Ying Ji is a data scientist with nine years of experience blending genetics, biostatistics, and product-focused machine learning to solve real-world problems. Currently at Meta, she works on Facebook Social Gen AI and app monetization—building predictive models that balance revenue and user engagement and improving ad relevance through user intent signals. Her PhD in Human Genetics and MS in Biostatistics from Vanderbilt underpin prior research using multi-omics and supervised learning to identify schizophrenia risk genes and improve cancer risk prediction in East Asian populations. Comfortable moving models from complex biomedical data into production product settings, she brings a rare mix of domain expertise and product sensibility. Based in California, she pairs rigorous academic training with practical impact on large-scale ad ranking and delivery systems.
9 years of coding experience
2 years of employment as a software developer
High School, High School at The High School Affiliated to Tsinghua University
Doctor of Philosophy (Ph.D.), Human Genetics, Doctor of Philosophy (Ph.D.), Human Genetics at Vanderbilt University
Bachelor’s Degree, Biology/Biological Sciences, General, Bachelor’s Degree, Biology/Biological Sciences, General at Tsinghua University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.