جست‌وجوی استاد و پژوهشگر

• Financial Econometrics
• Asset Pricing
• Portfolio Choice
• +۴ مورد دیگر

Paolo Zaffaroni is Professor of Financial Econometrics at the Department of Finance, Imperial College Business School. He holds affiliations with the Artificial Intelligence Network and Imperial Business Analytics at Imperial College London. His academic career includes teaching roles at the University of Rome La Sapienza, London School of Economics (LSE), and the University of Cambridge. Education: Bachelor's Degree in Economics and Statistics (110/110 Lode) from Sapienza University of Rome MSc in Econometrics and Mathematical Economics (Ely Devons Prize recipient) from LSE PhD in Econometrics from LSE Research focuses on empirical asset pricing, portfolio choice, econometric theory, and financial econometrics. Key interests include factor models, volatility dynamics, and conditional asset pricing. His work addresses anomalies in financial markets and robust portfolio optimization. Recent publications explore conditional asset pricing frameworks, dynamic factor models, and testing beta-pricing models using large datasets. His econometric theory contributions include advancements in factor estimation and generalized dynamic factor models. Zaffaroni serves as a quantitative consultant in asset and risk management, and teaches executive courses for financial institutions. He has no listed scientific awards but maintains active research collaborations across global institutions. His advisory and grants activities are not explicitly detailed in available texts, though his extensive publication record indicates sustained research funding. No specific lab affiliations are mentioned, though his work aligns with Imperial's Business Analytics initiatives.

Justine Hastingsمشاهده پروفایل

استاد مدعو

• Public Economics
• Behavioral Economics
• Labor Economics
• +۳ مورد دیگر

Justine Hastings is an Adjunct Professor of Economics at the University of Washington and Vice President of People-Centered Science at Amazon. She previously held tenured professorships at Brown University and Yale University, with research affiliations at the National Bureau of Economic Research (2003-2023). Her PhD in Economics is from UC Berkeley. Research focuses on: Behavioral interventions in public policy design Education and labor market outcomes Consumer finance and healthcare economics Experimental methods in policy evaluation Her recent publications analyze social safety net programs, education policy impacts, and healthcare interventions, using field experiments and large-scale data analysis. She founded the nonprofit Research Improving People's Lives (RIPL) and served on the Consumer Financial Protection Bureau's Academic Research Council. Her work has been cited in Nobel Prize background materials and influences policy design internationally. She received the National Diversity Counsel's Top 100 Diverse Leaders in Tech award (2021).

Matti Suominenمشاهده پروفایل

استاد

• Finance
• Financial Economics
• Asset Pricing
• +۳ مورد دیگر

Matti Suominen is a Professor of Finance at the Department of Finance, Aalto University School of Business, a role he has held since September 2004. He also served as an Adjunct Professor of Finance at INSEAD from September 2006 to 2009. His research focuses on financial markets, with a particular emphasis on liquidity dynamics, asset pricing, and market efficiency. Key themes include the impact of institutional liquidity needs, momentum strategies, and the interplay between macroeconomic factors and equity returns. His work spans theoretical and empirical analyses of financial instruments, including currency carry trades, hedge fund behavior, and market anomalies. Suominen’s contributions address topics such as liquidity provision costs, bubble formation mechanisms, and the predictability of stock returns through time-series momentum effects. His research bridges empirical finance with practical implications for portfolio management and policy. While no specific awards are listed in the provided materials, his extensive publication record reflects a commitment to advancing understanding in quantitative finance and market microstructure. His work has been disseminated in peer-reviewed journals and conferences, contributing to debates on liquidity shocks, institutional trading strategies, and macroeconomic policy influences on asset prices.

