At CSAIL, she addresses the UX rigidity of foundational AI models (statistical diffusion models, LLMs and VLMs) via "Beyond Prompts" project funded by SiDARA grant with Prof. Randall Davis, Prof. Takehiko Nagakura and PhD Student Rohit Sanatani. She builds fine-tuned AI design system that tests a novel interaction paradigm based on analogical reasoning, reducing the gap between stakeholders and giving users more direct control over generative processes than standard LLMs.

Her personal research focus is grounding generative AI outputs in real-world data for domain-specific applications via post-processing. She introduces the approach IIGenAI (Insight Informed Generative AI) to support architecture professionals and students early in their design process leading to decision-making. This research is advised by Prof. Takehiko Nagakura, Prof. Terry Knight and Prof. Ashia Wilson.

Beyond research, she actively engages in product engineering and design. She won the MIT GenAI Hackathon for a contextual recommendation system using AI and AR for e-commerce. At ACADIA '23, she led a workshop on Hybrid Making- fostering collaborative relationships between 'maker and made' by implementing sensors connected to VR visualization, transforming digital creation into a dynamic, interactive process.

Her research has been published at NeurIPS, HCII, and CAADFutures. She has presented at the IEEE Forum for AI and E-commerce at Microsoft NERD Center and the IIT Madras XR Symposium, and has been featured in Forbes and MIT News. She has actively pitched her start-up ideas at various venues and investors like MIT Sandbox, Global Ventures (15.375) by Prof. Ramesh Raskar, etc. She was an organizing member for India Conference @ Harvard (largest in US), where she managed and moderated the panel 'Lab-to-Scale: Commercialization of Deep Technologies' featuring industry pioneers.

Previously, she worked in Architecture Design and technology industry as a product manager, design technologist, entrepreneur, and architect. This path -from architecture to design technology to AI research -enables her to translate between technical teams, designers, and business stakeholders. She led cross-functional teams from ideation to deployment, with extensive experience in user testing, experiment design, and implementation.

Her vision: democratizing satisfying experiences with technology that enhance human agency rather than restrict it.