Summary
Daniel Lin is a software engineer with 11 years of experience specializing in backend infrastructure, cloud computing, and software architecture, most recently contributing to the Semantic Scholar team at the Allen Institute for AI. He previously built data-driven systems at Dana-Farber Cancer Institute, combining healthcare-focused data science needs with production-grade engineering. With a B.S. and M.Eng. in Computer Science from Oregon State University, he balances rigorous academic foundations with hands-on delivery. Daniel is passionate about effective project management and engineering practices that turn research and complex data workflows into reliable, maintainable services. Based in Seattle, he brings a pragmatic focus on scalable systems and cross-functional collaboration that surfaces in both research and clinical data contexts.
11 years of coding experience
Oregon State University
Chinese, English