Find Academic Supervisors

• Finance
• Liquidity
• Market Microstructure
• +6 more

Kalle Rinne is a Visiting Researcher in the Department of Finance at the University of Luxembourg, with additional affiliation at Aalto University School of Business in Finland. His research focuses on financial markets, particularly liquidity, market microstructure, and institutional trading behavior. Dr. Rinne's research interests span several key areas in finance: Liquidity provision and market impact Institutional investor behavior and trading patterns Hedge funds and alternative investments Marketplace lending and fintech innovations Short-term price reversals and market inefficiencies His recent publications, including the notable "Nonstandard Errors" in the Journal of Finance (2024), demonstrate his expertise in empirical finance and market microstructure. Dr. Rinne's work often involves large-scale data analysis and collaborative research across international institutions, with particular emphasis on how institutional liquidity needs impact market prices as shown in his Review of Financial Studies publication "Dash for Cash" (2020). Dr. Rinne has received recognition through publications in top finance journals including: Journal of Finance Review of Financial Studies Journal of Empirical Finance As a supervisor, Dr. Rinne offers opportunities for research in cutting-edge areas of finance, with emphasis on empirical methods and real-world market applications. His international collaborations provide students with potential opportunities for cross-institutional research and exposure to diverse financial markets. Dr. Rinne leads research on market liquidity and institutional trading behavior, with current projects examining how institutional liquidity needs impact markets, the performance of alternative investment vehicles, and the dynamics of marketplace lending platforms as evidenced by his recent work including "The Performance of Marketplace Lenders" (2023) and "Does Family Matter? Venture Capital Cross-Fund Cash Flows" (2023).

Neil CumminsView profile

Professor

• Economic history
• Demography
• Social mobility
• +3 more

Neil Cummins is a Professor of Economic History at the London School of Economics (LSE), specializing in economic history, demography, and social mobility. His research combines 'big data' analytics with historical records to explore long-term socio-economic transformations. Key areas of focus include fertility decline in France and England, plague mortality in 17th-century London, and long-run social mobility. Cummins leverages digitized genealogical data and probate records to address questions about modern economic behavior. He has authored over 30 papers and is affiliated with LSE's Department of Economic History, collaborating with scholars like Greg Clark and Cormac Ó Gráda. His work highlights the persistence of class divides (e.g., the 'underclass' status of the Irish in England) and reveals wealth dynamics across centuries. Notable projects include Families of England , analyzing surname-based social mobility, and uncovering hidden wealth among elites. Cummins' research has been featured in major media outlets including the BBC, Guardian, and Vox EU . He holds a comprehensive academic profile with administrative roles at LSE and maintains an open-access research website ( neilcummins.com ). His current investigations span educational impacts, industrial revolution dynamics, and the socio-economic consequences of migration patterns in England.

• Biomechanics
• Athletic Performance Optimization
• Sports Injury Prevention
• +3 more

Dr. John Wannop is an Assistant Professor in the Faculty of Kinesiology at the University of Calgary, specializing in biomechanics. He holds a PhD in biomechanics from 2012 and has served as an adjunct professor in the Human Performance Lab. His research focuses on optimizing athletic performance and injury prevention through footwear, sport surfaces, and apparel. Key interests include traction dynamics, midsole mechanics, and gender-based biomechanical differences. Education: PhD in Biomechanics (2012). Previous roles include adjunct professor and co-editor of Footwear Science . Research interests emphasize footwear-traction interactions, surface biomechanics, and apparel effects on movement. Recent work explores carbon-fiber plates, midsole stiffness, and artificial turf properties. His 2023 studies highlight midsole thickness impacts on performance and injury risk across genders. Publications reflect a focus on running economy, injury mechanics, and sport-surface engineering. Over 30 peer-reviewed articles span 2009–2025, with notable work on cleat slipping and basketball footwear disparities. Received the 2011 Young Investigator Award for footwear traction research. Collaborates with labs like the Human Performance Lab, advancing applied biomechanics in sports equipment design.

