Careers & Learning

Inside AJHG: A Chat with Florin Ratajczak

Posted By: The American Journal of Human Genetics, AJHG AJHG: What motivated you to start working on this project?  FR: I had previously developed the graph machine learning framework, Speos, which specializes in the prediction of core genes across several traits. The respective paper, however, primarily focused on benchmarking, validation, and prediction accuracy. Although it... Read More

Inside AJHG: A Chat with Ji Tang

Posted By: The American Journal of Human Genetics, AJHG AJHG: What motivated you to start working on this project?  JT: This project emerged from an empirical problem we were facing in a separate analysis. In that analysis, we wanted to examine the pattern of genetic variation driven by unique ancestry in human populations in order... Read More

Inside HGGA: A Chat with Oliver Pain

Posted By: HGG Advances HGGA: What motivated you to start working on this project? OP: Despite significant advances in our understanding of the genetic basis of complex traits and diseases — and the potential of polygenic scores (PGS) to guide personalized medicine — these tools are still only beginning to enter clinical use. A major... Read More