Summary
Satya Arjunan is a biomedical data science leader and software engineer with 13 years of experience bridging systems biology research and production-grade scientific software. Currently managing the Biomedical Data Science Facility at Victor Chang Cardiac Research Institute and a long-term visitor at RIKEN, he designs ML models, physically accurate simulators and Bayesian inference pipelines using C++, Python, R and Stan. He brings deep HPC and containerisation expertise (Docker), a track record of scientific programming with Qt/PyQt GUIs, and practical experience translating postdoctoral systems-biology insights into reusable research software. Known for combining rigorous probabilistic modelling and directional statistics with performant C++ simulations, he often ships tools that accelerate experimental analysis rather than just exploratory code. Trained with a PhD in Systems Biology from Keio University and an MSc/BE from Universiti Teknologi Malaysia, he blends academic rigor with hands-on engineering to deliver reproducible, high-performance research infrastructure.
13 years of coding experience
6 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Universiti Teknologi Malaysia
Doctor of Philosophy, Systems Biology, Doctor of Philosophy, Systems Biology at Keio University (Tokyo)