic discourse on sustainability metrics, particularly green asset valuation and corporate governance during crises.

• Applications of AI in Accounting and Finance
• Valuation
• Return Predictability
• +3 more

Pierre Giot is a Visiting Professor at University College London (UCL) and holds a Doctorate in Economic Sciences from Université Catholique de Louvain, specializing in econometric studies on financial and commodity market price formation. Civil Engineer in Electronics Diploma in Economics Master of Arts in Economics Doctor (1999) in Economics His research spans quantitative finance , market microstructure , risk management , and private equity , with recent focus on predictive regression models, valuation ratios, and financial returns in art markets. Key publications include studies on private equity fundraising (2017), risk-taking in private equity funds (2014), and art market valuation (2014). His work integrates econometric modeling and empirical finance. Josseph de la Vega Scientific Prize (2005) French Finance Association Scientific Prize (2010) He has supervised doctoral research on topics like sovereign wealth funds, private equity investment behavior, and stock market valuation, collaborating with institutions such as UCL and the Centre for Operations Research and Econometrics (CORE).

• Quantitative Finance
• Market Finance
• Microstructure of Financial Markets
• +4 more

Philippe Lebeau serves as a Postdoctoral Researcher at the House of Sustainable Transitions within the Faculty of Economic and Social Sciences and Solvay Business School at Vrije Universiteit Brussel. His work focuses on sustainable urban logistics systems, particularly last-mile delivery solutions and electric vehicle integration in freight transport. He actively contributes to major European research initiatives including the Green Deal-aligned SUPPORT FOR LOW-EMISSION URBAN LOGISTICS and CodeZERO projects. His research spans sustainable logistics, electric vehicle adoption, e-commerce delivery systems, and urban freight policy. Lebeau employs multi-actor decision-making frameworks like MAMCA to analyze stakeholder perspectives on green logistics solutions. His work bridges academic research with practical urban mobility challenges, particularly focusing on consumer behavior in last-mile delivery systems and the decarbonization potential of cargo bikes and autonomous delivery robots. Lebeau's recent publications demonstrate strong trends in sustainable urban logistics innovation, with significant emphasis on zero-emission delivery solutions, consumer preference analysis, and the application of behavioral frameworks to logistics challenges. His work increasingly integrates e-commerce dynamics with sustainable transportation solutions, highlighting the complex interplay between consumer expectations and environmental goals in modern delivery systems. As a PhD committee member and master's thesis supervisor, Lebeau has guided numerous students through research on urban logistics topics including Ecozone acceptance, cargo bike implementation, and sustainable e-commerce practices. His collaborative research projects have secured substantial funding from European Union programs focused on green urban mobility solutions. Lebeau leads research within the House of Sustainable Transitions, working with interdisciplinary teams on projects addressing urban freight decarbonization. His work connects VUB researchers with industry stakeholders, policymakers, and community groups to develop practical solutions for sustainable urban logistics challenges, particularly focusing on the Brussels metropolitan area as a living laboratory for green delivery innovations.

• Logistics
• Sustainable Urban Transportation
• Electric Vehicles
• +5 more

Kristien Smedts is an Associate Professor at the Faculty of Economics and Business (FEB) at KU Leuven, specializing in financial markets, risk management, and econometric modeling. She actively contributes to research on macroeconomic uncertainty, credit risk, and financial market microstructure. Faculty of Economics and Business (FEB), KU Leuven Research Focus: Financial Markets, Risk Management, Econometrics Teaching: Investments, Bank- en Financiewezen (Financial Economics) Her work explores dynamic correlations between asset classes, extreme market movements, and regulatory impacts on banking systems. Recent publications analyze macroeconomic uncertainty effects on stock returns, novel copula models for stock-bond comovement, and machine learning applications in credit risk assessment. Notable research projects include "Risk Management of Illiquid Investments" and "Financial Structures", with a focus on promoting market stability and policy development in entrepreneurial finance.

• Financial Markets
• Risk Management
• Banking Regulation
• +3 more

Filip Van den Bossche serves as Professor and Vice Dean of Education and Students at the Faculty of Economics and Business (FEB) of KU Leuven, where he is affiliated with the Department of Decision Sciences and Information Management and the Operations Research and Statistics Research Group (ORSTAT). He also holds membership in the KU Leuven Institute for Mobility and has been a visiting professor at IÉSEG School of Management in Lille, France since 2016. His administrative leadership extends to the FEB Council, Board, International Mobility and Admissions Committee, and multiple university education committees. His research expertise spans applied econometrics, time series analysis, and composite indicator methodology, with primary applications in road safety and transportation policy. He has developed macroscopic safety models, uncertainty assessment frameworks for safety indices, and evaluation tools for road safety campaigns. His work also addresses market efficiency in finance through adaptive markets hypothesis testing and robust CSR investment screening, alongside healthcare logistics optimization for organ transplant systems. Teaching responsibilities include Statistics for Data Science, Predictive Business Analytics, and time series forecasting courses. Analysis of his 15 most recent publications reveals consistent methodological focus on econometric modeling and time series analysis applied across transportation safety, financial markets, and healthcare logistics. The research demonstrates evolution from foundational road safety modeling toward interdisciplinary applications in sustainable development goals and pandemic response evaluation, with growing emphasis on composite indicators and uncertainty quantification. Cross-cutting themes include policy evaluation, optimization under constraints, and translation of quantitative methods to real-world decision support. As an educational leader, Van den Bossche has directed multiple academic programs since 2012 and currently oversees FEB's educational strategy as Vice Dean. His current sabbatical project (2025-2026) focuses on time series analysis for Sustainable Development Goals. He actively contributes to ORSTAT's research on operations research applications and the KU Leuven Institute for Mobility's interdisciplinary transportation studies, fostering collaborations between business, economics, and public policy domains.

