About

Yumin Cheong

I’m a medical student deeply interested in gene editing and therapeutic strategies for rare diseases. I’m focusing on building computational methods to predict and optimize gene editing.

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.