Summary
Madu Rathnayake is a data analyst and computational chemist with nine years of experience applying Python-driven data science and molecular simulation to advance next-generation solar cell materials. Currently at Allianz Australia, he brings a research-first mindset from a PhD in Computational Chemistry and a multi-year role at the ARC Centre of Excellence in Exciton Science, where he developed QM/MM software and used statistical and time-correlation analyses to extract thermodynamic and mechanical properties. Comfortable collaborating with experimentalists, he translates complex trajectory and thermodynamic data into actionable insights and reproducible code using NumPy, Pandas, SciPy, and scientific visualization tools. His background spans bioinformatics, web systems and lab teaching, reflecting an uncommon mix of scientific rigor, software tooling, and practical lab-facing communication.
9 years of coding experience
6 years of employment as a software developer
Master of Science, Analytical Chemistry, Master of Science, Analytical Chemistry at University of Peradeniya
The University of Sydney
BSc, Chemistry, Biochemistry, Zoology, BSc, Chemistry, Biochemistry, Zoology at University of Kelaniya Sri Lanka
GCE Advanced Level, Biology, GCE Advanced Level, Biology at Maliyadeva College
English, Sinhalese