Build, Learn, and Lead. Together in AI.
I’m running for Co-Head of I-X AI Labs because I believe AI should be community-driven. I want to build a space where anyone at Imperial who is curious and willing to learn can grow, collaborate, and build meaningful AI projects together.
My experience sits at the intersection of AI and real-world impact. I’ve worked on medical AI projects using machine learning and computer vision to diagnose diseases and analyse clinical data. In every team I’ve been part of, I’ve learned that good ideas succeed when people share knowledge, support each other, and build together with purpose. That’s what I want to bring to I-X AI Labs.
If elected, I will focus on:
- Practical learning for all levels
Clear learning tracks for beginners and advanced members, from Python basics to deep learning and research. - Hands-on research culture
Reproducible research sessions, paper study groups, and mini research sprints. -
Real projects with real outcomes
Team projects with Imperial labs and industry partners, with chances to publish, build open-source tools, or showcase work. -
Mentorship and collaboration
Coding clinics, peer mentorship, and career guidance for research, industry roles, and PhD paths. -
Community first
Supportive environment, social events, and a culture where people enjoy learning together.
I want to help build a society that isn’t just about attending events but about growing skills, doing meaningful work, and making AI accessible to everyone at Imperial.