Fabio Hedayioglu is a Model Engineer and computational researcher with 11+ years of experience applying advanced C++, Java, Python and GPU programming to biologically motivated problems and production tools. He has built high-performance simulators (CUDA, C++17) and scalable pipelines that generated multi-terabyte datasets for parameter estimation and ML-driven insights into protein production and mRNA design. At the University of Kent he translated experimental data into validated in silico tools now used across a multi-institutional R3 consortium to optimize tissue-specific mIVTmRNA constructs, and he now brings that applied research focus to industry at Skyral. His background spans embedded and telemedicine systems, education-focused IDE development (BlueJ/Greenfoot), and optimized game and Bluetooth frameworks, reflecting a rare mix of low-level performance engineering and biological modelling. Fabio holds a PhD in Computer Science and combines rigorous academic methods with hands-on software engineering to turn theoretical models into production-ready solutions.
10 years of coding experience
20 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at Universidade Federal de Pernambuco
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Universidade do Porto
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