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Overview      

Our research spans a wide spectrum of statistical and analytical domains. We aim to push the boundaries of how data is collected, interpreted, and applied across disciplines. Our primary focus areas include:

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  • Statistical Theory & Methodology

  • Applied Data Analysis

  • Machine Learning & Artificial Intelligence

  • Predictive Modeling & Forecasting

  • Data Ethics & Policy

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Our multidisciplinary approach connects data science with real-world application, driving evidence-based decision-making in government, healthcare, business, and beyond.

Research Divisions    

​Explore our core research divisions and the cutting-edge projects they lead:

Data Science and     Machine Learning    

This division develops and applies advanced algorithms and machine learning models for high-dimensional and complex datasets. Areas of focus include:

  • Supervised and unsupervised learning methods

  • Natural language processing and text mining

  • Large-scale data infrastructure and optimization

  • Responsible and interpretable AI

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Current Projects:

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  • Bias Detection in Algorithmic Decision-Making

  • AI-Driven Climate Impact Modeling

  • Deep Learning Frameworks for Medical Imaging Analysis

Public Policy and Statistics     

We support government agencies and nonprofits in using data to craft policies that are equitable, efficient, and evidence-based. This division bridges statistical rigor with policy relevance.

  • Survey design and sampling strategies

  • Demographic modeling and projections

  • Policy simulation and impact assessment

  • Socioeconomic data analysis

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Current Projects:

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  • Predictive Analytics for Urban Resource Allocation

  • Measuring Policy Outcomes in Early Childhood Education

  • Statistical Equity Metrics for Public Services

Health and Medicine Data   

This division applies statistical methods to biomedical research, clinical trials, and public health studies, supporting advancements in population health and personalized medicine.

  • Biostatistical modeling

  • Longitudinal and survival analysis

  • Epidemiological data evaluation

  • Health disparities and access metrics

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Current Projects:

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  • COVID-19 Long-Term Impact Tracking Dashboard

  • Predictive Modeling for Hospital Readmission Rates

  • Geospatial Mapping of Health Inequities

Publications    

Our findings are regularly published in peer-reviewed journals, conference proceedings, and research reports. We believe in open access to knowledge and strive to make our work publicly available whenever possible.

Featured Publications: 

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