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Rachid BelhachemiView profile

Assistant Professor

• Statistics
• Actuarial Mathematics
• Financial Mathematics
• +1 more

Rachid Belhachemi serves as an Assistant Professor of Statistics at Lycoming College, bringing expertise in statistics, actuarial science, and financial mathematics. He holds a Ph.D. from Oklahoma State University and an M.S. from the University of Toronto. With extensive teaching experience across quantitative disciplines, he employs a student-centered approach that combines academic rigor with compassionate mentorship to help students master complex concepts through clarity and engagement. His educational background includes: Master of Science (M.S.), University of Toronto Doctor of Philosophy (Ph.D.), Oklahoma State University Dr. Belhachemi's research centers on financial mathematics and risk management, with specific focus on mathematical modeling of investment strategies, insurance risk analysis, and market behavior under uncertainty. His work applies advanced statistical techniques to financial data to improve risk assessment frameworks and decision-making processes in volatile markets, bridging theoretical statistics with practical financial applications. His recent 2024 publications demonstrate a consistent research trajectory in applying hidden truncation models with heteroskedasticity to financial markets. These studies analyze S&P 500 index returns and option valuation, highlighting sophisticated statistical approaches to model market volatility and derivative pricing while addressing real-world financial complexities. Scientific Awards: No awards mentioned in the provided text Dr. Belhachemi provides dedicated student mentorship, particularly in actuarial science where he prepares students for Society of Actuaries (SOA) examinations. His teaching spans statistics, financial mathematics, and general mathematics courses, emphasizing conceptual understanding through practical applications. While specific grant funding isn't detailed, his research profile indicates active engagement in financial risk modeling projects requiring statistical innovation. No dedicated research laboratories, collaborative teams, or institutional research groups are referenced in the available information.

Friederike LenelView profile

Research Fellow

• Development Economics
• Behavioral Economics
• Climate Change Adaptation
• +4 more

Friederike Lenel serves as Senior Scientist at the Potsdam Institute for Climate Impact Research (PIK) within the Department Climate Resilience and Working Group 'Adaptation in Agricultural Systems', while concurrently holding a part-time Dorothea-Schlözer fellowship at the University of Göttingen's Chair of International Economic Policy. Her PIK role focuses on evaluating climate adaptation interventions for farmers in West and Central Africa through the BMU-funded PACO project. Her academic foundation includes a PhD from DIW Berlin and Humboldt University, postdoctoral research in Göttingen's 'Globalization and Development' program, and a visiting scholarship at Stanford's King Center on Global Development. Lenel's research pioneers the integration of development and behavioral economics to dissect decision-making under uncertainty, particularly examining how formal and informal institutions interact in climate-vulnerable contexts. She deploys network analysis and field experiments across Southeast Asia and Africa to study risk-sharing mechanisms, adaptation behavior, and crisis response—revealing how informational nudges and institutional design can reshape economic resilience. Her 2020-2023 publications demonstrate consistent methodological innovation, merging high-frequency data tracking with randomized trials to evaluate mHealth interventions in Indonesia, solar adoption in microenterprises, and pandemic impacts on Cambodian education. Geographically concentrated in developing economies, her work identifies actionable pathways for transforming climate adaptation practices through behavioral insights. Scientific recognition includes: Dorothea-Schlözer fellowship (University of Göttingen, 2022) As lead impact evaluator for the PACO project, Lenel directs BMU-funded small-grant initiatives transforming national adaptation priorities in West/Central Africa. Her field-based approach involves close collaboration with local communities and policymakers to translate experimental findings into scalable adaptation tools, while her Göttingen fellowship supports continued methodological development in economic decision theory. Embedded within PIK's 'Adaptation in Agricultural Systems' working group, she contributes to interdisciplinary climate resilience research connecting behavioral science with agricultural policy—specifically analyzing how uncertainty perception influences farmers' adoption of adaptive practices in data-scarce regions.

