I work on machine learning for scarce-data problems (bioacoustics, medical imaging) and build and publish iOS apps.
Open to: internships, work experience and contract projects with companies building software or hardware.
- First-author paper, under minor revisions at Neural Computing and Applications (Springer): few-shot learning to detect bird alarm calls across species. 71.6% macro F1 on unseen recordings from 9 countries. Code: FS1, FS2, FS3
- Johns Hopkins CCVL (Jul to Aug 2026): built the annotation system for BodyMaps-Search, a public medical imaging platform. BodyMaps-website
- University of Nottingham Malaysia (Mar to Aug 2025): research internship on bird alarm call detection.
- CT Segmentation Viewer: browser-based CT viewer with organ segmentation overlays
- Equipr: on-device gym machine recognition (iOS, Core ML)
- Siftr: dietary restriction checker (web)
- GrindTheBooks: textbook-to-mini-course study app (iOS)
- TeachMeMusic: feedback app for music students
- ReportBullyingNow: anonymous bullying-reporting platform, presented to my school board
- stream-web: live-streaming platform for peer mentoring
- tutorviolin: Swift prototype of TeachMeMusic
- UK Rocketry Challenge 2027 (team entry)
- IRIS Big Data: ATLAS
- Accessibility tools for disabled children