I’m a human-computer interaction researcher studying interpersonal and human-AI collaboration in mixed reality. Through the design of novel interactive systems and evaluation of their use in context, I investigate how spatial environments can be computationally parsed, represented, and transformed to support new forms of situated action and shared understanding. My PhD research in the VECG Group at University College London examines asymmetric collaboration in mixed reality, analyzing how spatial configurations and context shape interaction when collaborators have differing roles, capabilities, or interfaces. By combining methods and concepts from human-computer interaction, generative AI, computer vision, and computer-supported cooperative work, my work connects sensing and inference with interaction design and evaluation.
I hold a BSc and MSc in Computer Science and have completed research internships at Google (BIRD Lab), Niantic Labs, Microsoft Research (EPIC Group), and TNO Research (Intelligent Imaging), and worked as a data scientist at IBM before starting my PhD.
Ph.D. Computer ScienceUniversity College London
M.Sc. Computer ScienceDelft University of Technology
B.Sc. Computer ScienceLeiden University
Research / Software Engineering InternGoogle
- Continued my research projects at the BIRD Lab while collaborating with researchers and engineers across the Google XR organization.
- Led the research and writing of a first-author paper (in preparation) introducing a novel system driven by 3D Gaussian Splatting (3DGS). Additionally, served as a core contributor to three other publications including Sensible Agent (ACM UIST ‘25) and XR Blocks.
Student ResearcherGoogle
- Conducted research on the future of multimodal AI-driven AR interfaces at the Blended Intelligence Research & Devices (BIRD) Lab under the mentorship of Mar Gonzalez-Franco, Eric Gonzalez, Ruofei Du, and Harish Kulkarni.
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. I presented a follow-up work titled AdjustAR 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.
Web Co-Chair
- IEEE International Symposium on Mixed and Augmented Reality (IEEE ISMAR 2025, 2026)
- 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