Steven Sachio is a Senior Data Scientist and Imperial College post-doc who builds computational tools for machine-learning aided design space identification, translating PhD research into the Python package dside and an upcoming commercial GUI product. With a background in chemical engineering and process systems, he combines domain expertise in biopharmaceutical process integration with practical software engineering skills honed across research and industry. He has experience applying quantitative methods to real-world problems, from design-space analytics to systematic trading strategy backtests. Based in the UK and active on GitHub, he focuses on making advanced design-space methods accessible to practitioners outside academia.
4 years of coding experience
BEng (Hons), Chemical Engineering, BEng (Hons), Chemical Engineering at The University of Manchester
Doctor of Philosophy - PhD, Design space analytical tools for flexible process design, Doctor of Philosophy - PhD, Design space analytical tools for flexible process design at Imperial College London
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