Summary
Ren Yi is a Senior Software Engineer at Google with seven years of experience bridging deep learning research and computational biology. Trained as a PhD computer scientist at NYU, he has built neural models for cell-type–specific protein–DNA interactions, contributed to genomics tooling like DeepVariant data augmentation at Google Brain Genomics, and interned at DeepMind, demonstrating a rare mix of production engineering and wet-lab–aware computational research. He brings hands-on expertise in RNA-seq/ATAC-seq analyses, transcriptional network inference, and deploying ML improvements for genomics pipelines. Based in New York, he focuses on AI-driven applications for precision medicine, drug discovery, and clinical decision-making, aiming to translate academic ideas into scalable tools. An early iGEM silver medalist, he retains practical lab experience that informs his ML-driven biological solutions.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York University
Bachelor of Science (BS) Biological Sciences, Bachelor of Science (BS) Biological Sciences at Lanzhou University
High School Diploma Science, High School Diploma Science at Shandong Experimental High School
English, Chinese