Ph.D. in Computer Science and Cognitive Science

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I am an Artificial Intelligence and Robotics researcher at SIFT, a research and consulting firm with strengths in Natural Language Processing, AI Planning, and Human-Robot Interaction.

Research Interests

Understanding the computational nature of social and creative reasoning in humans. My current work focuses on developing Neurosymbolic multi-modal and embodied AI approaches to:

• 💬 Shaping linguistic behavior by reasoning with social, cultural, and normative knowledge
• 💭 Improving team communication by reasoning about beliefs of others using Theory of Mind
• 💡Solving unanticipated planning problems with improvisation and creative reasoning

Technical Approach

Adapting social and cognitive sciences theories to build trustworthy human-aware and interactive systems. Leveraging tools from various AI fields — NLP, Computer Vision, AI Planning, Reinforcement Learning, and Knowledge Representation and Reasoning. Working with collaborators to explore techniques for:

• Training neural transformer models for learning graph-based knowledge representations
• Steering pre-trained foundation models (FMs) with prompt design and learning
• Reasoning with logic programming paradigms like Answer Set Programming (ASP)
• Combining neural networks with symbolic reasoning paradigms

Applications