• Applied Econometrics
• Time Series Analysis
• Forecasting
• +3 more

Renaud Detry is an Associate Professor at KU Leuven, Belgium, with dual appointments in the Department of Electrical Engineering (ESAT) and the Department of Mechanical Engineering. He is a member of the Leuven.AI Institute and the ELLIS Society, and serves as an associate editor for IEEE Transactions on Robotics and conference series like IROS and ICRA. His research focuses on robot learning, computer vision, and their applications in manufacturing, agriculture, healthcare, space robotics, and planetary exploration. He holds a Ph.D. and has prior roles as an Assistant Professor at UCLouvain and Group Lead at NASA JPL. His work includes projects like the robotic construction system for shotcrete digitization (RoBétArmé) and space robotics for Mars Sample Return. He advises students such as Louis Hanut, Yurui Du, and Pinhao Song, and collaborates with institutions like ULiege and KTH. His recent publications emphasize adaptive robotic frameworks, uncertainty-aware learning, and multi-task diffusion policies. Notable awards include a Best Presentation Award at the ECCV 2022 Workshops. His grants include leadership in projects like Neurobotics (2022–2026) and Learning Partially-factorized Manipulation Tasks (2021–2023). He maintains active roles in academic networks, including the Council of the Faculty of Engineering Science and departmental councils. His lab focuses on bridging perception, learning, and control for real-world robotic applications in challenging environments.

• Robotics
• Computer Vision
• Robot Learning
• +3 more

Koen Putman is a prominent academic researcher and administrator at Vrije Universiteit Brussel (VUB), with roles spanning the Faculty of Medicine and Pharmacy, the Health Sciences Research Center for Digital Medicine, and the Radiotherapy Interuniversity Research Centre for Health Economics. His primary academic rank is Researcher, and he holds leadership positions including Head of Research Groups and Departmental roles. Putman holds a PhD in Social Health Sciences from VUB (2006) and advanced certifications in Health Economics from the University of York (2013–2017). His research focuses on stroke rehabilitation, chronic pain management, healthcare cost analysis, and health economics. Notable projects include evaluating cost-effectiveness of interventions for suicide prevention, optimizing oncology resource allocation, and studying return-to-work outcomes after traumatic brain injury. He leads large-scale research initiatives such as the OZR Basic Funding for the REDM research group (2024–2029). Putman has authored over 200 peer-reviewed articles, with recent work emphasizing economic evaluations of healthcare policies, rehabilitation efficacy, and predictive modeling in clinical pathways. He received the B.A.E.F. Fellowship (2006) and Fulbright Fellowship (2005). His advisory roles include supervising doctoral candidates and overseeing clinical trials in pain management and spinal surgery outcomes.

• Health Economics
• Stroke Rehabilitation
• Health Services Research
• +3 more

María Alejandra Díaz Pinilla serves as a postdoctoral researcher and scientific employee within the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB), Belgium. She actively contributes to the Human Physiology and Sports Physiotherapy Research Group, driving innovation in biomechanics and rehabilitation technology development. Her research spans Biomechanics , Rehabilitation Robotics , and Sports Physiotherapy , with specialized expertise in Muscle Synergies and Human-in-the-loop Optimization . She pioneers methods for robot-assisted movement therapy, prosthetic integration, and predictive musculoskeletal simulations, focusing on lower extremity rehabilitation and sports recovery applications. Her work bridges engineering precision with clinical rehabilitation needs through rigorous biomechanical analysis. Analysis of her recent publications reveals a decisive shift toward personalized rehabilitation systems, where muscle synergy metrics and human-in-the-loop frameworks optimize robotic interventions. This approach demonstrates significant potential for stroke recovery and amputation rehabilitation, particularly in ankle/foot biomechanics and return-to-sport protocols. Her scientific recognition includes: Xsens Biomechanics Challenge 2022 - Third Place Díaz Pinilla actively shapes the field through conference leadership (including chairing BioRob 2024) and peer review for IEEE Robotics and Automation Letters. As a core member of VUB's Human Physiology and Sports Physiotherapy Research Group, she fosters international collaborations visible in her research network, with emphasis on translating biomechanical insights into clinical rehabilitation tools. Her involvement in the 2023 Women in STEM campaign highlights commitment to diversity in academic engineering.

• Biomechanics
• Rehabilitation Robotics
• Sports Physiotherapy
• +4 more

Rosanne Vanpée is a Lecturer in Finance at the Finance Research Group of KU Leuven, primarily operating at its Brussels campus. Her research focuses on equity home bias, international portfolio allocation, bond markets, and credit ratings, with a strong emphasis on sustainable finance and sovereign credit risk modeling. Projects: Scaling-up sustainable finance solutions (2021-2025) as Promotor, Essays on sustainable finance (2019-2025) as Co-promotor, and Sovereign credit risk models (2018-2024) as Promotor. Key collaborations: Worked with Prof. Baesens, Prof. Lončarski, and Dr. Anand on machine learning applications in sovereign risk assessment. Her recent publications highlight trends in sustainable finance, sovereign credit risk, and EU policy implications. She has contributed to interdisciplinary projects involving transportation economics and green tax reforms. Advising: Supervised doctoral research including "Essays on sustainable finance" and "Sovereign credit risk models." Policy Impact: Engaged in EU-focused studies on car affordability and green tax reforms.

• Equity home bias
• International portfolio allocation
• Bond markets
• +3 more