Summary
Daniel Farrell is a senior scientist and full-stack software engineer with a decade of experience applying cloud-native engineering, machine learning, and computational modeling to protein design and structural biology. Currently at Johnson & Johnson, he builds end-to-end platforms for protein design; previously he co-founded a cryo-EM services and computational modeling firm and led computational efforts at Cyrus Biotechnology to integrate ML, databases, and web tools for therapeutic protein development. His background blends a PhD in biochemistry and hands-on C++/PyBind11 systems work with practical cloud devops—optimizing Kubernetes, Docker, and CI/CD pipelines to cut costs and accelerate deployments. Comfortable moving between lab and code, he has a track record of shipping production-grade workflows for structure prediction, data compression libraries, and interactive analysis tools that make complex biophysics accessible to experimental teams.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biochemistry, Doctor of Philosophy - PhD, Biochemistry at University of Washington
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at University of Iowa