Janie WilsonView profile

Professor

• Biomechanical Modeling
• Knee Osteoarthritis
• Gait Analysis
• +3 more

Janie Wilson is a Professor in the School of Biomedical Engineering at Dalhousie University, Halifax, Canada. Her research focuses on biomechanical and statistical modeling of knee osteoarthritis (OA) development and surgical outcomes. She leads the Dynamics of Human Motion lab, specializing in gait analysis using motion capture and force platforms. Key projects include studying gait mechanics pre- and post-total knee replacement (CIHR-funded), longitudinal OA progression models (NSHRF-funded), and joint kinetics modeling (NSERC-funded). Her work integrates biomechanics with clinical applications to optimize OA treatments. Notable studies explore obesity and sex influences on OA biomechanics, barefoot running effects, and implant migration post-surgery. Dr. Wilson collaborates on interdisciplinary projects, including pandemic impacts on mobility and robotic knee replacement trials. Education: PhD (details unspecified) Research Interests: knee OA pathomechanics, gait biomechanics, musculoskeletal modeling, surgical outcomes, and wearable sensor applications. Her lab hosts diverse OA cohorts, from asymptomatic individuals to post-surgical patients, generating extensive datasets for predictive modeling. Recent work highlights machine learning for patient stratification in TKAs, telehealth telesurveys during the pandemic, and RSA imaging precision in arthroplasty. Findings emphasize gait asymmetry, muscle activation patterns, and joint load distribution as critical OA progression markers.

• Data Compression
• Indexing Data Structures
• Algorithms
• +7 more

Giovanni Manzini is a Professor of Computer Science at the University of Pisa's Department of Computer Science. He holds a PhD in Mathematics from the Scuola Normale Superiore di Pisa and has held visiting roles at MIT, Johns Hopkins University, and the University of Melbourne. Previously, he served as Assistant Professor at the University of Torino and Associate Professor at the University of Eastern Piedmont. His research focuses on designing algorithms and data structures for data compression, indexing massive datasets, and computational biology. Notable contributions include advancements in the Burrows-Wheeler Transform (BWT), grammar-based compression, and matrix operations optimization. He received the ACM Paris Kanellakis Theory and Practice Award (2022) and the 2023 Test-of-Time Award from the European Symposium on Algorithms. His recent work explores two-dimensional string repetitiveness, BWT-based indexing, and green computing techniques for matrix operations. Manzini has contributed to over 100 conference program committees since 2020, including DCC, ALENEX, and SPIRE. His teaching spans courses on algorithms, programming languages, and numerical analysis. Current courses include Algorithms and Data Structures for Data-intensive Applications and an undergraduate laboratory course on programming fundamentals. He leads software projects such as MMRepair (grammar-compressed matrix multiplication), BigBWT (BWT construction via prefix-free parsing), and EZcount (microRNA quantification tools). He also mentors the Scuola Ortogonale under the Elicsir Foundation, promoting STEM education.

Edouard AmourouxView profile

Senior Lecturer

• Computer Vision
• Higher Education
• Modelling and Simulation
• +3 more

Edouard Amouroux is a Senior Lecturer in Computer Science at the School of Computing Technologies, RMIT University, Australia. His research spans computer vision, higher education pedagogy, and agent-based modeling. He focuses on interdisciplinary applications such as avian brood parasitism analysis, fraud detection systems, and energy consumption optimization through agent-based simulations. Research Interests: His work integrates computational methods with real-world challenges, including: Computer vision techniques for pattern recognition and biological studies Agent-based modeling for disease spread and energy systems Pedagogical innovation in project-based learning and interdisciplinary education Multi-scale simulation frameworks for complex systems Publications: His recent work highlights advancements in AI-driven fraud detection, SCADA-integrated energy systems, and epidemic modeling. He has developed the GAMA simulation platform, a widely used tool for multi-agent and spatially explicit modeling. Collaboration & Supervision: Open to collaborative projects in technology education and industry partnerships. Supervises research on converging technology-pedagogy for startups and improving feedback processes in computing education. Contact: Available for advisory roles, speaking engagements, and media inquiries via email or ORCID (0000-0002-0547-5051).

John Mellor-CrummeyView profile

Professor

• High Performance Computing
• Parallel Computing
• Performance Analysis
• +5 more

John Mellor-Crummey is a Professor of Computer Science and Electrical and Computer Engineering at Rice University. He leads research in high-performance parallel computing, focusing on performance analysis tools (HPCToolkit), compiler optimizations, and synchronization algorithms. His work on scalable synchronization earned the 2006 Dijkstra Prize, and he was named an ACM Fellow in 2013. Education: PhD, Computer Science, University of Rochester (1989) BSE, Electrical Engineering and Computer Science, Princeton University (1984) Research Interests: His work spans high-performance computing tools, parallel compiler technology, and performance modeling. He develops frameworks like HPCToolkit for exascale systems and explores GPU acceleration for stencil computations. His research also addresses data race detection and scalable parallel programming models. Grants & Projects: Principal investigator for the Exascale Computing Project and contributor to OpenMP standards. His HPCToolkit project is supported by the Exascale Computing Project. Awards: ACM Fellow (2013) Dijkstra Prize in Distributed Computing (2006) Teaching: Recent courses include Multi-core Computing and Parallel Programming at Rice University. Labs/Teams: HPCToolkit team, OpenMP Language Committee, and the Rice Coarray Fortran project.

