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Jennifer Claggett

“I am passionate about leveraging technology, especially AI-enabled tools, to improve healthcare outcomes by supporting clinical decision-making, easing cognitive load, and empowering patients and providers with better information.”

  • Understanding adoption, use, and resistance to health IT, especially AI-driven solutions
  • Integrating behavioral and management theories to uncover psychological, social, and organizational drivers behind technology-related decisions
  • Employing multi-method approaches, including experimental design, qualitative analysis, and field-based research to gain actionable insights
  • Exploring how health IT artifact design decisions shape user behaviors

Yeongin Kim

“I study how digital health technologies – such as patient portals, telehealth, patient generated health data (PGHD), and AI – generate economic and clinical value by improving information sharing, enhancing patient engagement, and supporting data-driven decisions that lead to more efficient, equitable, and coordinated healthcare delivery.”

  • Economic impact of health IT
  • Algorithmic decision support and AI strategy
  • Econometric modeling for causal inference
  • Applied machine learning for prediction and natural language processing
  • Game theory and optimization

Zlatana Nenova

“I am passionate about implementing machine learning, and statistics modeling to improve healthcare delivery for individuals with chronic conditions. My research integrates data science with behavioral and managerial insights to generate practical, evidence-based solutions that enhance patient outcomes.”

  • Developing predictive models and dynamic programming approaches to capture disease progression and inform clinical decision-making
  • Employing advanced statistical methods to analyze complex biomedical datasets and translate results into clinically actionable tools
  • Integrating survey and experimental design to uncover the psychological, organizational, and behavioral mechanisms that drive success in treatment of patients with chronic conditions

“I am interested in improving healthcare outcomes through better delivery processes. My research focuses on operational improvements in healthcare systems and the design of effective health policies, with particular emphasis on emergency and intensive care.”

  • Data-driven analysis of healthcare delivery systems to identify inefficiencies and improvement opportunities
  • Examination of health policy design and evaluation through an operational lens to enhance policy effectiveness and implementation at the system level
  • Research that bridges institutional practices with broader healthcare system performance
  • Application of rigorous analytical methods to connect micro-level operational behaviors with macro-level policy outcomes

A highlight of Pelin Pekgün

“I am passionate about using analytics and operations research to strengthen healthcare, humanitarian, and nonprofit systems by improving access to vital resources and enabling more equitable, resilient, and sustainable decisions.”

  • Improving efficiency, equity, and sustainability in healthcare and humanitarian supply chains, with a focus on resource allocation, waste reduction, and expanded access to food and essential resources
  • Utilizing pricing analytics, demand modeling, and capacity management to better match supply and demand in complex operational environments
  • Integrating optimization, econometrics, and game-theoretical modeling to analyze strategic interactions between stakeholders and support data-driven decision-making
  • Bridging academia and practice by collaborating with nonprofits, healthcare providers, and industry to translate analytical insights into real-world impact

“I am passionate about understanding how people and technologies co-shape health and wellbeing. My work explores how digital systems—such as wearables and AI-enabled solutions—build trust, engagement, and informed decision-making for patients, providers, and organizations, while shaping users’ sense of identity, motivation, and durable behavioral change.”

  • Exploring the adoption and use of digital health technologies—from AI-enabled systems to subtle design features—to promote sustained engagement and self-management
  • Integrating social psychology and management theories to explain how individual, social, and organizational factors shape technology use and behavior
  • Applying multi-method designs that integrate behavioral, qualitative, and experimental approaches to understand human–technology dynamics
  • Examining how the design of digital health technologies influences user behavior

Greg Stewart

“I have extensive experience collaborating with researchers across multiple
disciplines (anthropology, biostatistics, medicine, nursing, public health) to study and improve healthcare delivery through improved leadership and teamwork.”

  • Physician leadership emphasizing strategy formation and implementation, delegation, employee empowerment, and performance management
  • Team design and development focused on member selection, coordination, and structural design
  • Human resource practices related to recruiting and staffing
  • Quantitative and qualitative research design and analysis