About

Yumin Cheong

MD candidate, Yonsei University College of Medicine
Genome editing + Functional genomics

I’m a fourth-year medical student deeply interested in gene editing and therapeutic strategies for rare diseases. I focus on building computational tools that bridge gene editing methods and their translational potential for rare diseases.

In 2023, we developed DeepPrime, a deep learning model designed to accurately predict prime editing outcomes to assist in the design of pegRNAs. Using this, we later applied it to a 2025 study on ATM SNVs, enabling comprehensive pathogenicity screening and interpretation of previously uncharacterized variants. See more

My current focus is on applying deep learning to protein variant interpretation, with the broader aim of improving our understanding of disease-causing mutations and enabling their therapeutic targeting.