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Fulai JinView profile

Associate Professor

• 3D Genome Architecture
• Computational Biology
• Genomics
• +3 more

Fulai Jin, PhD, is an Associate Professor in the Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, with joint appointments in the Department of Population and Quantitative Health Sciences and the Department of Computer and Data Sciences. He is also Co-Leader of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. Dr. Jin holds a PhD in Molecular and Medical Pharmacology from UCLA and bachelor’s degrees in Biology and Computer Science from USTC. His postdoctoral training at the Ludwig Institute for Cancer Research focused on genomics and epigenetics. His research focuses on 3D genome architecture, computational tools for genomic data integration, and single-cell technologies applied to health and disease. Key areas include cancer, diabetes, and neurological disorders, with a focus on chromatin structure, enhancer function, and ancestry-related disease mechanisms. His lab develops low-input 3D genome mapping methods and employs CRISPR tools, scRNA-seq, and multi-omic integration. Research is funded by NIH grants. Dr. Jin seeks motivated students/postdocs with experimental or computational expertise. The lab’s work is detailed on their website, and publications are listed on PubMed.

Katja IgnatievaView profile

Associate Professor

• Quantitative Finance
• Financial Risk Management
• Actuarial Science
• +3 more

Katja Ignatieva is an Associate Professor at the School of Risk and Actuarial Studies, UNSW Business School, University of New South Wales. She holds a co-tutelle PhD in Finance from Goethe University Frankfurt (Germany) and Macquarie University Sydney, along with an MSc in Mathematics and Statistics from Humboldt University Berlin and Glasgow University. Her research focuses on quantitative finance, stochastic processes, energy markets, and actuarial risk modeling. Key research areas include energy price dynamics, portfolio risk management, mortality modeling, and systemic risk analysis. She has published extensively in top-tier journals, addressing topics such as volatility modeling, jump-diffusion processes, and commodity market dependencies. Educational background includes: PhD in Finance (2011), Goethe University Frankfurt & Macquarie University MSc in Mathematics & Statistics (2000s), Humboldt University Berlin & Glasgow University Her work bridges theoretical finance with practical applications in risk management and insurance. She has contributed to methodologies for pricing complex financial derivatives and managing longevity risk in variable annuities.

Andrés M. Urcuqui-BustamanteView profile

Researcher

• Environmental Policy and Governance
• Urban Planning
• Natural Resource Management
• +4 more

Andrés M. Urcuqui-Bustamante is a Postdoctoral Research Associate in the Department of Urban Planning and Policy at the University of Illinois Chicago (UIC). His work bridges environmental science, public health, and policy through a focus on human-nature interactions. He holds a PhD in Environmental Science from SUNY College of Environmental Science and Forestry, alongside multiple master's degrees in rural development and biodiversity conservation from institutions in Colombia and Spain. His research investigates how societal perceptions shape responses to environmental challenges such as Lyme disease prevention, urbanization impacts, and biodiversity conservation. Methodologically, he combines qualitative and quantitative approaches with participatory tools like collaborative modeling and role-play simulations to enhance stakeholder collaboration and policy design. Current projects explore green space accessibility in Chicago and Santiago de Cali, and the non-economic values influencing hydrological services programs in Mexico and Colombia. Urcuqui-Bustamante's publications span environmental policy, public health, and participatory governance, with recent work appearing in Environment and Behavior , EcoHealth , and Environmental Science and Policy . He is affiliated with professional organizations including the Association of Collegiate Schools of Planning and the International Association for Society and Natural Resources.

Scott MorrisView profile

Professor

• Industrial-Organizational Psychology
• Personnel Selection
• Bias and Discrimination in Employment
• +4 more