• Automatic Control
• Systems Engineering
• Machine Learning
• +۳ مورد دیگر

Bo Bernhardsson is a Professor at the Department of Automatic Control, Lund University, and a member of ELLIIT. He holds academic roles in multiple profile areas, including AI and Digitalization, Engineering Health, and Natural and Artificial Cognition. His research focuses on control systems, EEG signal analysis, radio-based sensing, and medical data modeling. Bernhardsson earned his Ph.D. in Automatic Control from Lund University in 1992, followed by a postdoc at the University of Minnesota. He returned to Lund as a docent (1998) and became a full professor in 1999. From 2001–2010, he worked at Ericsson on mobile system design before resuming his professorship at Lund. He has supervised over 30 students and contributed to projects like the European Spallation Source (ESS) and healthcare innovations. His work bridges theoretical analysis with practical applications in telecommunications and biomedical engineering. Education: Ph.D. in Automatic Control, Lund University, 1992 Postdoctoral Fellowship, Institute for Mathematics and its Applications, University of Minnesota Docent in Automatic Control, Lund University, 1998 Research Interests: Control of uncertain systems, EEG analysis, radio-based communication, medical data modeling, and industrial applications like the ESS. Grants & Projects: Includes "Learning pharmacometric model structures from data" (2022–2024) and "COVID-19: Dynamical modelling for estimation and prediction" (2020–2022). Labs/Teams: Involved in ELLIIT, LCCC, and initiatives like WASP. Engaged in projects like cloud computing, autonomous control systems, and biomedical robotics.

Jordi Llorens-Terrazasمشاهده پروفایل

مدرس

• Time Series Forecasting
• Financial Econometrics
• Machine Learning
• +۲ مورد دیگر

Jordi Llorens-Terrazas is a Lecturer in Econometrics at the University of Surrey's School of Economics. He will join Universidad Carlos III de Madrid as Assistant Professor in the upcoming academic year. His research focuses on time series forecasting, financial econometrics, machine learning, empirical finance, and macroeconomics. Education: Ph.D. in Economics from Universitat Pompeu Fabra MSc in Data Science from the Barcelona School of Economics Research Interests: Develops methodologies for dynamic quantile forecasting and risk assessment in financial markets. Applies machine learning techniques to time series analysis and econometric modeling. Examines macroeconomic implications of financial market dynamics and portfolio optimization strategies. Publications: Recent works include studies on empirical risk minimization in time series, multivariate dynamic quantile forecasting, and projected dynamic conditional correlations. These contributions advance statistical learning frameworks for financial and economic data analysis. Professional Links: Google Scholar, arXiv, SSRN. Office location: 13 AD 00, University of Surrey, Guildford, GU2 7XH.

Anton Scheurinkمشاهده پروفایل

استاد

• Neuroendocrinology
• Energy Balance
• Type 2 Diabetes
• +۵ مورد دیگر

Professor Anton Scheurink is a leading academic in Neuroendocrinology at the University of Groningen, Faculty of Science and Engineering. His research focuses on neural regulation of energy balance, Type 2 Diabetes, obesity, and Anorexia Nervosa. He holds a PhD in animal physiology from the University of Groningen and completed postdoctoral research in the U.S. before returning to Groningen in 2011. Scheurink's work bridges clinical and basic science, with notable contributions to understanding the neurobiology of eating disorders and metabolic diseases. Education: PhD in Animal Physiology (University of Groningen), Postdoc at U.S. institutions Affiliations: Chair of the Admission Board for the Master's in Biomedical Sciences, Scheurink Lab - Neuroendocrinology Research Interests: Neural mechanisms underlying energy homeostasis, hormonal regulation of appetite, and translational studies on metabolic disorders. Key projects include modeling Anorexia Nervosa, investigating ghrelin's role, and evaluating lifestyle interventions for obesity. Publications & Grants: Over 146 peer-reviewed articles, including high-impact reviews on stress and eating. Active in securing grants for projects like TI Pharma's DIWA initiative and CCC's carbohydrate absorption studies. Holds patents on nutritional compositions for managing body weight and inflammation. Awards: UG Teacher of the Year (2014), Boyd O’Dell Award (2011), multiple Faculty Teaching Awards Teaching: Courses in Physiology, Neuroscience, and Behavioral Neurosciences, with a focus on integrating theory and clinical practice Labs/Teams: Leads the Scheurink Lab, collaborating internationally on metabolic and neuroendocrine research Media Engagement: Regular contributor to science communication, including appearances on Dutch radio (Het Klokhuis) and podcasts discussing obesity, exercise motivation, and eating behaviors.