• Pension
• Health
• Longevity risk
• +7 more

Malene Kallestrup-Lamb serves as Associate Professor at Aarhus University's Department of Economics and Business Economics, holding dual research fellowships at Copenhagen Business School's Pension Research Centre (PeRCent) and Tilburg's Network for Studies on Pensions, Aging and Retirement (NetSpar). She concurrently performs significant administrative duties as Deputy Head of Department and Head of Cand.merc programmes at ECON, demonstrating leadership in both academic and operational domains. Her research program critically examines intersections between health economics, pension systems, and labor market dynamics through advanced econometric modeling and machine learning applications. Key investigations include longevity risk quantification using register-based health records, socioeconomic determinants of healthcare expenditures, and policy impacts of social security reforms on retirement behavior. This work bridges theoretical rigor with practical implications for aging populations and pension sustainability. Her publication portfolio spans actuarial science, pension economics, and public health journals, revealing consistent themes: machine learning integration in health indices development, cross-national retirement trend analysis, and socioeconomic variables in longevity hedging strategies. These contributions highlight her interdisciplinary approach to demographic-economic challenges in aging societies. Her primary recognitions include: External Research Fellow at Pension Research Centre (PeRCent) International Fellow at Network for Studies on Pensions, Aging and Retirement (NetSpar) Kallestrup-Lamb actively supervises undergraduate, master's, and PhD students while teaching applied econometrics, pension economics, life insurance, and health-related courses. Her administrative responsibilities encompass departmental leadership and program coordination for business-oriented Cand.merc degrees. Through PeRCent and NetSpar affiliations, she engages with international research networks focused on pension system resilience and demographic transitions, facilitating cross-border knowledge exchange between academia and policymaking institutions.

Mervi RantsiView profile

Lecturer

• Health Economics
• Implementation Science
• Gerontology
• +4 more

Mervi Rantsi is a University Lecturer and personal study plan supervisor in the Health Economics master’s program at the University of Eastern Finland's Department of Health and Social Management. Her work focuses on strengthening implementation research through health economic methods, particularly in older populations. She is affiliated with the Faculty of Social Sciences and Business Studies and contributes to research groups like the Health Economics Research Group and the House of Effectiveness. Her research emphasizes the cost-effectiveness and implementation of strategies to reduce potentially inappropriate medication use in older adults, especially those with memory disorders. Key projects include MEDIFF (evaluating implementation strategies for rational medication use) and GuideGap (analyzing guideline adherence in prescribing). Her work integrates economic evaluation with clinical practice to improve healthcare outcomes. Rantsi’s publications span topics like the impact of clinical guidelines on medication use, cost analyses of healthcare interventions, and the effectiveness of educational programs for healthcare providers. Her studies often use registry data and randomized controlled trials to assess real-world implementation outcomes. Notable grants include funding from the Social Insurance Institution (MEDIFF project) and the University Pharmacy Research Grant. Her contributions highlight the intersection of economics, gerontology, and healthcare policy to address challenges in aging populations.

Ross FinnieView profile

Professor

• Post-Secondary Education
• Public Policy
• Labour Economics
• +5 more

Ross Finnie is a Full Professor in the Graduate School of Public and International Affairs at the University of Ottawa, affiliated with the Faculty of Social Sciences. He holds a Ph.D. in Economics from the University of Wisconsin-Madison (1989), an M.A. from the same institution (1984), and a B.A. (Hons.) in Economics from Queen's University (1979). His career includes prior roles at Laval, Carleton, and Queen's Universities. His research focuses on post-secondary education access, K-12 outcomes, student pathways, and post-graduation labor market outcomes. He develops predictive models to identify at-risk students and evaluates student support initiatives, with a focus on disadvantaged groups. His work employs linked education-tax administrative data. Other areas include skills development, poverty, income inequality, income support programs, labor mobility, and public economics. He serves as a Research Fellow at the Social Research and Demonstration Corporation (SRDC), Institute of Labor Economics (IZA), and C.D. Howe Institute. He advises Statistics Canada’s Postsecondary Education Statistics Committee, Employment and Social Development Canada’s Learning Advisory Committee, the Labour Market Information Council, and the C.D. Howe Institute’s Human Capital Council. Teaching includes graduate courses like Microeconomics for Public Policy and Education Policy Research Seminar . Over 150 publications span topics from STEM career choices to ICT workforce analysis and policy frameworks for economic competitiveness.