Scott Morris is a Professor and Nambury S. Raju Endowed Chair in Psychology at Illinois Institute of Technology (IIT), leading the Industrial/Organizational Psychology Program within the Lewis College of Science and Letters. He holds a Ph.D. from the University of Akron (1994) and a B.A. from the University of Northern Iowa (1987). A Fellow of the Society for Industrial and Organizational Psychology and the American Psychological Association, Morris is also an associate editor for the Journal of Applied Psychology . His research focuses on advanced statistical methods in personnel selection systems, including meta-analysis, adverse impact analysis, and computer adaptive testing. He explores bias in subjective hiring practices and develops psychometric models to ensure fairness in employment decisions. Morris’s work bridges quantitative methodology with real-world applications, emphasizing ethical and equitable employment practices. Key research areas include adverse impact measurement, meta-analytic techniques, differential item functioning, and the design of efficient testing systems. He co-authored Adverse Impact Analysis: Understanding Data, Statistics and Risk (2017), a foundational text in the field. Morris’s lab, the Personnel Selection & Analytics Lab , investigates topics like multidimensional adaptive testing and statistical methodologies for EEO compliance. Awards: Fellowships from SIOP and APA, recognition for contributions to organizational psychology and statistical rigor. Media Expertise: Regularly consulted on psychology, data science, and ethics in employment. Labs/Teams: Leads the IIT Personnel Selection & Analytics Lab, focusing on quantitative methods in HR and equity analysis.

Marcel ProkopczukView profile

Professor

• Commodity Markets
• Capital Market Research
• Derivatives
• +3 more

Prof. Dr. Marcel Prokopczuk is a full Professor of Finance and Commodity Markets at Leibniz University Hannover, serving as Dean of the Faculty of Economics and Management since 2024. He holds a Ph.D. from the University of Mannheim and is a CFA Charterholder. His research focuses on commodity markets, capital market dynamics, derivatives, risk management, and household financial decisions. Affiliations: Institute of Finance and Commodity Markets, Leibniz Research Centre Energy 2050, Hannover Center of Finance and Insurance (HCFI). Roles: Editor of the Journal of Commodity Markets , Associate Editor of the Journal of Banking and Finance , and Board Member of CEMA. Research Interests: Commodity markets, derivatives pricing, energy finance, risk management, and the impact of historical factors on financial development. He has published extensively in top journals like Review of Economic Studies and Journal of Banking and Finance . Awards: Includes the Deutsche Bundesbank Prize (2024), FIRN Annual Conference Award (2017), and Best Teaching Award (2015). Grants & Advisory: Member of the German Business Foundation and involved in energy policy initiatives. His work bridges academic research with practical applications in financial markets and commodity pricing.

Rüdiger WeberView profile

Professor

• Financial Economics
• Asset Pricing
• Risk Sharing
• +5 more

Prof. Dr. Rüdiger Weber is a Professor of Finance at Goethe University Frankfurt , affiliated with the Faculty of Economics and Business Administration and the Department of Finance . He holds the Endowed Chair for Alternative Investments at the House of Finance. Research Focus : Asset pricing, risk sharing between heterogeneous agents, institutional investor dynamics, cash-flow timing, discount rate variation, and behavioral finance. Recent Publications : Explored implied volatility duration, time-varying expected returns, belief-driven investment behavior, and methodological robustness in portfolio analysis. Contact : r.weber@finance.uni-frankfurt.de | Room HoF 2.57 | Office hours by appointment.

Adriana Fumi Chim-MikiView profile

Professor

• Tourism Management
• Coopetition Strategies
• Competitiveness
• +5 more

Adriana Fumi Chim-Miki is a permanent Professor in the Graduate Program in Management and an Adjunct Professor in the Undergraduate Program in Management at the Federal University of Campina Grande (UFCG), Brazil. She also holds a postdoctoral researcher position at the University of Aveiro, Portugal, and is a Collaborate Professor at the University of San Buenaventura de Cali, Colombia. She coordinates the Coopetition Network Lab (CNPq-registered) and is a Full Member of the GOVCOPP Research Unit at Aveiro University. Her work focuses on tourism, coopetition strategies, competitiveness, and social value creation, supported by grants from CNPq and CAPES. Education: PhD in Tourism, Economics, and Management – University of Las Palmas de Gran Canaria, Spain Master's in Geography (Regional Development) – Federal University of Rio Grande, Brazil Postgraduate in Environmental Management at Municipalities – Brazil Bachelor's in Management – Federal University of Rio Grande, Brazil Research Interests: Tourism management, coopetition strategies, competitiveness, destination image, social management, strategic management, interorganizational networks, and entrepreneurship. Her recent work emphasizes social value creation through tourism coopetition and sustainable practices. Awards: Researcher Productivity Grant from CNPq (Brazil) Grants & Funding: Supported by CAPES Foundation (Brazil), Ministry of Education (Brazil), and CNPq. Labs/Groups: Coordinator of Coopetition Network Lab (CNPq), Full Member of GOVCOPP (University of Aveiro).