John TurnerView profile

Professor

• Economic History
• Financial History
• Banking
• +3 more

John Turner is a Professor of Finance and Financial History at Queen’s University Belfast since 2005. He holds leadership roles including Director of the Queen’s University Centre for Economic History and the Long Run Institute. His research focuses on banking crises, financial bubbles, and long-term financial market evolution. Notable works include Banking in Crisis (2014) and Boom and Bust (2020), the latter recognized as a Financial Times Best Economics Book. Academic honors include the Wadsworth Prize and Fellow of the Academy of Social Sciences. Turner has held visiting roles at institutions like Harvard Business School and the London School of Economics. His research interests span economic history, law and finance, and banking systems. Key projects include studies on the UK stock market’s evolution and historical corporate ownership. He advises on policy via the Northern Ireland Productivity Forum and contributes to journals like the Economic History Review . His work addresses sustainable development goals related to economic stability and financial resilience.

Thomas SampsonView profile

Associate Professor

• International Trade
• Brexit
• Economic Growth
• +3 more

Thomas Sampson is an Associate Professor in the Department of Economics at the London School of Economics (LSE). He holds affiliations with the Centre for Economic Performance (CEP), the Centre for Economic Policy Research (CEPR), and CESifo. His expertise focuses on International Trade, Brexit analysis, and Economic Growth. Sampson holds a PhD in Economics from Harvard University, an MSc from LSE, and a BA in Mathematics from the University of Cambridge. His research explores the economic impacts of Brexit, trade policies, and globalization. Notable contributions include analyses of Brexit's effects on trade, inflation, and foreign investment. Sampson has also studied technology diffusion in global value chains, wage inequality driven by trade, and policies affecting financial access in emerging markets. He has advised institutions such as the Bank of England and the Bank of Papua New Guinea, and his work frequently appears in top journals like the American Economic Review and the Quarterly Journal of Economics. Sampson teaches courses on international economics and economic policy, reflecting his commitment to bridging academic research and policy relevance. His research affiliations include the CEP Trade Research Programme and the 'UK in a Changing Europe' initiative. Sampson's work emphasizes rigorous empirical analysis of contemporary economic challenges, particularly those arising from political and policy changes in the international arena.

• Experimental Economics
• Behavioral Economics
• Public Economics
• +3 more

Luca Panaccione is an Associate Professor at the Department of Economics and Law within the Faculty of Economics at Sapienza University of Rome. His work focuses on experimental and behavioral economics, with particular interest in public economics, financial literacy, and institutional design. He has conducted extensive research on topics such as coordination failures in banking systems, moral hazard in contractual relationships, and the impact of social influence on economic decisions. His research employs controlled laboratory experiments to explore mechanisms like fairness, cooperation dynamics, and behavioral spillovers in public good provision. Notable studies include analyzing how lockdowns affected fairness norms during the pandemic and investigating gender differences in social conformity scenarios. His experimental methods often combine theoretical models with empirical testing to uncover behavioral patterns in strategic interactions. Panaccione’s publications span from 2000 to 2024, reflecting a consistent focus on behavioral mechanisms in economic systems. While no specific awards are listed, his output demonstrates sustained academic engagement in core areas like experimental design and policy-relevant behavioral insights. No advising or grants information is provided in the source text.

Omer MoavView profile

Professor

• Economic Growth
• Economic Development
• Institutional Economics
• +2 more

Omer Moav is a Professor of Economics at the University of Warwick, affiliated with the Department of Economics within the College of Social Sciences. His research focuses on economic growth, development, institutional economics, and historical economic processes. He has collaborated with scholars like Oded Galor and Luigi Pascali on seminal works such as The Origin of the State (2022) and Natural Selection and the Origin of Economic Growth (2002). His teaching includes courses on development economics and advanced macroeconomic analysis. Moav’s research explores long-term economic dynamics, including the interplay between geography, institutions, and human capital. Notable contributions include studies on the Neolithic Revolution’s impact on life expectancy and the role of property rights in shaping economic trajectories. His work has been featured in outlets like the Journal of Political Economy and Washington Post . His recent focus includes experimental economics (e.g., microfinance dynamics) and critiques of academic publishing practices, as seen in his social media threads on editorial processes in economics.