• Cryptocurrency Markets
• Financial Econometrics
• Volatility Analysis
• +۴ مورد دیگر

Elie Bouri is a Professor of Finance at the Lebanese American University's School of Business, Department of Finance. His extensive research portfolio demonstrates expertise in cryptocurrency markets, financial volatility analysis, and cross-market risk transmission. With over 30 scholarly publications indexed on SSRN, his work has garnered significant attention with more than 26,000 downloads and 162 citations. Professor Bouri's research interests focus on cryptocurrency market dynamics, particularly Bitcoin's properties as a hedge, safe haven, or diversifier relative to traditional assets. His work employs advanced econometric techniques including asymmetric GARCH models, quantile regression, and network analysis to examine volatility spillovers, market efficiency, and extreme dependence across financial markets. Recent research extends into climate risk, energy transition, and geopolitical influences on financial markets. His publication record shows consistent output since 2016 with significant recent activity, including multiple papers published or posted in 2024-2025. His research demonstrates methodological sophistication with applications of mixed data sampling, time-varying parameter models, and higher-order moment analysis to contemporary financial questions. Bouri frequently collaborates with an international network of researchers across Europe, Asia, and the Americas. Professor Bouri's scholarly contributions have appeared in journals such as the Journal of Finance, Finance Research Letters, Applied Economics, and Resources Policy. His work on cryptocurrency market properties during crisis periods has been particularly influential in understanding Bitcoin's role in diversified portfolios. His research program addresses critical questions about market efficiency, risk transmission, and asset pricing in both traditional and emerging digital asset markets, with practical implications for portfolio management, risk assessment, and financial regulation.

• International Finance
• Exchange Rate Dynamics
• Bond Markets
• +۵ مورد دیگر

Giorgio Valente serves as Head of the Hong Kong Institute for Monetary and Financial Research (HKIMR), located at One Pacific Place, 10th Floor, 88 Queensway, Hong Kong. His research spans international finance, exchange rate dynamics, bond markets, and asset pricing, with significant contributions to understanding market anomalies and financial predictability. Valente's research interests focus on international finance phenomena, particularly exchange rate puzzles and bond market dynamics. His work on the forward bias puzzle has provided important insights into deviations from uncovered interest parity through nonlinear modeling approaches. He has extensively studied bond risk premia predictability and the relationship between stock markets and exchange rates, contributing to the understanding of international asset allocation strategies. His scholarly work shows consistent trends in applying sophisticated econometric techniques to financial market data, with recent publications addressing nonstandard errors in multi-analyst studies and global capital flow dynamics. Valente frequently collaborates with leading economists including Lucio Sarno, with whom he has co-authored numerous influential papers. Among his significant scientific contributions are publications in top finance journals including the Journal of Finance. His work has been cited over 126 times according to SSRN metrics, with his paper 'Nonstandard Errors' receiving over 17,000 downloads. Valente has contributed to central banking research through collaborations with institutions including the Bank for International Settlements and Federal Reserve Banks. His work on macroeconomic announcements and yield curve dynamics has provided valuable insights for monetary policy analysis.

• Finance
• Financial Markets
• Empirical Asset Pricing
• +۵ مورد دیگر

Christian Westheide is a researcher affiliated with the University of Vienna (Department of Finance), University of Edinburgh Business School , and the Leibniz Institute for Financial Research SAFE . His work focuses on financial markets, market structure, liquidity, and empirical finance. Key research areas: Market fragmentation, high-frequency trading, liquidity dynamics, and insider trading behavior Major contributions: Studies on dark pools, market maker competition, and nonstandard errors in financial research Scientific Awards: No specific awards mentioned in the provided data. His recent work analyzes regulatory impacts on market design, including MiFID II, and explores technological factors like colocation in trading. Collaborations with institutions such as Nasdaq, Inc. and Goethe University Frankfurt highlight interdisciplinary industry-academia engagement.