Giri Kumar TayiView profile

Professor

• Operations Management
• Information Systems
• Operations Research
• +10 more

Giri Kumar Tayi is a Professor of Management Science and Information Systems at the State University of New York at Albany. His expertise spans interdisciplinary research areas including Operations Management, Information Systems, and Operations Research with a focus on E-Commerce, Supply Chain Optimization, Data Quality, Digital Government, and Software Process Diversity. He holds a Ph.D. from Carnegie Mellon University. Dr. Tayi's research focuses on strategic challenges in digital ecosystems, such as omni-channel retailing dynamics, information security governance, and sustainable consumption practices. He has pioneered studies in consumer behavior in online platforms, supply chain transparency through certification systems, and the application of ontologies in data architecture design for ethical consumption. With over 60 refereed journal articles and 20+ conference proceedings, his work appears in top-tier journals like Operations Research , Management Science , and Information Systems Research . He has held editorial roles at 10+ journals including Information Systems Research and IEEE Intelligent Systems . His research has been supported by NSF and industry collaborations. Key contributions include frameworks for data quality management in clinical trials, ontological modeling for certification systems, and strategic analyses of digital platforms. His current projects explore blockchain applications in supply chain governance and AI-driven decision support systems for sustainable operations.

Dustin TracyView profile

Assistant Professor

• Health Economics
• Behavioral Economics
• Experimental Design
• +4 more

Dustin Tracy, PhD is an Assistant Professor at the Department of Population Health Sciences within the Medical College of Georgia at Augusta University. His work focuses on identifying and testing policies that balance healthcare costs with health outcomes. Tracy employs behavioral economics principles, economic experiments, and meta-analysis to inform policy and ensure scientific validity. Education: PhD in Economics from Georgia State University (2018) Graduate Program in Economic Development from Vanderbilt University Postdoctoral fellowship at Chapman University’s Economic Science Institute Research Interests: Tracy’s work spans Health Economics, Behavioral Economics, Experimental Design, Health Metrics, and Meta-Analysis . He examines how framing and behavioral principles influence stakeholders’ perceptions of policies, with a focus on cost containment and outcome maximization. His methods include randomized controlled trials, observational studies, and meta-analytic techniques. Publications: Tracy has contributed to high-impact studies on incentive contracts, health insurance policy, and activity monitoring using accelerometry. His recent work explores telemedicine assessment tools and reputation effects in credence goods markets. Background: Before academia, Tracy was a licensed mental health counselor and psychotherapist, bridging clinical experience with economic research. He teaches courses in Health Economics, Applied Econometrics, and Experimental Design.

Li-Chia ChenView profile

Professor

• Pharmacy Practice Research
• Evidence-Based Medicine
• Drug Utilisation Research
• +6 more

Li-Chia Chen is a Professor at the University of Manchester , affiliated with the Division of Pharmacy and Optometry and the Centre for Pharmacoepidemiology and Drug Safety . With over two decades of academic and professional experience, she bridges clinical pharmacy with population health research, focusing on optimizing medication use and improving healthcare systems. PhD in Clinical and Cost-Effectiveness of COX-2 Inhibitors (University of Manchester, 2005) MSc in Drug Utilisation Evaluation (National Cheng Kung University, 1996) BSc in Pharmacy (Kaohsiung Medical University, 1993) Her research integrates pharmacoepidemiology, health economics, and drug safety to address critical issues in patient-centred healthcare. She specializes in secondary database analysis (e.g., Taiwan National Health Insurance Database, UK CPRD) and mixed-methods approaches for policy evaluation. Recent publications highlight trends in opioid utilization , breast cancer therapeutic adherence , and cross-national healthcare comparisons . Her work contributes to SDGs related to health (3, 17) and education (4). Active participant in global opioid utilization research Developed decision-support tools for cancer symptom management Advocates for pharmacy service innovation and safety indicators

• Stochastic orders
• Probability metrics
• Reliability theory
• +5 more

Michael Boutsikas is an Associate Professor in the Department of Statistics and Insurance Science at the University of Piraeus. His academic career includes roles such as teaching Statistics II: Hypothesis Testing, Reliability Theory, and Stochastic Finance. He holds a PhD in Applied Probability from the University of Athens (2000), an MSc in Statistics and Operations Research (1998), and a Mathematics Diploma (1995). His research focuses on stochastic orders, probability metrics, reliability theory, and extreme value theory. Key contributions include work on scan statistics, compound Poisson approximation, and risk models. Recent studies address surplus processes in jump diffusion models and exit time analysis under barrier conditions. Teaching spans courses like Multivariate Statistical Analysis and Statistical Software Packages. His work often intersects actuarial science and financial modeling, with applications in insurance mathematics and risk management. Office hours are arranged via email.