Marty ChamberlainView profile

Lecturer

• Criminology
• Socio-Legal Studies
• Medical Regulation
• +7 more

Dr. Marty Chamberlain is a Lecturer in Criminology at the University of Stirling's Faculty of Social Sciences. His research focuses on professional regulation, medical governance, and the sociological implications of risk within healthcare systems. He has held academic roles at multiple UK universities including Liverpool, Nottingham, and Southampton, and currently leads research in digital justice and automated regulatory systems. His work critiques tribunal processes, particularly their impact on vulnerable populations and procedural fairness. Key affiliations include the British Society for Criminology, Scottish Centre for Crime and Justice Research, and ESRC Peer Review College. He chairs the Virtual Trials National Project Board and advises Edinburgh Women’s Aid on digital court systems. His research explores post-COVID court reforms, AI-driven regulatory tools, and the socio-legal challenges of professional accountability. Chamberlain advocates for quantitative skills education and has pioneered visual learning strategies to reduce statistical anxiety in social sciences. His recent projects examine virtual domestic abuse courts and the ethical use of predictive analytics in healthcare regulation. He holds a doctorate analyzing NHS regulatory failures and has published widely on medical practitioners' disciplinary hearings. Research Themes: Professional regulation, medical ethics, digital justice, criminological theory Grants: ESRC-funded research on data visualization in education (2012-2014) Labs/Groups: Centre for Policy, Conflict and Co-operation (CPCCR); Research into Information, Surveillance and Privacy (CRISP)

• Generalization in deep learning
• Sparse estimation
• Portfolio optimization using reinforcement learning
• +6 more

LIU Peng is an Assistant Professor of Quantitative Finance (Practice) at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. in Statistics and Data Science (Part-time) from the National University of Singapore (2021), an M.S. in Business Analytics (2015), and a B.Eng. in Electronic Science and Technology (2012). Prior to his academic role, he worked as a Manager at Standard Chartered Bank (2019–2022) and in analytics roles at Marina Bay Sands and IBM. Education: Ph.D. (NUS), M.S. (NUS), B.Eng. (Beijing Technology and Business University) His research focuses on generalization in deep learning, sparse estimation, portfolio optimization via reinforcement learning, financial text mining, risk management, and Bayesian optimization. His work bridges theoretical advancements with practical applications in quantitative finance and data science. Notable contributions include studies on explainable neural networks, Bayesian optimization frameworks for portfolio management, and risk analytics integrating human decision-making. His recent articles emphasize model risk assessment, cost-aware optimization, and financial data analysis. Awards: Best Ph.D. Graduate Research Award (NUS, 2020), Google TensorFlow Developer Certificate (2020–2023) He teaches courses in quantitative finance, machine learning, and risk management, and has secured grants including the Research Capability Building Fund (2023–2025). His research aligns with strategic priorities in digital transformation and financial innovation.

• Statistics
• High-Dimensional Data Analysis
• Statistical Genetics
• +7 more

Aaron J Molstad is an Assistant Professor in the Department of Statistics at the University of Minnesota – Twin Cities, within the College of Science and Engineering. His research lies at the intersection of statistical methodology and genomic data science, with a focus on developing rigorous and scalable methods for modern high-dimensional datasets. His research interests include high-dimensional statistics, covariance and precision matrix estimation, regression modeling with structured responses, variable selection, and integrative analysis of omics data. He develops methods tailored for compositional data, multivariate responses, and ancestry-specific genetic association studies, contributing to both theoretical statistics and public health applications. The recent publications and funded projects highlight a strong trend in developing objective, reliable, and heterogeneous-aware statistical frameworks for genomics and biomedicine. His work emphasizes methodological innovation with direct applicability to complex biological data, particularly in diverse populations and multi-omics integration. Awarded grants from the National Science Foundation and the National Institutes of Health demonstrate recognition of his research’s significance and impact. These include projects on inference from omics data, new regression models for categorical responses, and integrative genomics in African American populations. Objective and reliable methods for inference from modern omics data (NSF, 2024–2027) Collaborative Research: New Regression Models for Multiple Categorical Responses (NSF, 2024–2025) Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African Americans (NIH/Fred Hutchinson, 2023–2024) Dr. Molstad advises and collaborates on major genomic studies involving protein expression, blood pressure, stroke, and ancestry-specific effects. While specific PhD students are not listed, his role as Principal Investigator on multiple grants indicates mentorship of graduate researchers and postdoctoral scholars. He is also active in the broader statistical community, with publications in top-tier journals such as Biometrika , Biometrics , and Genome Biology .

