Hanlun Jiang 蔣函侖

  • Fellowship in 2023 at University of California, Berkeley

About Hanlun Jiang’s work

Dr Hanlun Jiang is a computational biologist whose current research is focused on developing deep learning frameworks for predicting and designing sequence-specific interactions between proteins and nucleic acids.

His research addresses transcription factors (TFs) which play crucial roles in modulation of gene expression by recognizing specific DNA sequences in chromatin and guiding transcription. Accurately predicting the sequence-specific DNA recognition by TFs not only improves the understanding of the natural genetic circuits, but also contributes to the development of new drugs for human diseases.

Dr Jiang aims to develop novel machine learning models using high-throughput TF-DNA binding profiles, crystal structures, and predicted TF-DNA complex structures to accurately predict sequence-specific TF-DNA recognition. The trained models can also be used to design new TFs for applications in synthetic biology and therapeutics.


Dr Hanlun Jiang completed his BSc in Molecular Biomedical Sciences from the Hong Kong University of Science and Technology in 2013, graduating with first-class honours. He then took an MPhil in Bioengineering at the same institution, graduating in 2015. Dr Jiang earned his PhD in Biochemistry at the University of Washington in 2022. He is currently carrying out his postdoctoral research at the University of California, Berkeley, with the support of a Croucher Fellowship.