I am a PhD candidate at the VECG Group at University College London, where I do research on (outdoor) asymmetric collaborative mixed reality. I have a BSc and MSc in Computer Science and previously worked at IBM as a data scientist and at Microsoft Research and TNO Research as a research intern.
My work has spanned various topics within the field of computer science, including human-computer interaction, computer-supported cooperative work, and generative artificial intelligence. However, my common thread has been to focus on building human-centered systems that are both effective and enjoyable to use.
Ph.D. Computer Science
M.Sc. Computer Science
B.Sc. Computer Science
- Conducted research within the EPIC group (Extended Perception, Interaction & Cognition) and HCAIX group (Human-Computer & Artificial Intelligence Experiences), under the mentorship of Bala Kumaravel, Nicolai Marquardt, and Andy Wilson.
- Contributed to two co-first author papers; one presently under review and the other in preparation.
- Worked on advanced systems driven by custom machine learning models, delivering direct business impact for enterprise clients.
- Communicated analytical findings to diverse audiences, steering strategic decision-making for internal and external stakeholders.
Cloud Solution Architect Intern (Data & AI)
- Designed and engineered advanced data models and analytics solutions for global clients and internal Microsoft teams.
- Proposed a data-centric methodology to enhance efficiency in data center construction process management.
- 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 master’s thesis as well as a paper presented during the VHCIE workshop at IEEE VR 2021.