Mark Shackletonمشاهده پروفایل

استاد

• ESG Investing
• Low CO2 Investing
• Equally Weighted Returns
• +۳ مورد دیگر

Mark Shackleton is a Professor in the Department of Accounting and Finance at Lancaster University Management School. His office is C29, Charles Carter Building. Current research investigates ESG and low CO2 investing, equally weighted portfolio returns, and corporate finance applications. Recent publications analyze CSR-insider horizon relationships, macro factor investing, and equal-weight portfolio outperformance. Supervises PhD student Ziran Zuo. Teaches courses on corporate finance, investments, and real options. Research group affiliations include Accounting, Finance, Governance and Banking; and Energy Lancaster. Editorial board member for Journal of Banking and Finance. Awards include ESRC Award and multiple teaching prizes. Extensive seminar presentations on real options and sustainability finance. Advised UK government bodies through ESRC Business Centre. Current activity includes Good Growth Programme development.

Michael Falkمشاهده پروفایل

استاد

• Computational Materials Science
• Metals Processing
• Additive Manufacturing
• +۵ مورد دیگر

Michael Falk is a Professor of Materials Science and Engineering, Mechanical Engineering, and Physics at Johns Hopkins University (JHU), and serves as Vice Dean for Undergraduate Education at the Whiting School of Engineering. He leads initiatives to enhance undergraduate education, curriculum development, and student mentorship. Falk holds a B.S. in Physics (1990) and M.S. in Computer Science (1991) from JHU, followed by a Ph.D. in Physics from the University of California, Santa Barbara. His academic career spans roles at the University of Michigan (2000–2008) and his return to JHU in 2008. Research Interests: Falk’s work focuses on computational materials science, simulating atomic-scale processes in materials undergoing mechanical stress, friction, or thermal changes. Key areas include amorphous/glass materials, metallic glass deformation, and additive manufacturing. He also investigates educational strategies to improve STEM engagement, particularly for underrepresented groups, and advocates for LGBTQ+ inclusion in STEM fields. Notable outreach efforts include partnerships with Baltimore City Schools to boost STEM participation. Articles Overview: Falk’s recent publications explore topics such as socio-environmental factors influencing STEM persistence, structural analysis of disordered materials, and computational models predicting material behavior under extreme conditions. His work bridges fundamental materials science with practical engineering applications, emphasizing predictive modeling and interdisciplinary collaboration. Grants & Partnerships: Falk has secured funding from NSF and DOE for projects like simulation-informed additive manufacturing models and studies on crystal nucleation in composition gradients. His educational research includes NSF-funded initiatives to enhance computing literacy in engineering curricula and improve STEM accessibility in urban schools. Labs & Teams: Falk leads a research group dedicated to computational materials modeling and educational innovation. His collaborations span academic, industrial, and community partners to advance both technical and educational missions.

Ekaterina Oparinaمشاهده پروفایل

پژوهشگر

• Economics of Wellbeing
• Behavioural Economics
• Applied Econometrics
• +۳ مورد دیگر

Ekaterina Oparina is a Research Economist at the Centre for Economic Performance (CEP) at the London School of Economics and a Research Affiliate at the Wellbeing Research Centre, University of Oxford. She holds a PhD in Economics from the University of Surrey (2020), a Master of Public Administration, and a BSc in Economics from the Higher School of Economics (Russia). As a Fellow of the Higher Education Academy, she has received teaching awards including the LSE Teaching Award 2023 and Excellence in Education Awards in 2023 and 2024. Her research focuses on methodological approaches to wellbeing analysis, individual-level determinants of wellbeing, and applications of machine learning in social science. Primary domains include: Economics of wellbeing and happiness Behavioural economics and policy interventions Applied econometrics in mental health and labour markets Machine learning for predictive social science Publications show strong emphasis on mental health economics, with 65% addressing psychological therapies' socioeconomic impacts. Recent work demonstrates: Increasing use of causal inference methods for policy evaluation Integration of machine learning with traditional econometrics Cross-disciplinary focus spanning economics, public health, and criminology Awards include LSE teaching excellence recognition and principal investigator roles on major grants: ESRC SDAI grant (£240,000) for IAPT programme analysis LMEP Fund Grant (£480,075) studying NHS Talking Therapies She co-organizes the LSE Wellbeing Seminar series and supervises postgraduate research. Affiliations include the CEP Community Wellbeing Programme and Oxford Wellbeing Research Centre.

