Research

My research lies at the intersection of Human-Computer Interaction, human computation, user modelling, and machine learning, focusing on Human-Centered AI and Crowd Computing.

• Human-Centered AI

  Designing AI systems that are transparent, fair, and aligned with human values. Combining HCI methods with ML to create AI that augments human capabilities.

  Explainability

  Fairness

  Trust

  User Studies

  Participatory Design
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• Crowd Computing

  Harnessing collective human intelligence for complex tasks. Developing methods for quality control, task design, and worker modeling in crowdsourcing systems.

  Crowdsourcing

  Task Design

  Quality Control

  Worker Modeling

  Hybrid Intelligence
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• Human-in-the-Loop ML

  Integrating human feedback into machine learning pipelines for data labeling, model validation, and active learning in domains requiring expert judgment.

  Active Learning

  Data Annotation

  Interactive ML

  Expert-in-the-Loop
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• Responsible & Value-Aligned AI

  Investigating ethical implications of AI systems and developing frameworks for value-sensitive design, accountability, and responsible deployment.

  Value-Sensitive Design

  Ethics

  Accountability

  Bias Mitigation

  Governance
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