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About

From physics to data science.

I studied physics at the University of Colombo and completed a Master of Data Science with Distinction at RMIT University. My background combines physics training with research in deep learning and language models.

My undergraduate research used deep learning to study drought in Sri Lanka. I subsequently worked on neural-network implementation on FPGAs through the JENNIFER2 mentorship programme and supported physics laboratory classes and tutorials as a teaching assistant. At RMIT, my research focused on adapting language models under limited computing resources.

Academic CV (PDF)

Education

2024–2026

Master of Data Science

RMIT University — completed with Distinction; degree conferred in July 2026.

2017–2021

BSc Honours in Physics

University of Colombo — physics, with foundations in mathematics and computer science.

Research and teaching

2025–2026

Master’s research

RMIT University — investigated memory-efficient language-model adaptation for structured text generation from website URLs.

Jun 2021–Apr 2022

Temporary Teaching Assistant

University of Colombo — supported General Physics laboratory classes, assessments, and remote practical materials, alongside undergraduate laboratory work and tutorials in Nuclear and Particle Physics.

2021–2022

CMS/GEM technical briefings

Attended briefings with the University of Colombo particle physics team.

Mar 2020–Mar 2021

Undergraduate drought research

University of Colombo — studied stacked LSTM networks for drought-index prediction in Sri Lanka. Presented the work at the International Conference on Multidisciplinary Approaches in Sciences in November 2021.

Scientific programmes

19–27 Jul 2021

JENNIFER2 summer school

Eight-day online programme covering theoretical and experimental particle physics, including heavy-flavour and neutrino physics, accelerators, detectors, statistics, and machine learning. Followed by the August mentorship.

Aug 2021

JENNIFER2 summer mentorship

Implemented neural-network methods on FPGAs during the mentorship programme with Professor Paolo Branchini, INFN Roma Tre.

Aug 2018

Asian Science Camp

Selected to represent Sri Lanka at the Asian Science Camp in Manado, Indonesia.

Leadership and service

May–Jul 2026

Student–Staff Consultative Committee Representative

RMIT University — represented Master of Data Science students in discussions with course coordinators and academic staff.

Feb 2020–Aug 2021

President, Physics Society

University of Colombo — organised student discussions, guest lectures, and academic activities for physics undergraduates.

Research interests

I would like to explore machine-learning methods for particle-physics simulation, particularly how they can reduce computing cost while preserving accuracy. Efficient model adaptation and scientific computing are the main directions I hope to develop through doctoral research.