Research Interest Description:

I am fascinated by the epigenetic regulation of gene expression, with a particular focus on how transcription factors and chromatin modifiers shape cellular identity and function. I am driven to translate fundamental insights in this field into therapeutic strategies for cancer, age-related diseases, and developmental disorders.

For my postdoctoral training, I aim to integrate artificial intelligence with biochemical and molecular biology approaches to design and experimentally validate novel drugs and inhibitors that target key epigenetic mechanisms and transcriptional regulators to precisely modulate gene expression in a disease-specific context.

In the long term, I aspire to contribute to the advancement of precision medicine by leveraging AI-guided analyses of patient-specific gene expression profiles and therapeutic response patterns. By combining computational prediction with targeted modulation of tumor suppressor and repressor gene activity, I hope to enable highly personalized treatments that improve patient outcomes.