Adam Sardar is Head of Data Science Tech Excellence & Software with 11 years of experience building production-ready predictive AI, MLOps and scientific software across pharma and insurance. He has led teams of PhD data scientists to deliver computational products that translate complex bioinformatics and phenotypic screening insights into deployed APIs and web apps. His work spans algorithm design, Bayesian and network-based models, reproducible pipelines and software engineering practices that prevented noisy experimental data from driving decisions. At Evotec and e-therapeutics he combined hands-on coding (Python, R Shiny) with strategic roadmap setting and stakeholder-facing scientific communication, and he holds an MRes in Complexity Sciences from the University of Bristol. Now based in Bath, he focuses on operationalising ML in regulated environments, bringing a rare blend of domain depth in chemical biology and pragmatic engineering rigor. An often-overlooked strength is his track record of mentoring junior scientists in software carpentry and turning academic methods into robust, commercial-grade tools.
11 years of coding experience
5 years of employment as a software developer
Complexity Sciences (MRes) Complex Systems Computer Science Applied Maths Network Science Statistical Mechanics, Complexity Sciences (MRes) Complex Systems Computer Science Applied Maths Network Science Statistical Mechanics at University of Bristol
Contributions:8 pushes, 2 branches in 4 years 4 months
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Adam Sardar - Head Of Data Science Tech Excellence & Software