Scott ColbyView profile

Assistant Professor

• Food consumer behavior
• Food marketing
• Agricultural economics
• +7 more

Scott Colby, Ph.D., is an Assistant Professor of Agribusiness at SUNY Morrisville’s School of Agriculture, Business & Technology. His research bridges agricultural economics, consumer behavior, and environmental policy through econometric analysis of big data. Ph.D. in Economics, Washington State University His work explores: Consumer interactions with food environments Economic drivers of nutrition and health Flood insurance and housing economics Shopping frequency impacts on diet Food distribution systems Climate change mitigation in agriculture Recent publications focus on climate risk, food access disparities, and behavioral economics. He mentors students in applied agribusiness projects, including food brand development. Scientific award: Grow NY competition, $250,000 prize (2020) He is currently developing a Master of Science in Food and Agribusiness (FAB) at Morrisville.

Lane F. BurgetteView profile

Researcher

• Causal Inference
• Machine Learning
• Health Policy
• +4 more

Lane F. Burgette is a Senior Statistician and faculty member at the RAND School of Public Policy within RAND Corporation. His work bridges causal inference methodology with applications in health care policy, substance abuse treatment, and public safety. B.A., Whitman College M.S., Duke University Ph.D., University of Wisconsin-Madison Methodologically, Burgette focuses on propensity score methods , entropy balancing , nonparametric modeling , and missing data techniques . Applied research spans Medicare payment models , health care cost-quality tradeoffs , and adolescent behavioral health interventions . His recent publications emphasize health policy evaluation (15 entries), particularly Medicare Advantage reforms and causal inference tools like the TWANG R package. Articles frequently integrate statistical methodology with public health applications .

• Implementation Science
• Health Services Research
• Mental Health
• +6 more

Celine Larkin is an Assistant Professor in the Emergency Medicine Department at UMass Chan Medical School and a Senior HTA Analyst at Ireland's Health Information and Quality Authority. She holds a PhD in Health Services Research from University College Cork (2013) and completed postdoctoral work in Implementation Science at UMass Chan (2018). Her research focuses on implementing evidence-based practices in mental health and medical settings, particularly suicide prevention strategies in emergency departments. Research Highlights: Dr. Larkin's work bridges implementation science and health services research. She has developed technology-assisted interventions like the ReachCare apps for suicidality management and evaluated systems-level suicide prevention frameworks such as Zero Suicide. Her research spans patient safety, healthcare equity, and behavioral health integration across primary care and emergency settings. Notable Contributions: She co-developed protocols for tobacco cessation in rural Vietnam, analyzed clinician fidelity to suicide screening practices, and investigated the physical/psychological impacts of suicide bereavement. Her publications frequently address: Emergency department workflow optimization Language barriers in healthcare Technology-assisted suicide prevention Behavioral health policy implementation Collaborative Networks: Dr. Larkin frequently collaborates with co-authors like Edwin Boudreaux and Kate Lapane, contributing to multidisciplinary studies involving machine learning applications in suicide prediction and stakeholder engagement in implementation science programs at institutions such as iSPARC.

Alexandre BrousteView profile

Professor

• Statistical Inference
• Asymptotic Efficiency
• Fractional Processes
• +6 more

Alexandre Brouste is a Professor at Le Mans University in France, affiliated with the Institute of Risk and Insurance. He also serves as a Visiting Research Professor at The University of Texas at Dallas in the ICDRiA program. His academic career spans multiple institutions and research collaborations across France, Japan, and the United States. Professor Brouste's research focuses on statistical inference, particularly in developing efficient estimation methods for complex statistical models. His primary areas of interest include asymptotic efficiency, fractional processes, time series analysis, and applications in finance and insurance. He has made significant contributions to the theory and practice of one-step estimation procedures, which provide computationally efficient alternatives to maximum likelihood estimation while maintaining asymptotic optimality. His publications demonstrate a consistent focus on developing fast and asymptotically efficient estimation methods for various statistical models. Recent work includes applications to neural network training, generalized linear models for insurance pricing, autoregressive processes with fractional noise, and stable Lévy processes. His research bridges theoretical statistics with practical applications in finance, insurance, and renewable energy. Professor Brouste leads the ANR EFFI 2022-2025 project focused on improving knowledge about asymptotic efficiency in statistical experiments and developing innovative estimation procedures for real-world applications. He has also developed several R packages including OneStep, Yuima, and FieldSim, which implement advanced statistical methodologies for researchers and practitioners. He has supervised numerous doctoral students including Otmane El Allaki, Marie Badreau, Lilit Hovsepyan, Marius Soltane, and Chunhao Cai. His teaching includes statistics for actuarial science and finance at both Master's levels 1 and 2 at the Actuarial School. His research has significant applications in insurance pricing, wind energy forecasting, ultrasonic measurements analysis for civil engineering structures, and financial modeling. He collaborates with industry partners including Covéa and Groupama on research initiatives related to insurance pricing and risk assessment.