Lisa S. Parkerمشاهده پروفایل

استاد

• Bioethics
• Genomics
• Research Ethics
• +۶ مورد دیگر

Lisa S. Parker is the Dickie, McCamey & Chilcote Professor of Bioethics and Director of the Center for Bioethics and Health Law at the University of Pittsburgh. She holds a joint appointment in the Department of Human Genetics within the School of Public Health. Her roles include leading the Master of Arts in Bioethics Program and co-directing the Medical Humanities & Ethics Stream in the School of Medicine. Dr. Parker’s research focuses on ethical issues in genetics, genomic medicine, precision medicine, and the social implications of biotechnology. She actively collaborates on national and international projects addressing research ethics and policy. Education: BA in Philosophy from Hillsdale College (1984), MA (1986) and PhD (1990) in Philosophy from the University of Pittsburgh. She completed a postdoctoral genetics course at the Jackson Laboratory and Johns Hopkins University. Research Interests: Incidental findings in genomic research, pharmacogenomics, genetic enhancement, AI ethics in healthcare, and feminist approaches to bioethics. She emphasizes equity in healthcare access and global research ethics. Publications span over 150 articles and book chapters, with recent work on AI in education, overdose prediction algorithms, and genomic ethics. Awards include the Nellie Westerman Prize (1990) and Hastings Center Fellowship (2020). Leadership Roles: Chair of the University’s Research, Ethics and Society Initiative, member of NIH advisory panels, and board member of professional ethics organizations. She has mentored over 60 graduate students and postdoctoral fellows. Current Projects: Ethical challenges of AI in healthcare, return of genomic results, and neuroethics. She co-leads the Pittsburgh Phage Project and advises on biobanking ethics.

Nikos C. Papapostolouمشاهده پروفایل

دانشیار

• Shipping Finance
• Capital Markets
• Freight Derivatives
• +۲ مورد دیگر

Dr. Nikos C. Papapostolou is Reader in Shipping Finance and Associate Director of the Costas Grammenos Centre for Shipping, Trade and Finance at Bayes Business School, City University of London. He directs the renowned MSc in Shipping, Trade and Finance program and leads the Stelios Scholarships initiative. His research focuses on shipping finance, capital markets, freight derivatives, and investor behavior. Papapostolou holds a PhD in Shipping Finance (City), MSc in Shipping, Trade and Finance (City), and BSc in Money, Banking and Finance (Birmingham). He serves as External Examiner for ESCP Europe and previously for the University of Reading. His research has been published in leading journals analyzing shipping risk, investment strategies, and market efficiency. Industry engagement includes executive training collaboration with the Baltic Exchange since 2012 and consultancy for shipping clients. Publications examine: Environmental investments in shipping technology Market volatility and risk management Shipping bond and equity markets Commodity price modeling Recent work focuses on scrubber installation economics and eco-vessel valuation premiums.

Yueyuan Maمشاهده پروفایل

استادیار

• Macroeconomics
• Economic Growth
• Innovation
• +۳ مورد دیگر

Yueyuan Ma is an Assistant Professor of Economics at the University of California, Santa Barbara (UCSB), affiliated with the Department of Economics within the College of Letters & Science. Her research focuses on macroeconomics, economic growth, innovation, firm dynamics, trade, and labor economics. She holds a Ph.D. in Economics from the University of Pennsylvania (2022), an M.A. in Economics from Tsinghua University (2016), and a B.A. in Economics and B.S. in Statistics from Peking University (2014). Her work bridges theoretical and empirical approaches to study growth, inequality, and market structures. Notable contributions include analyzing digital advertising's macroeconomic impacts, the effects of premarital medical exams on marriage quality, and the consequences of U.S.-China trade policies on innovation divergence. She has been recognized with the William Polk Carey Prize (2022) and other prestigious fellowships. Teaching: Advanced Macroeconomic Theory (PhD), Intermediate Macroeconomics Professional Activities: Principal Investigator on NORC Data Enclave projects, Visiting Scholar at Federal Reserve Banks Research Grants: Kauffman Foundation support, U.S. Census data access Her research lab explores knowledge production, entrepreneurship, and firm-level dynamics. Collaborations include the Aggregate Economics Consortium and the Consortium for Applied Research in Economics.