I am a Researcher II in Microsoft Research’s PROSE group. My research focuses on getting people the information they need, in a form they can act on, when it matters most. I study how user’s domain, culture, and expertise shape what counts as “useful,” then design adaptive systems that bridge those gaps.

I’m currently investigating how AI can act as an “attention-debiaser” to uncover missed opportunities in data visualisation and scientific discovery.

Before joining Microsoft, I was a Research Scientist on Adobe’s Media & Data Science team, contributing to projects all the way from early research to product launch. My work on document-recommendation, conversational-assistant, and personalisation pipelines now supports various products in Adobe including Adobe Customer Journey Analytics, Experience Platform, Marketo, and the Community Platform.

• Conversational assistants: We reduced routine load for sales and marketing teams by answering common questions, booking calls, and routing harder issues or edge-cases to human agents. The stack combined retrieval-augmented Q&A, chat summarisation with guardrails, query standardisation, and improving dialogue-flow design.

• Content strategy: We connected granular attributes of content (text and images) and connected to audience signals to rate content assets, highlight competitive gaps, and guide marketers toward higher-impact content choices (Catchy Content and Content Tensor).

DEI Initiatives: I'm passionate about mentoring and making STEM more inclusive. I’ve guided K-12 students, undergraduates, and professionals about AI and how to use it effectively in their work through talks and initiatives.