Cynthia H. McColloughView profile

Professor

• Computed Tomography (CT) Imaging Technology
• Radiation Dose Management
• Material Composition Evaluation via CT
• +3 more

Cynthia H. McCollough, Ph.D., is a Professor of Biomedical Engineering and Medical Physics at Mayo Clinic, where she serves as a Consultant in the Department of Radiology. She leads the CT Clinical Innovation Center, focusing on advancing CT imaging technology and clinical applications. Her work emphasizes radiation dose reduction, quantitative material composition analysis (e.g., kidney stones, gout), and optimizing CT protocols for diagnostic accuracy while minimizing patient risk. Dr. McCollough holds leadership roles in national and international organizations, including the NIH Biomedical Imaging Technology Study Section and the American Association of Physicists in Medicine (AAPM). She has received numerous awards, including the Distinguished Investigator Award from Mayo Clinic and the William D. Coolidge Gold Medal from AAPM. Her research spans photon-counting CT, dual-energy CT, and translational imaging solutions for vascular and abdominal diseases. Dr. McCollough’s academic contributions include over 600 peer-reviewed publications and leadership in grant-funded projects such as the National Institute of Biomedical Imaging and Bioengineering initiatives. Education: PhD in Medical Physics from the University of Wisconsin-Madison, MS in Medical Physics from the University of Wisconsin-Madison, BS in Physics from Hope College. Research Highlights: Her lab develops tools for radiation dose estimation, non-invasive material characterization via CT, and optimizing CT parameters using human and model observers. Recent work includes improving kidney stone analysis, bone mineral density measurements using photon-counting CT, and reducing radiation exposure in pediatric imaging. Grants & Funding: Principal investigator on multiple NIH grants, including projects on coronary atherosclerosis characterization, urinary stone composition analysis, and photon-counting CT for vascular disease detection. Awards: Over 100 awards, including the Distinguished Mayo Clinic Investigator Award (2020), Honorary Doctorate from Linkoping University (2020), and AAPM’s highest honor, the William D. Coolidge Gold Medal (2024). Labs & Teams: Directs the CT Clinical Innovation Center and the X-Ray Imaging Research Core at Mayo Clinic, collaborating with multidisciplinary teams across radiology, biomedical engineering, and physics.

• Population Ecology
• Conservation Biology
• Statistical Ecology
• +3 more

Eric T. Hileman is an Assistant Professor in the Wildlife and Fisheries Resources program at West Virginia University. He serves as the quantitative ecologist for the Eastern Massasauga Rattlesnake Species Survival Plan, contributing to conservation efforts for this threatened species. Educational background: B.S. and M.S. from University of Wisconsin institutions, Ph.D. from Northern Illinois University Prior roles: Assistant Research Professor at Mississippi State University, Mendenhall Research Fellow at USGS Fort Collins Science Center Research Interests Dr. Hileman specializes in population ecology, applying advanced statistical methods like capture-recapture and occupancy models to study wildlife dynamics. His work spans snake conservation, invasive species control, and ecological modeling, with direct applications for conservation management. Scientific Contributions Recent publications focus on snake behavior, disease risk, and habitat management, reflecting his expertise in quantitative approaches. Key topics include invasive brown treesnake control, snake fungal disease, and demographic modeling for pitvipers. Collaborations Active in interdisciplinary teams, including the Eastern Massasauga Rattlesnake conservation group and Guam-based invasive species research initiatives.