• Commodity Market Analysis
• Agricultural Policy
• Risk Management in Agriculture
• +7 more

Robert J Myers is a University Distinguished Professor in the Department of Agricultural, Food, and Resource Economics at Michigan State University's College of Agriculture & Natural Resources. He joined the MSU faculty in 1986 and has established himself as a leading scholar in agricultural economics with a focus on commodity markets and risk management. Dr. Myers holds the following academic credentials: Ph.D. from the University of Minnesota M.S. from the University of New England, Australia B.S. from the University of New England, Australia Professor Myers' research primarily centers on risk management in agriculture, with particular emphasis on market-based mechanisms such as futures, options, and crop insurance. His work extends to commodity market analysis, agricultural policy, price transmission in agricultural markets, and food security issues in developing countries, especially in Africa. He has conducted extensive research on maize markets in Southern Africa, examining price stabilization mechanisms, market integration, and the impacts of food aid programs on local markets. His research often bridges theoretical economic concepts with practical applications for farmers and policymakers. Analysis of Professor Myers' publication record reveals a strong focus on agricultural risk management and market dynamics, particularly in developing country contexts. His work frequently addresses food security challenges in Africa, with numerous studies examining maize markets, price transmission, and the impacts of policy interventions on smallholder farmers. Over time, his research has evolved from theoretical market analysis to more applied studies addressing real-world food security challenges, often incorporating field data from African countries. Among Professor Myers' notable recognitions: Named MSU University Distinguished Professor in 2005 Elected as a Fellow of the Agricultural & Applied Economics Association (AAEA) Awarded 1st place among contributed papers at the African Association of Agricultural Economists Triennial Meetings (2010) Throughout his career, Professor Myers has been actively involved in mentoring graduate students and shaping academic programs. He has served as editor of the American Journal of Agricultural Economics and as associate editor for both the American Journal of Agricultural Economics and Review of Agricultural Economics. His consulting work with the World Bank demonstrates the policy relevance of his research. Professor Myers has taught advanced courses including AEC 891: Introduction to Microeconomics Theory and AEC 930: Dynamic Analysis in Ag/Resource Economics, contributing significantly to graduate education in agricultural economics. Professor Myers' research has been conducted both independently and through collaborations with colleagues at MSU and internationally, particularly with researchers focused on African agricultural development. His work with the World Bank and on the MSU/FSG Study of WFP procurement demonstrates engagement with major international development institutions.

• Artificial Intelligence
• Machine Learning
• Data Analytics
• +7 more

Dr. Ting Sun is an Associate Professor in the Department of Accounting and Information Systems at The College of New Jersey's School of Business. She holds dual PhDs in Accounting Information Systems from Rutgers University (2018) and Accounting from Southwestern University of Finance and Economics (2014). PhD in Accounting Information Systems, Rutgers (2018) PhD in Accounting, Southwestern University of Finance and Economics (2014) Her research focuses on the intersection of artificial intelligence and accounting, particularly machine learning applications in auditing, financial reporting quality analysis, and data analytics for ESG disclosures. She has published extensively in journals like Review of Accounting Studies and Accounting Horizons , with her 2024 work on audit quality measurement using surprise scores representing the culmination of her AI-auditing research trajectory. Dr. Sun serves as editor for the Journal of Emerging Technologies in Accounting and reviewer for multiple high-impact journals. She has received multiple SOSA Awards for scholarly support and the School of Business Curriculum Innovation Award. 2023-present: Associate Professor, TCNJ 2018-2023: Assistant Professor, TCNJ 2015-2018: Part-time Lecturer, Rutgers University