My research aims to make fundamental algorithmic contributions to human-centered machine intelligence (ML) and to promote scientific advancement in trustworthy artificial intelligence (AI) and address pressing challenges related to trustworthy and responsible AI, including privacy-preservation, explainability, and fairness. To ensure sustainable human-AI teaming, I further investigate fundamental challenges in AI-based decision-making and examine factors of trust that support effective decision-making between humans and AI systems. This endeavor highly draws from interdisciplinary collaborations in health sciences, social sciences, and learning sciences, and leads to interdisciplinary scientific contributions.
keywords
Affective computing, health analytics, human-computer interaction, trustworthy AI
