I am a human-computer interaction researcher focused on interpersonal and human-AI collaboration in mixed reality. My work examines how spatial environments mediate collaboration, with a focus on how they can be computationally parsed, represented, and transformed to enable new forms of situated action and shared understanding across diverse situations and modalities. As part of my PhD in the VECG Group at University College London, I focus specifically on asymmetric collaboration in mixed reality, where collaborators operate with differing roles, capabilities, or interfaces, and spatial context shapes interaction. More broadly, my work is situated at the intersection of human-computer interaction, computer vision, computer-supported cooperative work, and generative AI.
I am currently a research intern in the BIRD Lab (Blended Interaction Research & Devices) at Google. I hold a BSc and MSc in Computer Science and have previously completed research internships at Niantic Labs, Microsoft Research, and TNO Research, and worked as a data scientist at IBM.
Ph.D. Computer ScienceUniversity College London
M.Sc. Computer ScienceDelft University of Technology
B.Sc. Computer ScienceLeiden University
Research / Software Engineering InternGoogle
- Continuing my research on the future of multimodal AI-driven AR interfaces at the Blended Interaction Research & Devices (BIRD) lab from Google’s offices in the Bay Area.
Student ResearcherGoogle
- Conducted research on the future of multimodal AI-driven AR interfaces at the Blended Interaction Research & Devices (BIRD) lab under the mentorship of Mar Gonzalez-Franco, Eric Gonzalez, Ruofei Du and Harish Kulkarni.
- Led the research and writing of a first-author paper currently in preparation. Additionally, contributed to three other publications, including one accepted for presentation at ACM UIST ‘25.
Research InternNiantic Labs
- Conducted research on the future of location-based AR authoring under the mentorship of Jessica van Brummelen and Gabriel Brostow as a part-time internship during my Ph.D. studies.
- Authored a first-author paper on CoCreatAR at ACM CHI ‘25, which received a Best Paper Honorable Mention award and had a related non-provisional patent application filed. A follow-up work will be presented as a poster at ACM UIST ‘25.
Research InternMicrosoft Research
- Conducted research within the EPIC group (Extended Perception, Interaction & Cognition) under the mentorship of Bala Kumaravel, Nicolai Marquardt, and Andy Wilson.
- Authored two co-first-author papers at ACM UIST ‘24 with two related non-provisional patent applications; one exploring 2D scene blending for teleconferencing (Best Paper Honorable Mention award) and the other focusing on 3D scene blending for telepresence.
Data ScientistIBM
- Built and deployed custom ML models to solve client-specific problems and improve enterprise processes.
- Presented insights to technical and non-technical stakeholders to support strategic decisions.
Cloud Solution Architect Intern (Data & AI)Microsoft
- Developed data models and analytics solutions for global clients and internal teams.
- Designed a proof-of-concept system using a data-driven approach to improve data center construction management.
Research InternNetherlands Organisation for Applied Scientific Research (TNO Research)
- Conducted research towards a novel approach to head-mounted display (HMD) removal within RGB-D images at the Intelligent Imaging group under the mentorship of Frank ter Haar.
- Designed and evaluated a generative adversarial network (GAN) for the joint inpainting of RGB-D images. Described the results in my MSc thesis as well as a paper at the VHCIE workshop at IEEE VR 2021.
CoCreatAR: Enhancing Authoring of Outdoor Augmented Reality Experiences Through Asymmetric Collaboration
SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene Blending
BlendScape: Enabling End-User Customization of Video-Conferencing Environments Through Generative AI
DreamCodeVR: Towards Democratizing Behavior Design in Virtual Reality with Speech-Driven Programming
Extending the Open-Source Social Virtual Reality Ecosystem to the Browser in Ubiq
Immersive Competence and Immersive Literacy: Exploring How Users Learn about Immersive Experiences
Exploring User Behaviour in Asymmetric Collaborative Mixed Reality
Ubiq-Exp: a Toolkit to Build and Run Remote and Distributed Mixed Reality Experiments
StreamSpace: A Framework for Window Streaming in Collaborative Mixed Reality Environments
AIsop: Exploring Immersive VR Storytelling Leveraging Generative AI
Ubiq-Genie: Leveraging External Frameworks for Enhanced Social VR Experiences
Towards Outdoor Collaborative Mixed Reality: Lessons Learnt from a Prototype System
Towards Understanding, Alleviating, and Exploiting the Effects of Asymmetry in Collaborative Mixed Reality
Generative RGB-D Face Completion for Head-Mounted Display Removal
Star Tag: a Superhuman Sport to Promote Physical Activity
Web Co-Chair
- IEEE International Symposium on Mixed and Augmented Reality (IEEE ISMAR 2025)
- IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2026)
Postgraduate Teaching AssistantUniversity College London
- Virtual Environments (COMP0113) with Prof. Anthony Steed
- Systems Engineering (COMP0016) with Prof. Dean Mohamedally
Mentor
- Molly Zhu (thesis project, UCL ME Computer Science): Real-Time Speech Captioning and Visualization with Ubiq-Genie
- Rowan Meng (summer intern, UCL): Embodied LLM-based Programming with Ubiq-Genie
- Aiman Sohail (summer intern, Queen Mary University): Generative Storytelling in Social VR with Ubiq-Genie
- Pruetikorn Chirattitikarn (thesis project, UCL MSc Computer Science): Exploring Environmental Representations in Collaborative MR
- Angela Yu (thesis project, UCL MEng Computer Science): Interactive Avatar Appearance Modelling with Generative AI
- Praveen Selvaraj (thesis project, UCL MSc Computer Science): Escape Room in Asymmetric Collaborative MR