I’m a Visiting Researcher at the University of Cambridge, working at the intersection of Human-AI Interaction and Multimodal LLMs.
- Multimodality in LLMs, adding voice and speech capabilities and designing human-centered evaluations.
- Building systems that combine LLMs + user signals to make AI interactions more adaptive, safe, and useful.
- Researching trust, empathy, engagement, and user experience in AI assistants.
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Building Emotional Intelligence into Digital Therapy Agents through Neurofeedback (AAAI 2026)
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Fine-Tuning Open-Source LLMs on Multi-Turn CBT Conversations (AIiH 2025)
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Exploring Multimodal Generative AI for Education through Co-design Workshops with Students (CHI 2025)
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Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments (ACM ITiCSE 2023)
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Evaluating the Quality of LLM-Generated Explanations for Logical Errors in CS1 Student Programs (COMPUTE 2023)
Languages: Python, Java, C/C++, SQL
ML/AI: LLM fine-tuning (parameter-efficient), RAG, evaluation design, human studies
Data: Pandas, PostgreSQL, data pipelines, analytics at scale
Dev: ReactJS, Android, Firebase
Design: Figma, Illustrator
- 📫 Email: [email protected]
- 🔎 Google Scholar: https://scholar.google.com/citations?user=CDP62u0AAAAJ&hl=en