• Corporate Finance
• Private Equity
• Capital Structure
• +7 more

Filippo Ippolito is an Associate Professor of Finance at Universitat Pompeu Fabra (UPF) in Barcelona and is affiliated with the Barcelona School of Economics (BSE). He holds a PhD in Finance from Saïd Business School, Oxford University, and has over two decades of experience in academic research and teaching. He serves as Director of the Master in Financial Economics and the Summer School in Finance at BSE, and previously held positions at Bocconi University in Milan. His research centers on corporate finance, with a focus on corporate policies, capital structure, liquidity management, private equity, and financial frictions. He investigates how informational and contractual frictions affect investment decisions, payout policy, and corporate financing. His work often explores the role of banks and financial intermediaries in providing liquidity insurance and managing risk. The recent publications of Filippo Ippolito span top journals such as the Journal of Finance , Journal of Financial Economics , and Journal of Monetary Economics . The dominant themes across his articles include corporate liquidity, debt structure, monetary policy transmission through bank lending, and private equity contracting. His research combines theoretical modeling with empirical analysis, often leveraging large datasets and presenting findings at premier academic and policy institutions. Scientific Awards: Best Paper Award for the Journal of Financial Intermediation/FIRS 2020 Best Paper in Corporate Finance, Midwest Finance Association 2012 Awarded by SANFi (Santander Financial Institute), 2014 Filippo Ippolito has advised numerous co-authors and contributed to major research projects, often in collaboration with institutions such as the European Central Bank, Federal Reserve, and Bank of Italy. His work has been supported by research networks like CEPR and NBER. He has extensive experience presenting at top conferences including the American Finance Association, European Finance Association, and NBER Summer Institute, and has engaged with policy audiences at central banks across Europe and the U.S. He is actively involved in the academic community through his roles at UPF and BSE, where he contributes to shaping graduate finance education and fostering research excellence in corporate finance and financial intermediation.

• Biomechanics
• Human Movement Analysis
• Wearable Technologies
• +5 more

Liangliang Xiang is a Postdoctoral Researcher at the Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden, affiliated with the MoveAbility Lab under the Division of Aerospace, Moveability and Naval Architecture. His research focuses on human movement biomechanics, particularly walking and running under pathological conditions including stroke, osteoarthritis, and sports injuries. By integrating wearable technologies , artificial intelligence , and digital twin modeling , he develops predictive systems for movement patterns, bone stress, and rehabilitation outcomes. This work bridges engineering and medical sciences to advance personalized treatment strategies, injury prevention protocols, and performance optimization in clinical and athletic contexts. Dr. Xiang's contributions within the MoveAbility Lab emphasize translational applications of biomechanical engineering, with potential impacts on rehabilitation robotics, gait analysis systems, and data-driven healthcare interventions for mobility disorders.

• Medical Education
• Healthcare Access
• Blended Learning
• +3 more

Shirra Moch is a Senior Lecturer at the University of the Witwatersrand's Centre for Health Science Education. She holds qualifications including BPharm, MEd, MSc Med, and BScHons(Pharm). Her research focuses on medical education, healthcare access, and blended learning, particularly in post-pandemic contexts. Dr. Moch has published extensively on topics such as antibiotic usage in ICUs, colorectal cancer treatment costs, and student-run clinic frameworks. She leads initiatives exploring institutional culture’s impact on medical learners and has contributed to studies on patient medication adherence and HIV-associated neuropathy analgesia. Her work spans over three decades, with notable contributions to psychiatry and pharmacy practice. Education: BPharm, MEd, MSc Med, and BScHons(Pharm). Key Research Interests: Medical education pedagogy, healthcare cost disparities, and qualitative studies on clinical training environments. Recent trends in her articles emphasize post-COVID educational adaptation and healthcare equity issues in South Africa. Awards: No specific awards listed. Grants/Advising: Not explicitly detailed, but her publications suggest sustained research funding and mentorship roles in collaborative projects. Labs/Teams: Affiliated with the Centre for Health Science Education, contributing to interprofessional education and clinical training frameworks.

• Machine Learning
• Data Mining
• Temporal Data Analysis
• +3 more

Keith A. Pray is an Adjunct Lecturer in the Computer Science department at Worcester Polytechnic Institute (WPI). He concurrently serves as a section lead for the Electronic Systems sector at BAE Systems. His research focuses on temporal data analysis, machine learning, and automated UI generation. He holds a BS (1998), MS (2004), and is pursuing a PhD (in progress) in Computer Science from WPI. Education: Bachelor of Science in Computer Science, WPI, 1998 (High Distinction) Master of Science in Computer Science, WPI, 2004 PhD candidate in Computer Science, WPI Research Interests: Keith’s work emphasizes mining temporal association rules from complex data, automated user interface generation, and event detection in time series sequences. His system ‘ASAS’ is widely used at WPI. He holds a provisional patent for his data modeling innovations. Awards: Geo. I. Alden Fellowship (2002) Professional Roles: He led projects at the MA Norfolk County Sheriff's Office and served as a Research Engineer at WPI’s Bioengineering Institute (2003–2004). He runs the Kapowee incubator service and has held leadership roles in ACM, UPE, and campus organizations. Teaching: Courses include CS 3043 (Social Implications of Information Processing) and CS 525W (Web Ware).