• Health Policy
• Environmental Policy
• Risk Analysis
• +5 more

James K. Hammitt is a Professor of Economics and Decision Sciences at the Harvard T.H. Chan School of Public Health , affiliated with the Center for Risk Analysis , Center for Health Decision Science , and Health Policy and Management Department . He is also a Senior Common Room member at Winthrop House (Faculty of Arts & Sciences, Harvard University). Education: AB in Applied Mathematics (magna cum laude, Harvard College, 1978), ScM in Applied Mathematics (Harvard University, 1978), MPP in Public Policy (Kennedy School of Government, 1981), PhD in Public Policy (Harvard University, 1988) His research focuses on quantitative methods in health and environmental policy , including benefit-cost analysis , decision analysis , and risk analysis . Key areas include managing long-term environmental uncertainties (climate change, ozone depletion), ancillary benefits/risk trade-offs , and social preference characterization using revealed/stated-preference and health-utility methods. He has contributed to 15+ recent publications spanning mortality risk valuation , health impact modeling , and policy evaluation in contexts ranging from COVID-19 to electric vehicles . Awards: Distinguished Achievement Award, Society for Risk Analysis (2015) Outstanding Achievement Award, Society for Benefit-Cost Analysis (2021) His work addresses complex policy challenges through interdisciplinary approaches, integrating economics , public health , and environmental science . While student advising isn't explicitly mentioned, his leadership in National Academies of Sciences panels and advisory committees to EPA/government agencies underscores his policy influence. No email addresses are publicly available.

• Pulmonary Medicine
• Chronic Obstructive Pulmonary Disease (COPD)
• Idiopathic Pulmonary Fibrosis (IPF)
• +7 more

Fernando Martinez is a Professor and holds the Joseph D. Early Chair in Biomedical Research at UMass Chan Medical School, where he is affiliated with the Department of Medicine in the T.H. Chan School of Medicine. His research focuses on pulmonary medicine, particularly chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), and interstitial lung diseases (ILD). BS in Interdisciplinary Sciences, University of Florida MS in Biostatistics & Clinical Study, University of Michigan MD, University of Florida College of Medicine Dr. Martinez's research interests center on understanding the pathogenesis, progression, and treatment of chronic lung diseases. He employs advanced methodologies such as quantitative CT imaging, genomics, proteomics, and machine learning to identify biomarkers and define disease endotypes. His work emphasizes precision medicine approaches to improve diagnosis, risk stratification, and therapeutic outcomes in COPD and pulmonary fibrosis. His recent publications reveal a strong focus on clinical trials, disease phenotyping, and biomarker discovery. Key themes include the use of quantitative imaging to assess COPD severity, genetic and proteomic determinants of survival in IPF, and the development of novel therapies for progressive fibrotic lung diseases. He frequently publishes in high-impact journals and contributes to major clinical guidelines. Joseph D. Early Chair in Biomedical Research Dr. Martinez is actively involved in large-scale collaborative research initiatives such as SPIROMICS and COPDGene, which investigate the heterogeneity and progression of COPD. He has led and contributed to numerous clinical trials evaluating new pharmacological treatments for COPD and IPF. His work has significant implications for clinical practice and public health policy. He is a key contributor to multidisciplinary teams focused on interstitial lung disease and has helped shape diagnostic and management approaches through official statements from the American Thoracic Society and GOLD.

• Resource Recovery
• Waste Management
• Environmental Sustainability
• +3 more

Pedro Brancoli is a Senior Lecturer at the Swedish Centre for Resource Recovery within the University of Borås' Faculty of Textiles, Engineering and Business. His research focuses on environmental aspects of resource recovery, waste management, and food waste reduction, particularly in supermarket and bakery contexts. He collaborates with doctoral students Zisen Liu and Samira Syed, and his work emphasizes quantitative methods like material flow analysis and life cycle assessment. Research Interests: Environmental sustainability through waste valorization Automated food waste quantification systems Climate impact of food production and distribution Key Outputs: Recent publications include studies on household food waste patterns, bakery surplus reduction, and carbon footprint analysis of street market waste in Brazil. His work bridges theoretical frameworks with practical applications in circular economy models. Grants & Awards: No specific awards listed, but research is supported by grants like the Swedish Environmental Protection Agency (2022–00077). Labs/Teams: Active within the Swedish Centre for Resource Recovery, focusing on cross-disciplinary solutions for sustainable resource management.